Index

Muhammad Ali Tahir
Assistant Professor
Department of Computing

School of Electrical Engineering and Computer Science (SEECS)
National University of Sciences and Technology (NUST)
NUST Campus H-12, Islamabad
Tel: 05190852163
Email: ali.tahir@seecs.edu.pk
Web: http://speech.seecs.nust.edu.pk/index.html

Specialization:
Automatic Speech Recognition, Pattern Recognition, Image Processing

Education:
Ph.D. - Computer Science / Automatic Speech Recognition - RWTH Aachen University - Germany - 2015

Dr. Muhammad Ali Tahir has completed his Ph.D. in Automatic speech recognition from RWTH Aachen University. During his 11 year stay in Germany he has worked on different EU-funded projects related to speech recognition, primarily aiming to bridge the language divide in a multilingual Europe. During his time at NUST he has been collaborating with local industry to create Urdu voice based solutions for conversational agents and vehicle navigation. He has also launched an Urdu website UrduAsr which is being used by thousands of people for Urdu voice based typing. He is currently working at co-PI at Deep Learning Lab, National Centre for Artificial Intelligence.


Memberships: HEC Patent Evaluation Committee, Association for Computing Machinery, Pakistan Engineering Council
Journals Reviewer: Elsevier Computer Speech and Language, IEEE Journal of Biomedical and Health Informatics, Elsevier Speech Communication, Mathematical Problems in Engineering.


1 .
Clinically Significant Prostate Cancer (csPCa) segmentation/Classification using deep learning on multi-parametric Magnetic Resonance (MR) Images:

Prostate cancer is a form of cancer that develops in the prostate gland and is found in males. In the diagnostic procedure of prostate cancer (PCa), Multi-Parametric Magnetic Resonance Imaging (mpMRI) is recommended to be used. The mpMRI is interpreted by a Radiologists before the biopsy to help in the selection of patients having a risk of clinically significant PCa. Radiologists use the Prostat...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2022
Status: Active
Advisor
Rafia Mumtaz [DoC]
Committee Members
Muhammad Daud Abdullah Asif [DoC] Zuhair Zafar [DoC]
Students
Inshal Saleem [MSDS-2K20]

2 .
Deep learning based 3D object detection in adverse weather conditions using LiDaR data:

3D object detection involves recognizing an object and determining 3d information about the object like size, orientation, and position in the world. It has many applications like augmented reality, autonomous vehicles, and robotics. This is done using 3d data from sensors like Light detection and ranging (LiDAR) which can safely determine distances of objects from sensors, unlike normal cameras....


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2022
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Tahira Lashari [DoC]
Students
ALISHBA TAHIR [MSDS-1]

3 .
Green gram (Mongbean) crop health monitoring, leaf segmentation and disease classification using Deep Learning:

Green gram (Vigna radiate) is an annual herbaceous legume from the family Fabaceae. It is widely grown in the tropics and subtropics. The crop is sensitive to a number of biotic and abiotic stresses, which can lead to significant yield losses. The UAV platform provides the multispectral data used for generating the Normalized Difference Vegetation Index (NDVI), which is a widely used remote sensi...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2022
Status: Active
Advisor
Rafia Mumtaz [DoC]
Committee Members
Muhammad Daud Abdullah Asif [DoC] Tahira Lashari [DoC]
Students
Muhammad Jawad Bashir [MSDS-2K20]

4 .
Remote sensing and AI-based deforestation and re-forestation potential analysis in the wake of climate change - - A case study of flood affected regions:

Pakistan is one of the countries that are worst affected by climate change. One of the biggest reasons for that is deforestation across the country. There are a number of reasons that have contributed to the disappearance of green cover in Pakistan. Frequent floods are one of the reasons that can cause the loss of forests in the affected areas. The recent floods in Pakistan washed away a large nu...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2022
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Hashir Moheed Kiani [DoC]
Students
MUHAMMAD HASSAN [MSDS-1]

5 .
A hybrid recommender system for e-learning platforms:

This research paper introduces a software system called GrepBing, designed to provide conceptual clarity in STEM-related courses for e-learning. By providing students with a centralised platform to access verified and organised material, the system aims to serve as a knowledge repository. GrepBing's recommender system, which addresses the issue of information overload by giving learners personali...


Project Level: PG
Project Type: Thesis Knowledge Area: Information Management
Year: 2022
Status: Completed
Advisor
Sidra Sultana [DoC]
Committee Members
Seema Jehan [DoC] Nazia Pervaiz [DoC] Zuhair Zafar [DoC]
Students
Hafsa Mehmood [MSAI-2K21]

6 .
Best-before: Fruit freshness detection using thermal imaging:

Cash crops like mangoes are manually classified for export purposes which is not only tedious but also error-prone. Therefore, we aim at predicting shelf life of perishable food items using thermal imaging.


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2022
Status: Transferred to Non-Thesis
Advisor
Zuhair Zafar [DoC]
Committee Members
Seema Jehan [DoC] Nazia Pervaiz [DoC] Seemab Latif [DoC]
Students
Usama Naveed [MSDS-2K20]

7 .
Deep learning for temporal analysis of urban air quality assessment:

Post Corona, World has realized the importance of a clean environment around people. There has been widespread evidence of the strong influence of air quality on the quality of life in different areas of the world and Pakistan is no different from the rest of the world. In 2020 Pakistan was ranked as the second most polluted country, according to the World Air Quality Report. In November, air qua...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2022
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Muhammad Daud Abdullah Asif [DoC]
Students
ARSLAN AMIN [MSCS-9]

8 .
Agriculture land Scouting using High resolution optical imagery and Super Resolution multispectral imagery:

Drone technology plays an instrumental role in monitoring crop health by recording crop video and images. Typically, an optical camera is installed on the drone for surveying purposes, however, special-purpose cameras such as spectral cameras are deployed on the drones for capturing NIR images to visualize the crop vigor in vegetation indices such as Normalized Difference Vegetation Index (NDVI)....


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2022
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Committee Members
Bilal Ali [DoC] Muhammad Daud Abdullah Asif [DoC]
Students
Rameesha Gull [MSDS-2K20]

9 .
Analyzing the Severity level of Asthma (SLA) using Artificial Intelligence:

Asthma is a chronic inflammatory lung disease which is characterized by swelling and narrowing of airways. Respiratory sounds are important indicators of respiratory health and respiratory disorders. The sound emitted when a person breathes is directly related to air movement, changes within lung tissue and the position of secretions within the lung. Recent research has proposed intelligent syste...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2021
Status: Active
Advisor
Rafia Mumtaz [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Omar Arif [DoC]
Students
Khadija Amjad Sipra [MSCS-2K20]

10 .
Hiring through social networks: A natural language processing automation of conversation:

Linkedin is used by recruiters in the recruitment industry to find candidates for jobs.
Recruiters search for candidates, select potential candidates (prospects), and send job
invitations to each of them by writing messages manually. Writing messages manually
and send them to hundreds of people is a tedious task. Also, the messages sent by
recruiters to prospects should receive maximum respon...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Safdar Abbas Khan [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Muhammad Khuram Shahzad [DoC] Adnan Aslam [BS]
Students
SHAIDA MUHAMMAD [MSCS-9]

11 .
Cognitive Healthcare using Technology Integration:

The Internet of Medical Things plays an important role in the healthcare domain for real-time monitoring of patients with high reliability, and accuracy. According to WHO, in Pakistan, 30% to 40% of deaths are caused due to cardiac attacks which are approximately 200,000 deaths per year. A comprehensive literature study will be conducted to explore, analyze and compare existing system architectur...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Tahira Lashari [DoC]
Students
Muhammad Talha [MSIT-2K20]

12 .
Deep Learning based Analysis of OPtical Coherence Tomography Images for Assessment of Macular Diseases:

The extraction and identification of retinal lesions plays a key role in accurately classifying the retinal pathology. This project will utilize the image processing and deep learning techniques for classification of retinopathy using optical coherence tomography (OCT) image analysis. Currently, Transfer Learning is used for classification of retinal diseases and Lesion aware networks are not uti...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Muneer Ahmad [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Muhammad Usman Akram [ECM] Muhammad Moazam Fraz [DoC]
Students
FAIZAN KHAN [MSEE-10]

13 .
Normalization Of Multi-Language Code-Mixed Text for Natural Language Processing Applications:

In today's world, there is a large amount of textual data available on the internet. Performing natural language processing tasks such as sentiment analysis and classification are practical tasks in many decision-making processes. However, on social media, user written text such as comments on YouTube, Facebook and Twitter do not follow strict grammatical rules and can be written in mixed languag...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2021
Status: Suspended
Advisor
Adnan Rashid [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Rafia Mumtaz [DoC]
Students
DANIYAL ALI [MSDS-1]

14 .
Landmine Detection using Electromagnetic Spectral Signatures:

The main motivation of this research is to produce landmine detector technology which can reduce the FAR to increase the efficiency and safety of detection operation in Near IR Systems.
The research includes the design and creation of a new measurement system to determine the spectral and spatial characteristics of target objects such as landmine replicas and small items of metallic clutter, whi...


Project Level: PG
Project Type: Thesis Knowledge Area: Computational Science
Year: 2021
Status: Completed
Advisor
Muhammad Imran Malik [BS]
Committee Members
Muhammad Ali Tahir [DoC] Muhammad Moazam Fraz [DoC]
Students
Ali Ahmed Khan [MSCS-2K20]

15 .
ASRB: A Novel Automatic Speech Recognition for Spoken Burushaski Language:

The modern digital era demands any language to have a digital form to survive and the more than six spoken languages of Gilgit Baltistan have less to no form of digital existence. All of these languages are spoken and do not have a standardized writing system in place. These languages have common phonetic features. Burushaski is considered to be the oldest and the most difficult language among th...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Muhammad Khuram Shahzad [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Mehdi Hussain [DoC] Safdar Abbas Khan [DoC]
Students
HUSSAIN WALI [MSDS-1]

16 .
Urdu Handwriting Generation using Generative Adversarial Networks (GANs):

Handwriting Recognition systems performance has improved significantly but is still limited by the amount of available training data. Since gathering data is a challenging and costly task, there is a need to increase the dataset by applying different techniques. One possible solution is to make a model that can generate similar yet different samples from the existing data samples. Generative Adve...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Faisal Shafait [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Adnan Ul-Hasan [ECM] Muhammad Imran Malik [DoC]
Students
MARIUM SHARIF [MSEE-11]

17 .
Test Suite Reduction using K-means Clustering:

Regression testing involves re-executing test suites whenever software undergoes any update. This process entails high cost due to continuous integration practices adapted by the software industry. In order to address this issue, we propose a test suite reduction approach using K-mean clustering algorithm that can group similar test cases based on a certain distance metric. Further, we will appl...


Project Level: PG
Project Type: Thesis Knowledge Area: Software Engineering
Year: 2021
Status: Completed
Advisor
Seema Jehan [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Omar Arif [DoC] Qaiser Riaz [DoC]
Students
JABRAN SALEEM [MSCS-9]

18 .
Application of deep learning for Urdu numeral recognition:

Urdu is a complex language as it is an amalgam of many South Asian and East Asian languages. As no two handwritten characters are identical, hence recognition of Urdu character is a difficult task. Due to the unavailability of any public dataset for this language, there is need to collect and pre-process Urdu numerals images and create novel dataset. In addition, the scarcity of data acts as a bo...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Omar Arif [DoC]
Students
AAMNA BHATTI [MSCS-9]

19 .
Traffic Forecasting with Deep Learning:

Traffic congestion costs people valuable time, fuel, and frustration every single day. At the same time, frequent congestions impact governments who need to keep traffic flowing for the movement of goods, reducing pollution in certain areas, and for the safety of those on the road. Congestion is a global problem that impacts all levels of society. Hence, accurate and real-time traffic flow foreca...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2021
Status: Transferred to Non-Thesis
Advisor
Muhammad Muneeb Ullah [DoC]
Committee Members
Muhammad Ali Tahir [DoC] UG EE Admin [admin]
Students
HASSAN NADEEM [MSCS-8]

20 .
Deep Learning for Crop Disease Monitoring and Prediction:

Implement Deep Learning for Crop Disease Monitoring and Prediction. As a case study, Wheat Rust disease is considered. Wheat is the staple crop of Pakistan, however, owing to increasing seasonal variation, it is observed that wheat is majorly affected by Rust disease particularly in rain fed areas. Rust is considered the most harmful fungal disease for wheat which can cause a decrease in the prod...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Omar Arif [DoC]
Students
IHSAN UL HAQ [MSEE-11]

21 .
Sentiment Analysis of User Comments on Pakistani News Videos:

YouTube is the biggest platform for general public to view videos related to any subject. Millions of people use YouTube to watch videos for different purposes like education, knowledge gathering, entertainment etc. They share their views about the video by liking/disliking the video and by writing comments in the comment section. These comments can be used to get an overview about people’s opini...


Project Level: PG
Project Type: Thesis Knowledge Area: Information Management
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Committee Members
Anis Ur Rahman [DoC] Rafia Mumtaz [DoC]
Students
MEHWISH RANI [MSCS-9]

22 .
Comparison of deep learning techniques for Sindhi language speech recognition:

A great hurdle in utilizing the best of what technology has to offer - is the inability for machines to communicate in a regional language like Sindhi. Taking forward the initial research done in Sindhi speech recognition system using Kaldi toolkit, the aim of the thesis is to compare and experiment on various speech recognition models for improved accuracy and results. The results could then ...


Project Level: PG
Project Type: Thesis Knowledge Area: Human-Computer Interaction
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Committee Members
Asad Waqar Malik [DoC] Yasir Faheem [DoC]
Students
MUHAMMAD NAWAZ [MSCS-7]

23 .
A comparison of various acoustic model training methods for Urdu speech recognition:

Taking forward the initial research done in the Urdu ASR using Kaldi toolkit, the goal is to improve the results achieved previously. For that, the focus would be put on enriching the dataset by collection of more data, and noise augmentation of data for robust training of acoustic model. Moreover, a study of training and comparing various acoustic models to develop the best performing model for ...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2020
Status: Transferred to Non-Thesis
Advisor
Rabia Irfan [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Rafia Mumtaz [DoC]
Students
ZUMAIR ALI ZAFAR [MSCS-8]

24 .
Document Retrieval Using Unsupervised Text Classification with Word Embeddings:

Text classification is the process of categorizing a text phrase or text document with appropriate label. The categories are determined by the data set and may encompass any topic. Text classifiers may therefore be used to categorize, arrange the structure, and classify the texts and documents. The most common method, supervised learning, is used for classifying texts. In recent years, particular...


Project Level: PG
Project Type: Thesis Knowledge Area: Information Management
Year: 2020
Status: Completed
Advisor
Rabia Irfan [DoC]
Committee Members
Seemab Latif [DoC] Safdar Abbas Khan [DoC] Tahira Lashari [DoC]
Students
ZAHRA SIRAJ [MSIT-19]

25 .
Attention based bidirectional GRU hybrid model for inappropriate content detection in Urdu language:

Broadcast media is monitored by the organizations who wish to keep track of the items being aired such as Pakistan Electronic Media Regulatory Authority (PEMRA). Of late, the broadcasting content is increasingly available online in the form of text and videos as well. Timely identification of unsuitable or banned content broadcasts can speed up the process of taking legal action for the violation...


Project Level: PG
Project Type: Thesis Knowledge Area: Information Management
Year: 2020
Status: Completed
Advisor
Rabia Irfan [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Faisal Shafait [DoC] Muneer Ahmad [DoC]
Students
EZZAH SHOUKAT [MSIT-19]

26 .
Neural Networks based Dialogue System for Customer Support:

As the domain of artificial intelligence is emerging, the focus of researchers is moving towards bot like systems which tend to intelligently learn human responses and imitate likewise. In conversational AI, dialogue based systems are making substantial difference in customer support domain. As the trend of e-commerce has substantially increased over years, customers find it feasible to use the p...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Rabia Irfan [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Muhammad Khuram Shahzad [DoC] Muhammad Imran Malik [DoC]
Students
AMNA NOOR [MSIT-19]

27 .
Localisation of Abnormalities in EEG signal:

Automatic analysis of EEGs provides a clinical decision support tool that can reduce time to diagnosis and assist clinicians in real-time monitoring applications. In this study, a high-performance automated EEG analysis system based on principles of deep learning is proposed.


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Faisal Shafait [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Adnan Ul-Hasan [ECM] Muhammad Shahzad [DoC]
Students
TAYYABA FAISAL [MSCS-8]

28 .
Segmentation of Satellite Imagery using Deep Learning:

This thesis aims at designing a deep learning based algorithm for segmentation of water reservoirs from satellite imagery and performing various analytics tasks on the segmented data.The solution will assist Pakistan water management authorities in estimating the scarcity of water.


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Muhammad Imran Malik [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Arsalan Ahmad [DoC] Muhammad Shahzad [DoC]
Students
KHOLA NASEEM [MSCS-8]

29 .
Automated Signature Analysis & Verification:

Handwritten signature analysis is an active area of research where the current project would aim at solving the problem of extraction and verification of signatures from multifarious document images.


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Muhammad Imran Malik [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Faisal Shafait [DoC] Muhammad Shahzad [DoC]
Students
NOOR UL AIN IBRAHIM [MSIT-19]

30 .
Vision-Based Interactive Educational Kit for Kids:

Technology is increasingly being used to deliver quality education and training in various forms, such as massive online courses, learning management systems, virtual learning environments, and m-learning, etc. In this project, we aim to integrate technology with pedagogy in a learning kit to induce effective learning experiences for kids up to age 5 years. For instance, kids will be able to lea...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Muhammad Muneeb Ullah [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Maajid Maqbool [DoC] Umer Nasim [DoC]
Students
MUHAMMAD MAZHAR [MSITL-6]

31 .
Automated Anonymization of Court Room Records:

Thousands of cases are registered every year in High Courts and the Supreme Court of Pakistan and the judgments of these cases are available on their respective websites in the form of PDF documents. Since these documents are easily accessible containing personal information of the parties involved such as petitioner and respondent names, addresses and in some cases their CNIC numbers, anyone can...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Faisal Shafait [DoC]
Committee Members
Adnan Ul-Hasan [ECM] Seemab Latif [DoC] Rabia Irfan [DoC]
Students
MARIUM DAUD [MSCS-8]

32 .
Videos content summary generation using NLP:

Results of search engines are retrieved after analyzing content present on Web page in the form of text. However, videos are only considered based on their titles and description give. However, using NLP and speech recognition techniques, it can be identified what content is being covered in the video to improve relevance of search results.

This thesis will look into generating videos content ...


Project Level: PG
Project Type: Thesis Knowledge Area: Information Management
Year: 2019
Status: Transferred to Non-Thesis
Advisor
Asad Ali Shah [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Sharifullah Khan TI [DoC] Seemab Latif [DoC]
Students
HAMZA KHAN [MSIT-19]

33 .
Document level Sentiment Analysis of Urdu Text Using Deep Learning Techniques:

Sentiment analysis is a growing research field in text mining domain. It tends to characterize subjective information i.e. opinions, emotions etc. Nowadays, the customer support department plays key role in industrial and multi-corporate sector as the customer feedback help them to make their services and products better. Customers make calls in customer support department to give feedback on cal...


Project Level: PG
Project Type: Thesis Knowledge Area: Human-Computer Interaction
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Committee Members
Safdar Abbas Khan [DoC] Seemab Latif [DoC] Hasan Ali Khattak [DoC]
Students
AMMARAH IRUM [MSIT-19]

34 .
Intelligent Dialogue based Navigation for Vehicles:

Navigation dialogues are performed when a user is driving, on the go, or in other environments where having a hands-free interface provides crucial advantages. An adept intelligent navigation system should be able to do more than merely search for the locations on a map. It can also act as a complete assistant to the driver. If the driver speaks out the point of interest or ask for the suggestion...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Committee Members
Seemab Latif [DoC] Qaiser Riaz [DoC] Muhammad Muneeb Ullah [DoC]
Students
JAVERIA HASSAN [MSCS-7]

35 .
Pakistan Stock Market Prediction using Social Media Sentiment Analysis:

Pakistan Stock Price Prediction Using social media Sentiment Analysis is a method for predicting stock prices is developed using social media data. A company’s stock prices change, rises and falls are correlated with the public opinions being expressed in social media about that company. Understanding writer’s opinion from a piece of text is the objective of sentiment analysis. Positive news and ...


Project Level: PG
Project Type: Thesis Knowledge Area: Information Management
Year: 2019
Status: Completed
Advisor
Fahad Javed [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Asad Ali Shah [DoC] Seemab Latif [DoC]
Students
FARIHA IQBAL [MSIT-19]

36 .
Deep Learning for Forensic Examination of Handwritten Text:

Forensic Handwriting Examiners (FHEs) often have the scenarios where they are provided with a piece of text handwritten by an author in a different style than those texts which are present in the dataset and were written by the same author. This is a usual situation when the same person, for example, writes threat letters to more than one persons and tries to change her/his handwriting style ever...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2019
Status: Withdraw
Advisor
Muhammad Imran Malik [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Muhammad Shahzad [DoC] Faisal Shafait [DoC]
Students
MUHAMMAD MOHSIN [MSCS-8]

37 .
Improved Skin Lesion Cancer Classification using dermoscopic images.:

Detection and classification of skin cancer using image processing and deep learning has recently gained interest from society as it aimed to provide economical and timely diagnosis of skin cancer. Timely diagnosis is important as it increase the chances of better preservation.
Major issue in development of automated and economical classification tool is labeled training data, recently people ar...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2019
Status: Active
Advisor
Hassan Aqeel Khan [EE]
Committee Members
Muhammad Ali Tahir [DoC] Muhammad Imran Abeel [EE] Wajahat Hussain [EE]
Students
SHEHZAD RASHEED [MSEE-8]

38 .
Converting Tense of a Sentence using NMT Technique:

Machine translation techniques have proven to be very useful when it comes to translate any source language into any target language. Over the past few years, statistical phrase based machine translation (PBMT) techniques have been in use but now they have started to displaced by neural machine translation (NMT) technique. The aim of this study is to use NMT to convert tense of a sentence i.e. Pr...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Seemab Latif [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Asad Ali Shah [DoC] Haleemah Zia [DoC]
Students
RIDA FATIMA [MSCS-7]

39 .
Heart Sound Segmentation Using Recurrent Neural Networks:

The segmentation of heart sounds plays a major role in the automatic classification and analysis of a Phonocardiogram (PCG). Segmentation is the processes by which a heart cycle of PCG is segmented into its four sounds (S1, Systole, S2 and Diastole). In this project we aim to build a framework for classification and segmentation of PCG sounds. Objective was to employ neural network based approach...


Project Level: PG
Project Type: Thesis Knowledge Area: DSSP
Year: 2018
Status: Completed
Advisor
Hassan Aqeel [EE]
Committee Members
Muhammad Ali Tahir [DoC] Muhammad Imran Abeel [EE] Wajahat Hussain [EE]
Students
MUHAMMAD NAEEM MUMTAZ AWAN [MSEE-8]

40 .
Smart Surveillance through Periocular Biometrics:

Face recognition has paved its way to success in the recent years and has been intelligently merged with modern technologies. Nowadays, face recognition techniques are extensively used by law enforcement agencies worldwide. In our country, there is a significant need of a system which forms an integrated unit for security surveillance by identifying and recognizing persons through their facial ch...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2018
Status: Completed
Advisor
Muhammad Imran Malik [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Muhammad Shahzad [DoC] Faisal Shafait [DoC]
Students
MUHAMMAD EHSAN IRSHAD [MSCS-6]

41 .
Natural Language Modeling for Sentence Generation Through Deep Learning:

Language, in general is extremely sequential. It is also subjective and ambiguous because sometimes same word can mean something different depending on the context what's being said. Natural Language Processing is all about trying to interpret how humans communicate with each other and how to get a system to replicate that behavior so that we can interact with systems in more natural manner.
One...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2018
Status: Completed
Advisor
Seemab Latif [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Fahad Javed [DoC] Ahmad Salman [EE]
Students
SARMAD BASHIR [MSIT-17]

42 .
Urdu Text to Speech System for Navigation App:

Due to increase in taxi hailing service (Uber & Careem), a demand for Urdu text to speech system was increasing. This system would be used in a Pakistani navigation app which would facilitate the drivers(captains) in finding a way without keeping an eye on the mobile. The goal is to provide Pakistani people the language in which they are most comfortable i.e. Urdu. In Pakistan, most of the driver...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Committee Members
Qaiser Riaz [DoC] Faisal Shafait [DoC] Safdar Abbas Khan [DoC]
Students
Muhammad Asfand [MSCS-5]

43 .
Urdu Speech Recognition for Navigation Applications:

Adding speech recognition to a map-based navigation system would greatly increase its user friendliness. A user can say "main nay street 21 saddar rawalpindi jaana hai" and the system calculates the path and displays it on the map


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Committee Members
Asad Waqar Malik [DoC] Hassan Aqeel [EE] Safdar Abbas Khan [DoC]
Students
Syed Meesam Naqvi [MSCS-5]

44 .
Automatic classification of Atrial Fibrillation from single-lead ECG signals.:

Automated differentiation between Normal rhythm and Atrial fibrillation using single-lead ECG signals is a challenging problem under noisy conditions and motion artifacts. This project will design signal processing and machine learning algorithms for automated classification of Normal Rhythm, AF and other sinus rhythms based on single-lead ECG signals.


Project Level: PG
Project Type: Thesis Knowledge Area: DSSP
Year: 2018
Status: Completed
Advisor
Hassan Aqeel [EE]
Committee Members
Muhammad Ali Tahir [DoC] Muhammad Imran Abeel [EE] Wajahat Hussain [EE]
Students
MUHAMMAD UZAIR ZAHID [MSEE-8]

45 .
Inertial based terrain classification:

Ground surface or terrain classification is an active area of research in robotics and autonomous off-road vehicle driving. However, this problem has barely been studied with the inertial data of human gait. In this thesis, we propose a novel method of estimation terrain has been performed on which a person has walk. For this purpose we have recorded the gait patterns with inertial sensors of nor...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2018
Status: Completed
Advisor
Qaiser Riaz [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Safdar Abbas Khan [DoC] Muhammad Shahzad [DoC]
Students
MUHAMMAD ZEESHAN-UL-HASNAIN HASHMI [MSCS-6]

46 .
Discriminative splitting of LSTM-RNN deep neural networks for robust speech recognition:

LSTM-RNN are state of the art for acoustic model training. However, training such parameters is susceptible to over-training phenomenon, which reduces the accuracy of the system. To solve this problem, discriminative splitting of parameters can be used, previously applied by the author on feed-forward deep neural networks. Now we will investigate the use of this technique on LSTM-RNN


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Committee Members
Hassan Aqeel [EE] Faisal Shafait [DoC] Ahmad Salman [EE]
Students
Muhammad Irfan [MSCS-5]

47 .
Speech recognition of hearing Impaired children:

In this world of digital technologies, such as artificial intelligence and voice-driven applications, Automatic Speech Recognition (ASR) is becoming essential to our daily life activities specially for disabled people. Now a days, people who are hearing impaired use lipreading visual cues for speech therapy. For our research work, data was acquired from speech therapy sessions of hearing- impaire...


Project Level: PG
Project Type: Thesis Knowledge Area: Information Management
Year: 2017
Status: Completed
Advisor
Sharifullah Khan [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Azeem Abbas [ECM] Sana Khalique [DoC]
Students
SIDRA AZHAR [MSIT-17]

48 .
Automatic detection and localization of robbery events in CCTV videos:

Every now and then, we hear news about a successful robbery attempt in a bank, often with CCTV footage of the whole event that is recovered afterwards. This open problem offers a huge opportunity for technological intervention. Therefore, the idea is to come up with an AI method which automatically detects any robbery attempt from the installed CCTV cameras, and responds appropriately to foil the...


Project Level: PG
Project Type: Thesis Knowledge Area: Intelligent Systems
Year: 2016
Status: Completed
Advisor
Muhammad Muneeb ULLAH [DoC]
Committee Members
Muhammad Ali Tahir [DoC] Anis ur Rahman [DoC] Omar Arif [DoC]
Students
Zakia Yahya [MSEE-7]

1 .
NUST Ride-Share:

Objective: To provide a convenient and cost-effective ride-sharing solution for students at NUST University, reducing traffic congestion, and promoting sustainable transportation.

Description: The NUST Ride-Share app will enable students to create a profile and connect with fellow students traveling to or from the same destination. The app will suggest potential matches and allow students to c...


Project Level: UG
Project Type: FYP
KnowledgeArea: Platform-based Development
Year: 2023
Status: Active
Advisor
Zunera Zahid [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Shazal Hafeez [BSCS-10] Hassan Haroon [BSCS-10] Abdul Muqsit Hakmi [BSCS-10]


2 .
FlexiLearn :


The proposed system acknowledges the limitations of traditional schooling systems and aims to address them by providing customized education tailored to the individual needs and abilities of each student. By collecting information and demographics about the child, such as their interests, learning style, and academic strengths and weaknesses, the platform will generate personalized curriculum r...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2023
Status: Active
Advisor
Zunera Zahid [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Jamshaid Khalid [BSCS-10] Muhammad Ahmad Fraz [BSCS-10] Muhammad Abdullah Anwar [BSCS-10]


3 .
IntelliShop:

The proposed project is an AI-powered shopping app that will use machine
learning and image recognition technologies to offer personalized
recommendations and an enhanced shopping experience for users. The app will include an admin dashboard that will
allow the admin to analyze sales data, providing insights into which items are
liked and disliked more by the user, and which should be stocked...


Project Level: UG
Project Type: FYP
KnowledgeArea: Platform-based Development
Year: 2023
Status: Active
Advisor
Zunera Zahid [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Shafi-Ul-Hussnain [BSCS-10] Azka Younus [BSCS-10]


4 .
Automated conversational chatbot trainer :

Chatbot based automated trainer that would converses with the user to train them specific skill.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2022
Status: Completed
Advisor
Zunera Zahid [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Atoofa Akhtar [BSCS-9] Eman Kashif [BSCS-9]


5 .
Fruit Freshness Detection application:

The goal is to build a fruit freshness detection application for an efficient warehouse management solution. That is, when farmers bring their wares to the cold storage site, the worker at the subject warehouse site takes a picture of the produce using an app installed on their mobile phone. This image is analysed using a cloud-based machine learning software to determine the freshness state of t...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2022
Status: Completed
Advisor
Zunera Zahid [DoC]
Co-Advisor
Seema Jehan [DoC] Muhammad Ali Tahir [DoC] Adnan Rashid [DoC]
Students
Abdul Samad [BSCS-9] Bassam Muhammad [BSCS-9] Muhammad Sami Tariq [BSCS-9]


6 .
Object detection in Foggy weather using LiDAR:

Fog appears in the winter season in most parts of the country. Its density varies across various cities depending on the land characteristics. It is observed that typically Punjab region is highly affected by fog during winter seasons. Due to dense fog, traveling routes such as motorways remain closed and several business activities are affected due to limited transportation. If motorways are ope...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2022
Status: Active
Advisor
Rafia Mumtaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC] Muhammad Daud Abdullah Asif [DoC]
Students


7 .
Automated Voice Dubbing System:

Video Dubbing has become an essential part of our culture now. However, it requires a lot of time, effort, and skill to dub a video in your native language. Automated Voice Dubbing System is a platform to translate videos in the English language to our native language i.e., Urdu. And this process will be carried out through a web application. The subtitles of an English video are extracted, trans...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Zainab-Binte-Iftikhar [BESE-9] Amna Abid [BESE-9]


8 .
Humanoid Character Animation using GANs:

The process of humanoid character animation for video games and animated movies is a time consuming and costly process. Usually this is done using motion capture which requires expensive equipment and/or keyframe animation which requires meticulously setting keyframes to ensure the animation looks natural. We propose an alternative workflow for this task which would automate the keyframe generati...


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2021
Status: Completed
Advisor
Muhammad Moazam Fraz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Aftab Akhtar [BSCS-8] Usama Ahmed Siddiquie [BSCS-8] Muhammad Abdullah Khan [BSCS-8]


9 .
Rapid à la Mode Craze Scrutinizer (Trends Analyzer):

In today’s world, those who get a hold of trends and latest developments are the quickest are the winners. Facebook, YouTube, and other social media websites are hotspots for finding out what everyone's talking about. The idea is to create a tool which will mine these websites and get a hold of key developments taking place. Finding the right information quickly is crucial for understanding the l...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2021
Status: Completed
Advisor
Farzana Jabeen [DoC]
Co-Advisor
Muhammad Shahzad [DoC]
Students
Muhammad Uzair [BESE-9] Saud Kamran [BESE-9]


10 .
Gym Booking Application:

Gym booking application can provide users the gym near them. Users can find the gym near his location. They can see multiple gyms near them. After that they can check the facilities in the gym. They can check the packages that gyms provided. They can check reviews of customers. They can check the pictures of gym. After their inspection they can buy the package that suit themselves and pay online....


Project Level: UG
Project Type: FYP
KnowledgeArea: Software Engineering
Year: 2021
Status: Completed
Advisor
Zunera Zahid [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC] Farzana Jabeen [DoC]
Students
Muhammad Abdullah [BSCS-8] Mehboob Alam [BSCS-8] Zeeshan Azhar [BSCS-8]


11 .
Real time anomaly detection for security:

Nowadays, there has been a rise in the amount of disruptive and offensive activities that have been happening. Due to this, security has been given principal significance. Public places like shopping centres, avenues, banks, etc are increasingly being equipped with CCTVs to guarantee the security of individuals. Since constant observation of these surveillance cameras by humans is a near-impossi...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Hasan Ali Khattak [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Muhammad Ahrar Ahmed [BESE-9] Abdul-Basit Chishti [BESE-9] Atisam Ul Haq Ijaz [BESE-9]


12 .
Virtual Shirt Try-On:

Augmented reality is on the rise today making its way into all of life from health care and education to entertainment. The provision of more data and recent advancements in Computer Vision and Deep Learning algorithms has made it even more easier to develop cutting edge technologies. With Loreal Paris and Nike already releasing their technology for facial makeup and shoes try-on respectively, we...


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2021
Status: Completed
Advisor
Zuhair Zafar [DoC]
Co-Advisor
Maajid Maqbool [DoC]
Students
Hassan Khalid Butt [BESE-9] Hissaan Ali Shah [BESE-9] Hassan Javaid [BESE-9]


13 .
An Augmented Reality Project for Interior Designing:

This project focuses on designing an app that would help people and professional interior
designers to design their rooms, offices, outdoor areas or any other type of space with the help of augmented reality. What the app will do is move a particular object from its place, and a user can place it elsewhere or can even place new objects that the app would provide. The app will provide a wide rang...


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2021
Status: Completed
Advisor
Zuhair Zafar [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Muhammad Asim Khan [BSCS-8] Hassan Munir Ahmad [BSCS-8] Muhammad Ali [BSCS-8]


14 .
Structured Information Extraction from Text Documents:

The project is based on information extraction. Information extraction is the process of extracting the structured information from the unstructured textual data. In information extraction system we can build a system that extract data in tabular form, from unstructured text. For example, given a receipt, information extraction task would be to identify a Date, Name, Amount, Company Name etc. And...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2021
Status: Completed
Advisor
Mehvish Rashid [DoC]
Co-Advisor
Zuhair Zafar [DoC] Taufique ur Rahman [DoC]
Students
Abdul Rafey [BESE-9] Laraib Arjamand [BESE-9] Hammad Ahmed [BESE-9]


15 .
Real-time audio to sign language animation:

In today's fast paced world, staying connected and up to date with others through multimedia has become an utmost necessity.However. news, seminars, tv shows and the radio still communicate through spoken languages.For the deaf community of Pakistan, it is a major challenge to keep up with the hearing world.
Hence, this project aims to convert real-audio and video inputs to sign language animati...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2021
Status: Completed
Advisor
Khawar Khurshid [EE]
Co-Advisor
Maajid Maqbool [DoC]
Students
Maira Tariq [BSCS-8] Um E Hani [BSCS-8] Maha Shahwar Rana [BSCS-8]


16 .
Vent Out:

In this world, there have been people who don’t always express their feelings even if
they are emotionally repressed, and this situation has become worse ever since the
pandemic began. You may have noticed a divide among your friends which might have
caused you to be alone with your thoughts and emotions. In recent years,
communication with computers has become increasingly 'chatty' like for ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Hasan Ali Khattak [DoC]
Co-Advisor
Muhammad Moazam Fraz [DoC]
Students
Ayesha Muqeem [BSCS-8] Alina Tabish [BSCS-8] Laiba Basit [BSCS-8]


17 .
SOP Violation Detection in Fenceless areas through Live Videos:

In the current wake of a global pandemic and community spread of the virus, government officials and administrators have found restricting population movement and social interaction, a mammoth task. The high-priced schemes and lockdown containment measures are still questioning the authorities regarding the relentless and ill-informed actions of the public such as the omission of social distancin...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Hasan Ali Khattak [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC] Rafia Mumtaz [DoC]
Students
Mariam Ali [BESE-9] Ayesha Siddiqua [BESE-9]


18 .
U-Assistant - Urdu speech based virtual assistant for mobile phones:

We plan to make a Google Assistant/Siri-like voice-based assistant application that understands Urdu. The target audience will be Pakistani common users who may not be well-versed with technology and the English language. Our application will provide video/image tutorials to help the users to understand the usage of our application. Our assistant will assist the users to perform common tasks on t...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Taufique ur Rahman [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Abdul Rafay Ahmad [BESE-9] Muhammad Hamza Amir [BESE-9]


19 .
Online marketplace for Vehicles with Data Analytics:

Cars marketplace + data analytics is an online marketplace for selling and purchasing cars that shall use advanced data analytics tools and techniques to make the user experience better. Our project shall also use advanced Machine Learning techniques to predict the price of automobiles based on certain features.
Our project will consist of two parts. A marketplace where sellers will be allowed t...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2021
Status: Completed
Advisor
Mehvish Rashid [DoC]
Co-Advisor
Maajid Maqbool [DoC]
Students
Muhammad Ahmad Bilal [BESE-9] Usama Ejaz [BESE-9] Ali Hasnat Khan [BESE-9]


20 .
Predictive analytics in the Real Estate Sector:

All the real estate portals available in Pakistan don’t provide the users with any kind of predictive analytics to make their investment decisions. Another problem is that the data on most of the websites is not up to date and also local agents due to personal gains or any other reasons don't provide enough information. So what we want to do, is to help the real estate investor in making effectiv...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2021
Status: Active
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Shahzad Younis [EE]
Students


21 .
Real-Time Facial Recognition and Motion Detection:

Facial recognition is one of the fastest growing AI technologies with vast applications in the field of security, marketing, and even medicine. This project focuses on the security-related aspects of facial recognition to create a robust solution for monitoring and surveillance aimed at organizations. It relies on computer vision and deep learning to detect and identify suspicious personnel using...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2021
Status: Completed
Advisor
Mehvish Rashid [DoC]
Co-Advisor
Omer Aziz Madni [ECM]
Students
Abdul Hannan [BESE-9] Fahad Imran [BESE-9] Faizan Riasat [BESE-9]


22 .
Under-Frequency Load Shedding Philosophy - UFLS:

An airborne wind turbine is a kite like device tethered to a generator for generating electricity. Winds at high altitudes are many times stronger and more consistent, as compared to near ground. Such systems can help solve our country's energy crisis. For more details about the design please contact


Project Level: UG
Project Type: FYP
KnowledgeArea: Power
Year: 2021
Status: Completed
Advisor
Ahmed Rasheed [EE]
Co-Advisor
Mansoor Asif [EE]
Students
Sarah Rauf [BEEE-10] Makhdoom Tayyab Altaf [BEEE-10] Malik Aqib Zahoor Awan [BEEE-10]


23 .
Pedant - an audiovisual autocorrector:

Pedant is a web application providing its services to regain control over the user's audio and video gestures. It is done with deepfake and text-to-speech technologies. Whether its minding the pronunciation or adding dialogues one forgot, pedant has got it all covered.


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2021
Status: Completed
Advisor
Zuhair Zafar [DoC]
Co-Advisor
Muhammad Imran Malik [DoC]
Students
Saif Ullah Bin Khaki [BSCS-8] Aiman Tahir [BSCS-8] Ahmad Amin [BSCS-8]


24 .
Doodle World - A fun way to socialize through AR doodles:

Doodle world is a mobile app that allows its users to draw doodles in Augmented Reality. The app will feature a friend list and doodles once drawn to a particular area will be visible to all other friends of the user. The app will also allow users to send doodles as messages pinned to an area to its friends for surprising communications. The app will also feature a public mode, that can be used f...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2021
Status: Completed
Advisor
Farzana Jabeen [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Hamiz Ali [BSCS-8] Saad Ashraf [BSCS-8] Nauman Ali [BSCS-8]


25 .
Tagging multimedia events for Content Advertisement:

Idea of the project is to tag the keywords with audio/video streaming/stored content and user be sent the alerts when the given keywords are mentioned in the program/content. This App could be used for targeted advertisement of products/places/packages etc.


Project Level: UG
Project Type: FYP
KnowledgeArea: Architecture and Organization
Year: 2021
Status: Completed
Advisor
Muhammad Shahzad Younis [EE]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Musharraf Qadir [BEEE-10] Sarmad [BESE-9] Umar Faisal Khan [BSCS-7]


26 .
Generate insightful text and audio summary from documents:

Often we have to read large documents and understand their content but we do not have sufficient time to read all of it. There are different tools available to create summaries from documents but most of them create content that loses the meaning of the original text. We aim to develop a system that could use AI to generate an efficient, concise summary from texts of various kinds and also conver...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2021
Status: Completed
Advisor
Seemab Latif [DoC]
Co-Advisor
Zunera Zahid [DoC]
Students
Alina Ahmed Qureshi [BSCS-8] Zainab Noor Ahmad [BSCS-8] Abeesha Atiq [BSCS-8]


27 .
FHIR enabled Healthcare Information Management System:

A Web/App-based platform where people can share their health information in a secure yet standardize way.


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2021
Status: Completed
Advisor
Hasan Ali Khattak [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Ali Hamza [BSCS-8] Muhammad Hussain Murtaza [BSCS-8] Masood Tariq [BSCS-8]


28 .
Deep Learning for Self-Driving Cars for Collision Avoidance and Lane Finding:

Self-driving cars are one of the hottest areas of research and business for tech giants. The idea of autonomous cars originates by witnessing accidents due to careless driving of people which could become extremely harmful. They also impose serious challenges, not only on technological but social and ethical grounds as the global average of road car fatalities increases to 18.2 deaths per 100,000...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Muneer Ahmad [DoC]
Co-Advisor
Rabnawaz . [ECM]
Students
Awais Qamar [BESE-9] Ali Asad [BESE-9] Faiz-Ul-Hassan [BESE-9]


29 .
Annotation Tool for Biomedical Images:

A common problem in the development of machine learning models is the high time and human cost of preparing accurate datasets to be fed into the models. There is a lot of human intervention as well as rote, repetitive and time-consuming tasks that need to be done. These tasks can range from general labelling to domain-specific tasks. In addition to requiring a tool that does this work, we also ne...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2021
Status: Completed
Advisor
Hasan Ali Khattak [DoC]
Co-Advisor
Shams Qazi [DoC]
Students
Fatimah Zulfiqar [BSCS-8] Muhammad Shaafay Saqib [BSCS-8]


30 .
Goal Quest:

People often struggle when it comes to finding a path or a roadmap that can help them in achieving their goals. Most of the time they don't precisely know what they can do to achieve their objectives. Primarily, this is because there is no proper counseling system to help them. It would be helpful if there was a system or a person that could provide students and young people with a path to reach ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Platform-based Development
Year: 2021
Status: Completed
Advisor
Arsalan Ahmad [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Muhammad Nafees Tariq [BESE-9] Malik Muhammad Idrees [BESE-9] Bilal Waheed [BESE-9]


31 .
Horror Game:

It is a horror game with FPS shooting type controls. This game is specifically for pc. The game can be made in Unity Engine. The player will have to get out of the hotel by solving riddles and surviving from the hotel creatures by killing them or by hiding himself. There will be different quests for progressing the game. The main mission for this game is to enhance the player analyzing abilities ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2021
Status: Completed
Advisor
Mehdi Hussain [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC] Maajid Maqbool [DoC]
Students
Ramish Amir [BESE-9] Zaid Wajid [BESE-9] Natiq Ali Syed [BESE-9]


32 .
Deep Visual-Semantic Alignments for Generating Image Descriptions:

This project aims at presenting a model that generates natural language descriptions of images and their regions and will learn about inter-modal correspondences between language and visual data. Such model would have multifarious applications ranging from editing and virtual assistants to social media applications.


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Muhammad Imran Malik [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Roshan Kaleem [BSCS-8] Muhammad Umer [BSCS-8] Sheraz Ahmed [BSCS-8]


33 .
MusiSwap:

In 2020, artists only received 12% of $17 billion profit generated by the Music Industry. In the USA, only 3 major labels hold two-third of recording rights and 58% of publishing rights which gives them monopoly over the centralised streaming platforms to prioritise a handful of pop-hits. Furthermore, in the past year , the market share of independent artists increased by 5.1% . Musicians are tur...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Muhammad Imran Malik [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Abdul Basit [BSCS-8] Huzefa [BSCS-8]


34 .
Crypto Trading Market Predictor:

The goal is to implement an AI software that would study the candlestick graphs and patterns of the crypto trading market and predict the next calls for the user according to their preferences. It will assess the risk factor and the loss ratio and make the entry point calls and can either completely take over the trading or offer advice to the users when to invest or when to sell or when to make ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Software Development Fundamentals
Year: 2021
Status: Completed
Advisor
Muhammad Imran Malik [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC] Maajid Maqbool [DoC]
Students
Hamza Iqbal [BSCS-8] Taha Jamshaid [BSCS-8] Abdullah Khurram [BSCS-8]


35 .
Application for Speech Synthesis from American Sign Language:

There are 72 million people all over the globe who are vocally impaired and use sign language as their primary means of communication. As the majority of the general population doesn’t understand the Sign language this creates a communication barrier between the vocally impaired community and the general populace. Our project aims at bridging this gap by developing an application that uses comput...


Project Level: UG
Project Type: FYP
KnowledgeArea: Software Engineering
Year: 2021
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC] Qaiser Riaz [DoC]
Students
Ahtasham Ahmed [BSCS-8] Zaeem Ahmed [BSCS-8] Farhaan Mukarram [BSCS-8]


36 .
Product description synthesis using keyword:

Keyword ranking is one if the most important factor in ranking any product online on any platforms like Google, Amazon etc. High relevancy and high Search-Volume keywords help rank a product on the first page. The idea is to create a tool using machine learning (possibly NLP) that will generate new or optimize existing descriptions against the required parameters. The data to evaluate these produ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Seemab Latif [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Jahan Zaib Zafar [BSCS-8] Amaaz Arshad [BSCS-8] Wajih Iqbal [BSCS-8]


37 .
StockSight - Real time stock market analysis for price and risk rate prediction in quantitative finance:

Stock market prediction is the act of attempting to forecast the future value of a company stock or other financial instrument traded on an exchange. This project will assist us in predicting closing market prices based on historical stock price patterns. We'll train our software using dataset which includes the open, high, low, close and volume of trades for each day to make informed predictions...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2021
Status: Completed
Advisor
Seemab Latif [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Noor Ul Ain [BSCS-8] Huda Asif [BSCS-8] Mirza Shahzaib Baig [BSCS-8]


38 .
Hotel Booking Website for Tourism:

There is a lack of availability of hotels on hotel booking websites in Pakistan, which does not fully advertise the numerous, economical hotels and inns to tourists and travellers. Our website will help travellers to browse through multiple hotels and inns in various cities across Pakistan, and find an economical place to stay. The website will provide a user-friendly interface to both users and ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2021
Status: Completed
Advisor
Taufique ur Rahman [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Muhammad Shahzil [BESE-9] Syeda Amna Jah Bukhari [BESE-9]


39 .
Analysis of reforestation potential in Pakistan using Machine Learning and Satellite images:

The main idea behind this project is to identify under forested areas (due to various natural or human causes) in Pakistan and measure their reforestation potential. While forests play an important role in mitigating the effects of climate change, the process of reforestation is expensive, difficult to plan and even harder to execute and maintain. Therefore, it is important to understand the effi...


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2021
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Muhammad Deedahwar Mazhar Qureshi [BESE-9] Amna Faisal [BESE-9]


40 .
Chatbot based emergency hotline:

Chatbot applications are the latest inventions of digital design. These applications are well known for automatic conversational agents that run on computer programming or a kind of artificial intelligence (AI) interaction between the users and machines with the intervention of Natural Language Processing (NLP). In this project we aim to develop a Voice Based Telephonic Chatbot that responds to e...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Seemab Latif [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Maryam Zafar [BESE-9] Bushra Muqaddas [BESE-9]


41 .
Geo-locating Twitter Users Using Tweet Content:

In recent times, it has become a concern of researchers, companies and governments alike to triangulate the location of a particular type of person within a certain specified region. In the modern world, it is often faster to check social media for news about certain events. An example would be load shedding within a city or reports of cases of a virus. We propose a system that:

(i) locates T...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2021
Status: Completed
Advisor
Muhammad Moazam Fraz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Hamdan Rashid [BSCS-8] Muhammad Rafay Nadeem [BSCS-8] Muhammad Faraz Khan [BSCS-8]


42 .
COVID-19 Contact Tracing App:

The recent outbreak of COVID19 has taken the world by storm, forcing lockdowns and placing a strain on public healthcare systems. With significant amount of asymptomatic carriers the disease has been hard to detect. Testing of population at large scale have proved to be challenging due to limited testing kits and other issues. To tackle this problem government and healthcare workers use contact t...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2021
Status: Completed
Advisor
Farzana Jabeen [DoC]
Co-Advisor
Seema Jehan [DoC]
Students
Fatima Khan [BESE-9]


43 .
Nigehbaan - Child Lost and Found:

The main objective of “Nigehbaan” is to provide a valuable software application for the society. A great cause has been attached with “Nigehbaan” which is to find the lost children in Pakistan. Each year thousands of children are lost in Pakistan and no trace is found because these kids are either unable to give their home details or they are kidnapped. “Nigehbaan” is an idea to recover such chil...


Project Level: UG
Project Type: FYP
KnowledgeArea: Social Issues and Professional Practice
Year: 2021
Status: Completed
Advisor
Mehvish Rashid [DoC]
Co-Advisor
Maajid Maqbool [DoC]
Students
Jalees Mukarram [BESE-9] Hassaan Ali Mehmood [BESE-9] Mamnoon Ul Hussnain [BESE-9]


44 .
Mobile App for emergency services:

An android app for a centralized helpline like 911. The user shall be able to write his/her emergency or enter it through voice. The audiobot will get the necessary information and will inform the concerned department. The user will be shown emergency tips to apply until the help arrives. The app will be user friendly.


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC] Maajid Maqbool [DoC]
Students
Faizan Ahmed [BESE-9] Talia Hamid [BESE-9]


45 .
Analytics based Mess Resource Management:

A dining hall management may charge hostel students regardless of whether the mess is actually being used or not. This causes hostelites to over expend their already limited budget and also wastage of extra amount of food being prepared. For this purpose, the proposed Mess Management System would greatly help the students in terms of managing their budget effectively and efficiently. On top of th...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2021
Status: Completed
Advisor
Arham Muslim [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Danish Khan [BESE-9] Abdullah Sheikh [BESE-9] Bilawal Ahmed [BESE-9]


46 .
CryptoCash (C2): Enabling instant transfers with digital payments and making investments accessible through cryptocurrency:

CryptoCash (C2) is the first truly digital wallet which enables instant transfers
with digital payments and makes investments accessible through cryptocurrency. C2
allows its users to go cashless by scanning QR codes available at partner merchants
and for the first time ever, make payments through cryptocurrencies. Fiat payments are
supported through interoperability between fiat currency PKR...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Seemab Latif [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Eesha Arif [BESE-9] Maaz Bin Tahir Saeed [BESE-9]


47 .
Imecha:

Imecha is an online Instagram hand painted khussa store where customers can design their own khussa. It has 5000+ active followers, and 300+ active customers at the moment, and the orders are taken manually from the social media platform.
We aim to develop an e-commerce website for our start up "imecha", where the customers can design their shoe and place orders. The website will be developed on...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2021
Status: Completed
Advisor
Seemab Latif [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Adeen Jawad Qazi [BESE-9] Ali Tariq [BESE-9] Ayna Shairi [BESE-9]


48 .
A Scalable RISC-V based Multicore Processor :

This projects aims to develop a a Scalable RISC-V based Multicore Processor.


Project Level: UG
Project Type: FYP
KnowledgeArea: DSSP
Year: 2021
Status: Completed
Advisor
Rehan Ahmed [EE]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Abdul Moeed [BEEE-10] Huzaifah Bin Wasim [BEEE-10]


49 .
Privacy Preserved AIIOT powered Remote Digi-health care Platform :

The project will extend existing solutions in the health monitoring platform by taking advantage of AI-IoT & trusted platforms. The resulting internet of medical devices (IoMD) would provide healthcare facilities to a wide populace ranging from teenagers to the elderly. The elderly people can use the platform to monitor aging-related health deterioration & enable emergency medical response. Patie...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Abdullah Hassan Chaudhry [BSCS-8] Hamza Qaisar [BSCS-8] Syed Sajeel Hassan [BSCS-8]


50 .
Crop Disease Scouting using AIIOT Technology:

Co-advisor (Muhammad Ali Tahir)
Rust is considered the most harmful fungal disease for wheat which can cause tremendous damage to the crop. With a continuous rise in population, it is essential to increase the crop yield to combat imminent food security. Towards such an end, we propose an IoT and AI-based solution for rust disease detection and prediction in its early stages. The system will con...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2021
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Hassan Raza Bukhari [BESE-9] Salman Inayat [BESE-9]


51 .
Tarjumaan - Automatic Captioning of Urdu Videos and Drama Serials:

Only 8% Pakistanis are able to speak English as a first language whereas around
49% speak it as a second language. That’s less than our whole population which shows that future technologies need to be centered around our national language which is Urdu. While there are a great number of Urdu videos on YouTube, Netflix and many other platforms, but none of them provide proper captioning in Urdu w...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Seemab Latif [DoC]
Students
Shaheryar Ehsan I Haque [BESE-8] Tehreem Farooqi [BESE-8] Fatima Arshad [BESE-8]


52 .
Automatic Survey of Reforestation Potential using Machine Learning:

This project aims to identify areas in Pakistan that are underforested due to various natural and human causes. Using satellite imagery, terrain and weather data as input to machine learning algorithms, the system aims to determine the potential vs actual vegetation cover. A survey of selected regions in Pakistan (especially semi-arid landscapes) will help automatically identify promising gegraph...


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Shahzad [DoC]
Students
Hamnah Khalid [BESE-8] Taha Abdullah [BESE-8]


53 .
Covid-19 SOP Violation Detection from CCTV Footage:

Dealing with COVID-19 has become the normal for people and businesses alike. It is very hard for the authorities to ensure SOPs are followed. This project aims to facilitate the authorities by using CCTV footage from major gathering areas like markets, stores, schools etc. Using computer vision techniques, it will automatically detect SOP violations in real-time and inform the authorities so that...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Rafia Mumtaz [DoC]
Students
Noor Ul Ayn [BESE-8] Talha Ikram [BESE-8] Abdullah Saeed [BESE-8]


54 .
Stress detection and monitoring system:

Stress and anxiety disorders can inhibit a person's work and quality of life, so timely identification and mitigation of stress can be very useful for general health and well being. We aim to create a system that can monitor stress, particularly of students; whether going through change of environment shock, or due to study overload etc. The research involves investigating different IOT and machi...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Rafia Mumtaz [DoC]
Students
Sarwa Jalees [BEEE-9] Jannat Ayyaz [BEEE-9] Sabayna Ali [BSCS-7]


55 .
Hostel Dining Hall Management System:

A dining hall or mess management may charge hostel students regardless of whether the mess is actually being used or not. This causes hostelites to over expend their already limited budget. For this purpose, Mess Management System would greatly help the students in terms of managing their budget effectively and efficiently. On top of that, the service would yield benefits for the management team ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Arham Muslim [DoC]
Students
Muhammad Junaid Nadeem [BESE-8] Muhammad Ansar Shahzad [BESE-8]


56 .
Building a Social Media Platform for Mental Health Related Community:

Mental Health Problems are one of the most prevalent and important problems the modern world is facing, yet they are also one of the most neglected. There is stigma associated to sharing one’s mental health issues, as well as hurdles in finding friendly help while facing such issues, and also costly treatment. Apart from these problems which are present almost all over the world, the developing n...


Project Level: UG
Project Type: FYP
KnowledgeArea: Social Issues and Professional Practice
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Asad Waqar Malik [DoC]
Students
Zain-Ul-Abideen [BSCS-7]


57 .
Deep learning based Urdu-English hybrid speech recognition system:

In Pakistan it is common for people to use a mix of Urdu and English in their conversation. This can range from English words in Urdu sentences, to full English sentences and vice versa. This code-switching presents a challenge for speech recognition. Using deep learning based acoustic and language modelling techniques, we envisage to solve this problem and increase the accuracy of speech recogni...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Imran Malik [DoC]
Students
Ashar Nasir [BEEE-9] Muhammad Hamza [BEEE-9]


58 .
Voice recognition application to cater panic situations:

In emergency situation, our mobile app would enable different users like children, women or elderly to inform their relatives of a panic situation, or seek medical or law enforcement help. It would use input from different mobile sensors or peripheral devices for determining that the user seeks assistance.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb Ullah [DoC]
Students
Qurat Ul Ain [BSCS-7] Hamza Iftikhar [BSCS-7]


59 .
User Friendly Telephonic Solution for Farmers :

Most of the farmers are illeterate. They don't know how to use an app because apps' user interfaces contain English text. We aim to produce a native language speech based telephonic helpline, which can assist the user.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Mehdi Hussain [DoC]
Students
M Hamza Zahid [BESE-8] Umer Abdul Khaliq [BESE-8] Kashif Khan [BESE-8]


60 .
Hotel Booking Website:

The majority of Pakistani hotels are not available on popular booking websites. Our website will help people who visit other cities for tourism, work or medical treatment to find economical places to stay. It will also provide hotel managers an easy to use interface for adding their own hotel's information.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb Ullah [DoC]
Students
Naveed Shaheryar Gondal [BSCS-7] Sanan Yaqoob [BSCS-7]


61 .
Hire a Labor:

"Hire a labor" web platform helps to find the suitable worker for domestic day to day needs such as washing, cooking, babysitting, house cleaning, gardening and etc. Proposed solution will provide the best quality domestic trusted workers according to the requirement. The trust of the worker's profile will be maintained by the platform based on user satisfaction levels. Further, the proposed plat...


Project Level: UG
Project Type: FYP
KnowledgeArea: Software Development Fundamentals
Year: 2020
Status: Completed
Advisor
Mehdi Hussain [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Haseeb Arif [BESE-8] Bilal Hussain [BESE-8]


62 .
Automated Multi-Sensor board for Internet of Things (IoT) and Machine Learning enabled Livestock Monitoring:

The main challenge for veterinarians and animal owners is the establishment of an accurate and timely diagnosis of ill and dying animals to implement intervention strategies to minimize and control of diseases. Despite such worries, technological advancements that make it possible for farmers to manage the health status of animals with fewer resources are a current source of research and developm...


Project Level: UG
Project Type: FYP
KnowledgeArea: Software Engineering
Year: 2020
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Abdul Aziz Chaudhry [BEEE-9] Usman Ahmed Siddiqui [BEEE-9] Syed Hassaan Muzammil [BEEE-9]


63 .
Deep Learning for sleep quality monitoring using physiological signals:

Determining the quality of sleep is an important medical problem. Most current sleep studies are based on polysomnography, which is expensive and potentially disrupts the caregiving routine. The idea is to develop a clinical decision support system to predict sleep quality based on trends of physiological signals in the deep sleep stage using Deep Learning models. This system will utilize four ra...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Muhammad Khuram Shahzad [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Malik Hassan Raza [BSCS-7] Mir Humayun Nisar [BSCS-7] Muhammad Nouman [BSCS-7]


64 .
Rahbar-e-Sukhan: The Digital Poetic Mentor:

This project aims at developing an intelligent application for all major platforms that can analyse Urdu poetry, indicate any mistakes and provide suggestions to novices who have just started learning the technical details of poetry. This would help them focus more on adorning their content without having to worry too much about the notoriously difficult technicalities of prosody. The app should ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Seemab Latif [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Muhammad Rehan Qureshi [BEEE-9]


65 .
Train Scheduling for Pakistan Railways:

The objective is to build a reliable time table for Pakistan Railways that can increase the revenue of passenger trains. This will include a thorough study of different constraints for train operations like origin, destination, route, starting time and stoppages. In addition, these train operation are also dependent upon other factors such as track conditions, sectional speed and occupancy ratio ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2020
Status: Completed
Advisor
Seema Jehan [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC] Mujtaba Hassan Agha [ECM]
Students
Hassan Shahzad [BSCS-7] Mohammed Moiz Ul Haq [BSCS-7] Muhammad Sulayman Khan [BSCS-7]


66 .
Automatic categorization of stars from astronomical data:

With the explosion of data and technology advancements, the amount of data available to astronomers, by ever advancing astronomical instruments, is rapidly expanding. The manual classification of data is time taking and prone to errors and needs to be automated. Stars are the most significant objects in the observable universe and the category of stars is directly related to a whole variety of pr...


Project Level: UG
Project Type: FYP
KnowledgeArea: Computational Science
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Mehdi Hussain [DoC]
Students
Daim Abbas Kazmi [BESE-8] Syed Ayan Haider Naqvi [BSCS-7] Mirza Esaaf Shuja [BESE-8]


67 .
Automatic Urdu telephonic helpline for bus ticket reservation:

Voice is the most natural form of human communication. Adding voice recognition to computer interfaces can greatly increase their usability, especially in developing countries like Pakistan where a large segment of population has limited reading/writing skills. We plan to develop an automated ticket reservation helpline where users can dial-in and speak in Urdu to the virtual operator. The users ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Seemab Latif [DoC]
Students
Mariam Nasim [BESE-8] Sana Jamil [BESE-8] Muhammad Usman Khawar [BESE-8]


68 .
Automatic detection of weapons from videos:

We aspire to create an online system that uses computer vision to automatically detect weapons from videos. In case of weapon detection, the system generates alerts to a central authority. It can also be used to enable better law enforcement by detecting weapons from CCTV video feeds of commercial and public places. Using AI, the system recognizes weapons/arms/knife held by individual or group of...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Mehdi Hussain [DoC]
Students
Muhammad Zaryab Akram [BESE-8] Muhammad Haris [BESE-8] Syed Jawad Ali Shah Bukhari [BESE-8]


69 .
E-Qari Virtual Tajweed Assistant:

Many Muslims feel difficulty in pronouncing the verses correctly during the recitation of Holy Quran. One reason is that Arabic is not a native language for many Muslims. But we have personally observed here in Pakistan that most of the time older Muslims or teenagers feel ashamed to correct their Tajweed from a Qari/Scholar despite knowing that their Tajweed is not correct. This feeling deprives...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Tahira Lashari [DoC]
Students
Sadaqat Ali [BSCS-7] Muhammad Talha Umair Alim [BSCS-7] Muhammad Abdullah [BSCS-7] Abdullah [BSCS-7]


70 .
Development of Deep One Class Classifier:

One Class Classification (where only positive class is available for training the model) is an active area of research in anomaly detection. This FYP focuses on the development of a novel deep learning based model to carry out one class classification in various areas, from anomaly detection to traditional computer vision applications.


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Muhammad Imran Malik [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Tatheer Zahra [BSCS-7] Azhar Tahir [BEEE-9] Maaz Khaleeq [BEEE-9]


71 .
Pakistan Sign Language interpreter:

The purpose of this project is to apply machine learning on Pakistan sign language (PSL); used by deaf to communicate in Pakistan, in order to mitigate communication gap between deaf and other people. Our main focus will be on training model on self-collected dataset from the schools of Pakistan. The Sign Language Interpreter is an essential application for filling the communication gap between h...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Imran Malik [DoC]
Students
Ifrah [BESE-8] Sarwan Ahmed [BESE-8] Abdul Moiz Shaikh [BESE-8]


72 .
CanvasInsight:

The detection of negative emotions through daily activities such as writing and drawing is useful for promoting wellbeing. The spread of human-machine interfaces such as tablets makes the collection of text and drawing samples easier. In this context, we present a first of its kind artificial agent and drawing tool which relates the emotional state, depression to text and drawing with the aim to ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2020
Status: Completed
Advisor
Pakeeza Akram [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Syeda Fizzah Hashmi [BESE-8] Ammara Ghalib [BESE-8]


73 .
Rural healthcare mobile app:

We plan to make a medical assistant and preliminary diagnosis app that understands Urdu. The target audience is Pakistani common user who may not be well-versed with technology and English language. In addition to Urdu speech input/output, our app uses images and videos to give more descriptive information to the user. Our medical app will help rural people avoid long travels just for seeing a do...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb Ullah [DoC]
Students
Afaq Ahmed [BESE-8] Ismail Shah [BESE-8] Ahmad Ali Khan [BESE-8]


74 .
AI based HTML code generation from a Web Design Image:

Our project addresses the problem of converting a web design image template into HTML by reducing the time required to code it from scratch. This project targets a vast audience like web designers, developers and graphics designers. Our AI based solution would generate the code for the provided image template itself, thus reducing the time of web designing by a significant margin; as the web deve...


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Shahzad [DoC]
Students
Anas Shamoon [BSCS-7] Mohammad Abu Bakar [BSCS-7] Mudassir Hussain [BSCS-7]


75 .
Tourrific: An AI Based Trip Planner:

This project is aimed at designing an Artificial Intelligence (AI) based trip planner app to foster local tourism in particular. This application would assist users in planning dream trips with AI based optimizer as their personal assistant. The AI based trip optimization is achieved using multi path optimization take time, cost, and most popular destinations as input and returns intelligent des...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Muhammad Khuram Shahzad [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Hafiz Muhammad Aafaq Tanveer Rana [BSCS-7] Ismail Matteh [BSCS-7] Muhammad Ibrahim Afsar Khan [BSCS-7]


76 .
An audiovisual retail and e-commerce app for rural public:

Usually Mobile apps are not user friendly for the Pakistani masses because they use text based interfaces and require knowledge of English. We aim to make a user friendly application by using local language and visual/sound cues to assist the user. This app will help farmers to buy fertilizers, pesticides and grocery etc online. The app uses Urdu speech based input and output for communicating wi...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Maajid Maqbool [DoC]
Students
Mahnoor Abeer [BSCS-7] Bisma Aslam [BSCS-7] Mona Muhammad Fiaz [BESE-8]


77 .
Gesture talk:

This project is based on the idea of converting English audio into Pakistan Sign Language and vice versa. It is basically aimed to facilitate the communication between deaf and dumb people with people who can talk and hear. This AI project is designed to bridge the gap which physically impaired people have with the normal society.

In a third world country it can be of great demand as not much ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Software Engineering
Year: 2020
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Sarah Tayyab [BSCS-7] Zoha Ahmed [BSCS-7]


78 .
Trusted and Reliable Land Records Management System using Blockchain :

Developing countries like Pakistan face a lot of issues in management and maintenance of land records, such as data tampering with land records, no means to access the complete history of property ownership, incoherent data sets because of different related land record management systems working in isolation, etc. Traditional land records management systems do not address these issues, which is w...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Assurance and Security
Year: 2020
Status: Completed
Advisor
Mehdi Hussain [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Muhammad Saud Musaddiq [BESE-8] Mashhood Ijaz [BESE-8]


79 .
TADOM - IoT and AI Assisted Walkthrough Scanner for Covid-19:

TADOM (Tech assisted disease obstruction measure) is an intelligent system designed for the obstruction of community transmission of diseases like Covid-19. This project aims to develop a walkthrough scanner installed on the entrance of a building. Any person entering the building will have to walk through it. The scanner would check the person’s temperature using the infrared camera. It will als...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Rafia Mumtaz [DoC]
Students
Osama Nadeem [BSCS-7] Muhammad Shajee Saeed [BSCS-7]


80 .
Multi-Class Novelty Fusion Model for Signature Verification:

Multi-Class Novelty Fusion Model for Signature Verification is a research based final year project that consists of a three tier architecture where each tier is responsible for its unique task. The first tier is used to extract features of genuine signatures, second tier utilizes various novel ideas to extract features for forged signatures, and the third tier uses relational modelling to provide...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Muhammad Imran Malik [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Umaid Mohammad Zaffar [BSCS-7] Marium Aslam [BSCS-7]


81 .
Urdu voice based Covid-19 screening helpline:

The telephonic helpline will make thousands of outbound telephonic calls to random people, and will ask them Urdu questions about their health conditions, symptoms and their daily life activities with respect to Covid-19. Based on respondent's answers, the system will guide the user about precautionary measures and how to seek medical help. This system will also collect valuable aggregate statist...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Faisal Shafait [DoC] Adnan Ul-Hasan [ECM]
Students
Muhammad Ubaid Ullah [BESE-8] Iqra Shahid [BESE-8] Takreem Masood [BESE-8]


82 .
Telephone Conversation Surveillance Using Urdu Speech Recognition:

A telephone exchange handles a large number of telephone calls daily. It is not humanly possible to check each call for suspicous conversations. Our automatic system would be able to identify suspicious telehone calls using Urdu speech recognition technology, and also identify long term trends and aggregate analytics on calls.


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Assurance and Security
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Seema Jehan [DoC]
Students
Mahnoor Ahmed [BESE-8] Maooz Bin Zahid [BESE-8] Mahnoor Faisal [BESE-8]


83 .
Pronunciation teaching app for the children with impaired hearing:

We aim to develop an application for auditory training of children with impaired hearing. In Pakistan, for every 1000 people 1.6 suffer from severe hearing loss and almost 90% of them don't have access to therapists locally, costing them opportunities in their future. We aim to develop the application for the targeted audience providing them the chance to follow through with a carefully and pract...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Seema Jehan [DoC]
Students
Hasnat Ahmed Khan Niazi [BESE-8] Saad Akram [BESE-8] Daniyal Ahmed Khan [BESE-8]


84 .
Predictive Model for a Smart Inventory Management System:

The aim of this project is to develop a smart inventory management system app on Android platform which uses machine learning algorithms to predict inventory expenditure and lifetime from the usage pattern of the user. Currently in the market, this is only possible on desktop-based programs which follow subscription-based payment models, and this project aims to bring that convenience to mobile d...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb Ullah [DoC]
Students
Ghazi Fateh Khan Tiwana [BESE-8] Armeen Khan [BESE-8]


85 .
Combating COVID-19 Using Internet of Medical Devices (IoMD) and AI:

There is continuous stress on the current healthcare resources with the rampant and widespread increase in COVID-19. Where more healthcare resources are required to manage the COVID-19 patients, it is important to consider that only the emergency case should visit hospitals and rest should manage themselves at homes. In such scenarios, there is a need for such systems which can remotely monitor a...


Project Level: UG
Project Type: FYP
KnowledgeArea: Software Engineering
Year: 2020
Status: Completed
Advisor
S.M. Hassan Zaidi [EE]
Co-Advisor
Rafia Mumtaz [DoC] Syed Ali Hassan [EE] Muhammad Ali Tahir [DoC]
Students
Zarlish Ashfaq [BEEE-9] Abdur Rafay [BEEE-9] Hadia Saleem [BEEE-9]


86 .
Spatial Decision Support System for Ambient Air Pollution Monitoring and Prediction Using Remote Sensing, Deep Learning, and Geospatial Technologies:

Recently, and in many preceding years, Pakistan has faced a worsening, toxic smog condition in various parts of Punjab including Lahore, Peshawar, Faisalabad, Rawalpindi, and Islamabad. Smog is mainly caused when either smoke combines with fog, or emissions and fumes combine with fog and sunlight. This forms a thick layer of smoke-like film in the atmosphere leading to many environmental and heal...


Project Level: UG
Project Type: FYP
KnowledgeArea: Software Engineering
Year: 2020
Status: Completed
Advisor
Rafia Mumtaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Abdullah Mughal [BSCS-7] Luqman Khanzada [BESE-8] Aymen Bashir [BEEE-9]


87 .
Exoplanet Transit Detection using Machine Learning:

For this project we will use data from the Kepler spacecraft which was designed to survey the Milky Way Galaxy to search for exoplanets. NASA has made Kepler's data available on their archives consisting of time-series data of about 51 months.
One of the most common methods to detect exoplanets is the transit method that indirectly detects the presence of one or more exoplanets in orbit around...


Project Level: UG
Project Type: FYP
KnowledgeArea: Computational Science
Year: 2020
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Rafia Mumtaz [DoC]
Students
Eisha Moin [BESE-8] Mahnoor Iqbal [BESE-8]


88 .
Server Monitoring System:

Organizations nowadays have a person to monitor the server performance.We aim to resolve this issue by providing a web based server monitoring system. A server monitoring system helps in automating the process of server monitoring e.g. CPU Usage, Memory Consumption, I/O, Network, Disk Usage, Process etc. We aim to develop a web based system that helps in regular collection of data to ensure that ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Networking and Communications
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Arsalan Ahmad [DoC]
Students
Abdul Raheem [BESE-7] Muhammad Ahmad [BESE-7] Mashood Akbar [BSCS-6]


89 .
Chatbot based emergency hotline:

We are developing a chatbot that answers automatically to emergency calls such as 1122, and generates corresponding actions and alerts


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Shahzad [DoC]
Students
Taimoor Ahmed [BSCS-6] Muhammad Tameem Rafay [BSCS-6]


90 .
Collective Crypto Price Prediction (C2P2):

The problem of predicting the up/down movements of cryptocurrencies is of great interest to both the financial industry and to individual consumers. We develop the C2P2 algorithm that has two innovations: (i) the use of similarities between cryptocurrency feature vectors, and (ii) that uses tentative predictions about (C - 1) cryptocurrency’s up/down price movements to predict that of the Cth cry...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2019
Status: Completed
Advisor
Omar Arif [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Abdullah Memon [BSCS-6] Muhammad Muneeb Shahryar [BESE-7]


91 .
Social Media App for Autodraw Doodling in Augmented Reality:

Various social media apps have pushed the boundaries of user experience by focusing on
sharing different aspects of our lives. This project focuses on sharing creativity. Users can make simple interactive drawings in augmented reality and then share their creation in a photo or short video. The app comes with an autodraw feature, When the user starts drawing, the app uses machine learning to det...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Qaiser Riaz [DoC]
Students
Mahad Masood Bajwa [BESE-7] Noor Binte Amir [BESE-7] Momin Muazzam [BESE-7]


92 .
Telephone Call Surveillance Using Speech Recognition:

Our system would be able to identify suspicious telehone calls in real-time, and identify long term trends and aggregate analytics on calls


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Assurance and Security
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Abdul Wahid [DoC]
Students
Muhammad Zohaib [BESE-7] Muhammad Amir [BESE-7] Abdul Manan [BESE-7]


93 .
Real time Trend and Sentiment Analysis on Social Network:

Twitter is a popular social networking site where people communicate through short messages called tweets. Twitter monitors these tweets and detects most discussed topics of the moment. These topics are published on the list called “Trending topics”. It shows what is happening in the world and what people’s opinion about it is. Twitter usually lists the top 10 trending topics. Our project aims to...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Mehdi Hussain [DoC]
Students
Fraz Bakht [BSCS-6] Shaur Khaqan [BSCS-6] Muhammad Ihtisham Alam Khan [BSCS-6]


94 .
Roman Urdu to Urdu Transliteration Engine:

At the moment limited work is done on Roman-Urdu to Urdu transliteration and it remains an area of interest to be explored further. Existing solutions are based mostly on rule based techniques. These solutions are neither robust nor flexible in terms of features and deployment. Hence, we intend to provide a holistic solution that can be used in different fields. Our objective is to develop Roman ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb Ullah [DoC]
Students
Bia Chaudhry [BESE-7] Ameer Hamza [BESE-7] Sadia Naseer [BESE-7]


95 .
IoT based healthcare analytics:

Using IoT (internet of things) devices and sensors, we can monitor different parameters of human body such as temperature, blood pressure etc. Using data analytics and machine learning, we can predict diseases and attacks.


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Imran Abeel [EE]
Students
Ayesha Mukhtar [BESE-7] Tasmia Batool Chishti [BESE-7] Rai Asad Sardar [BEEE-8]


96 .
Psychology aware chatbot based recruitment solution:

Our chat based recruitment solution will help organizations e.g. schools to evaluate prospective applicants for desirable attitude and traits


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Imran Haider [DoC]
Students
Maham Masroor [BSCS-6] Muhammad Sohaib Ishaq [BSCS-6]


97 .
SecureView - face recognition based suspicious person detection using mobile devices:

We propose to build a solution which identifies suspicious persons in real-time based on face recognition technology. A database of suspicious person's images will be maintained on a central server. A user such as security guard can point his mobile device at a person to scan his face in real time and identify whether he is a suspect.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Shahzad [DoC]
Students
Muhammad Saad [BESE-7]


98 .
Predictive analytics on Real Estate:

All the real estate portals available in Pakistan don’t provide the users with any kind of predictive analytics to make their investment decisions. Another problem is that the data on most of the websites is not up to date and also local agents due to personal gains or any other reasons don't provide enough information. So what we want to do, is to help the real estate investor in making effectiv...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Maajid Maqbool [DoC]
Students
Irtaza Akram [BSCS-6] Touseef Ahmad [BSCS-6] Muhammad Nouman Javaid [BSCS-6]


99 .
Augmented reality based furniture placement:

Our application will allow virtual placement of 3D models of furniture into a room. Using mobile screen as a lens, the selected item will be displayed in the specified position in the room. This will help the customer to decide whether to buy the item.


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb Ullah [DoC]
Students
Muhammad Saad Shahid [BSCS-6] Abdullah [BSCS-6] Asif Ahmed Ali [BSCS-6]


100 .
AIDVIB - Artificially Intelligent Assistive Device for Visually Impaired and Blind:

AIDVIB is a a context-aware scene based smart spectacles that assists the visually impaired and blind. AIDVIB uses vision, scene observation, and speech recognition along with voice assistance to assist the users in performing daily life activities and understanding their surroundings. It helps them perform tasks like reading newspapers, exchanging currency, finding belongings, and navigation.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Farhan Khan [DoC] Arsalan Ahmad [DoC]
Students
Sana Mumtaz [BSCS-6] Zaid Bin Arif [BSCS-6] Hunain Hussain Khan [BSCS-6]


101 .
SpeakUp: Automated Conversional System for English Speaking Proficiency:

An automated system in which users can improve their English speaking proficiency by conversing with the system. English speaking proficiency is an unaddressed problem in our society because of which our students lose their confidence in speaking in English very early, so we are going to make a system so that the users can use to improve their English speaking. The user just have to sign in to th...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Arsalan Ahmad [DoC] Muhammad Shahzad [DoC]
Students
Abdul Basit [BSCS-6] Muhammad Abdullah Kazmi [BSCS-6]


102 .
Real-time Product Selling System:

An industry based call bot which generates concurrent live calls and convinces people to purchase a particular product by using Speech Recognition and Natural Language Processing techniques. Based on persons’ mood, questions and responses, it builds up the conversation and responds efficiently in real time.


Project Level: UG
Project Type: FYP
KnowledgeArea: DSSP
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Farhan Khan [DoC]
Students
Yasir Ali [BSCS-6] Muhammad Asim Noor [BSCS-6]


103 .
Skin Cancer Classification using Deep Neural Network:

Skin Cancer is primarily diagnosed visually. Automated classification of skin lesion using images is a challenging task owing to the fine grained variability in skin lesions. Deep Convolutional neural network show potential for classifying skin cancer. We train a fairly large dataset to train the CNN. CNN achieves performance on par with professional dermatologist in classifying skin cancer image...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Arsalan Ahmad [DoC]
Students
Furqan Sadiq [BSCS-6] Muhammad Muneeb Arshad [BSCS-6]


104 .
On the spot - a study collaboration app:

This application is built in order to revolutionize education system and give students a platform to reach out and learn from people around them. This application will allow students to find other students studying the same course as them within a particular area or radius. Students will register through the app and set up their active courses which will be visible to others , this will then noti...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Imran Malik [DoC]
Students
Urwah Asrar Chaudhary [BSCS-6] Hiba Khan [BSCS-6] Noor Abid [BSCS-6]


105 .
Food delivery app for everyone:

Our food delivery app solves some issues with existing similar apps. We have a fleet of riders independent of restaurants. This will make it possible to deliver to previously less accessible locations like sector H-12. Furthermore, this will be benficial for small restaurants who cannot afford dedicated delivery personnel.


Project Level: UG
Project Type: FYP
KnowledgeArea: Software Engineering
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Arsalan Ahmad [DoC]
Students
Khuzemah Saeed [BSCS-6] Hassan Jahangir [BSCS-5]


106 .
TV broadcast analytics using speech recognition:

The task is to use speech recognition to extract textual information from a large number of Youtube videos. This text can be mined to extract useful information and classification of videos. For example, we can identify which video is a comedy drama and which video is a talk show, based on extracted text. We can also search for particular persons and events in the videos. This will be done for vi...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb Ullah [DoC]
Students
Arslan Basit [BSCS-6] Muhammad Saad Akhtar [BSCS-6]


107 .
Speech recognition in regional languages for telephonic security surveillance:

Our speech recognition system will be able to recognize telephonic calls in regional Pakistani languages like Punjabi, Pashto. It would be able to identify suspicious telehone calls in real-time, and identify long term trends and aggregate analytics on calls


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Assurance and Security
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Ahmad Salman [EE]
Students
Abdul Ghaffar [BSCS-6] Muhammad Rehman Rabbani [BSCS-6] Hamad Nasir [BSCS-6]


108 .
Data analytics for online marketplaces:

We aim to develop a data analytics solution for online marketplace websites


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Farhan Khan [DoC]
Students
Arbaz Khan [BSCS-6] Umair [BSCS-6]


109 .
Data Analytics on Call Center Audio:

In the customer service field, advanced NLP technologies could be used to analyze voice calls in terms of customer happiness, sentiment analysis, etc. The purpose of this project is to improve the quality of customer service for customers and provide comprehensive statistics to companies for the enhancement of their service packages.


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Mehdi Hussain [DoC]
Students
Kashif Nazir Khan [BESE-7] Ubaid Ur Rehman [BESE-7] Muhammad Ahsan Farooq [BESE-7]


110 .
Intelligent Glasses for Blind People:

The estimated number of people visually impaired in the world is 285 million, 39 million blind and 246 million having low vision; The main idea of this project is to build a glasses which will help those people to overcome the barrier of blindness and work and live like normal people. This will be done by using novel deep learning algorithms and techniques which be integrated into real glasses wh...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2019
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Asif Ali [DoC]
Students
Agha Saad Fraz [BESE-7] Hadiqa Alamdar Bukhari [BESE-7] Areesha Tariq [BESE-7]


111 .
Forecasting Energy needs for Smart Grids:

Smart grids are the next generation electric networks in which information technology integrates with electric networks and devices to improve cost, reliability and sustainability. This project entails forecasting of micro-grid or grid station level electricity forecasting which may be extended to forecasting household loads within the concerned region.


Project Level: UG
Project Type: FYP
KnowledgeArea: Algorithms and Complexity
Year: 2018
Status: Completed
Advisor
Fahad Javed [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Abdul Rafay [BESE-6] Shahmir Ejaz [BESE-6] Abu Zer Arshad [BESE-6]


112 .
A user friendly Application for Farmers :

It is difficult for illiterate farmers to get information of latest price information of agricultural products. Usually Mobile apps are not user friendly for farmers because they use text based interfaces and require knowledge of English. We aim to make a user friendly application by using local language and visual/sound cues to assist the user.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb Ullah [DoC]
Students
Aroosha Batool [BSCS-5] Sadia Khalid [BSCS-5]


113 .
Shireen - A virtual phone assistant:

Virtual assistants on mobile phones provide an enhanced user experience. The objective is to develop system that aids people not well-versed in English have the same benefits as others. Users can give Urdu commands to their mobile to perform certain operation such as launch applications and set reminders.


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Qaiser Riaz [DoC] Maajid Maqbool [DoC]
Students
Rabia Saeed [BESE-6] Hijab Zahid [BESE-6] Ayesha Anjum [BESE-6]


114 .
Predictive Solutions for Healthcare using Data Analytics and Machine Learning:

The healthcare industry is sub-optimal including problems in the domain of supply chain management and clinical decisions. Our project will focus on analyzing data that will help us find out admission trends of patients. Correlating medical information and history of the patients with other parameters will enable us to predict diseases and the amount of pharmaceutical goods required. This will he...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Qaiser Riaz [DoC]
Students
Syed Zain Ul Abideen Gillani [BSCS-5] Mohid Munir Khan [BSCS-5] Saad Azhar [BSCS-5]


115 .
Emotion Identification and Analytics on Call Center Audio:

In the customer service field, advanced NLP technologies could be used to analyze voice calls in terms of customer happiness, sentiment analysis, etc. The purpose of this project is to improve the quality of customer service for customers and provide comprehensive statistics to companies for the enhancement of their service packages.


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Seemab Latif [DoC]
Students
Khuzaima Munawar Jamil [BSCS-5] Mohammad Abdur Rehman Azeem [BSCS-5] Mussawer Raza Gulzar [BSCS-5]


116 .
Urdu Speech Recognition based Car Navigation System:

This project is being done in collaboration with TPL Trakker Ltd. We aim to develop an in-car conversational system. A user can talk to his system and tell his destination. The navigation system then guides the user using a computer generated voice.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb Ullah [DoC]
Students
Muhammad Ahmad Rana [BESE-6] Maryam Zafar [BESE-6] Ashar Mehmood [BESE-6]


117 .
Large Algorithm Retentive Assistance for Intelligent Blinds:

The project constitutes of tools that are going to help the visually impaired people in their daily lives. The aim is to improve the person's ability to perform tasks simulating those of daily living


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Taufique ur Rahman [DoC] Arsalan Ahmad [DoC]
Students
Burhan-Ul-Tayyab [BESE-6]


118 .
Fix It!:

We aim to develop an android application, where users will get their home maintenance services in the easiest way possible i.e. a few taps on their smartphones. It has been noticed that there is a lack of technical knowledge related to the home maintenance in the twin cities, that is, electric wiring, plumbing etc. People have to wait for days till they get the services, which are not quality ass...


Project Level: UG
Project Type: FYP
KnowledgeArea: Software Engineering
Year: 2018
Status: Completed
Advisor
Muhammad Muneeb Ullah [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Muhammad Atif [BSCS-5] Mueed-Ur-Rehman [BSCS-5] Muhammad Yasir Hayat Khan [BSCS-5]


119 .
Airborne Wind Turbine:

An airborne wind turbine is a kite like device tethered to a generator for generating electricity. Winds at high altitudes are many times stronger and more consistent, as compared to near ground. Such systems can help solve our country's energy crisis. For more details about the design please contact


Project Level: UG
Project Type: FYP
KnowledgeArea: Power
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Zubair Rehman [EE]
Students
Raja Saad Shakeel [BEEE-7] Nadir Mehmood [BEEE-7] Muhammad Haider Raza [BEEE-7]


120 .
Big data analytics for stock market data :

Day-to-day operations in stock markets generate large amounts of stock prices data, which can be analyzed to yield interesting insights. This is turn helps investors to optimize their strategy.


Project Level: UG
Project Type: FYP
KnowledgeArea: Computational Science
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb ULLAH [DoC]
Students
Malik Salar Ahmad [BSCS-5] Eeman Sarfraz [BSCS-5] Moazzam Farid [BSCS-5]


121 .
Urdu handwriting recognition for assisting publishers:

The task is to recognize a freely written Urdu text (in image form). Many (especially older) writers still like to write on paper, and the publishers need manpower to digitize all the written text. This authomated system will enable automatic digitizing of handwritten text.


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Rafia Mumtaz [DoC] Muhammad Imran Malik [DoC]
Students
Usama Shaukat [BSCS-5] Maaz Ullah [BSCS-5] Ahsan Ijaz [BSCS-5]


122 .
Event management and tracking system:

We plan to develop a mobile and web based application using software development methodology to provide users with an easy to use portal for organizing events as well as find events around them they might be interested in.


Project Level: UG
Project Type: FYP
KnowledgeArea: Software Engineering
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Maajid Maqbool [DoC]
Students
Mohammad Shahid Zaidi [BSCS-5] Muhammad Kaab [BESE-6]


123 .
Data driven supply chain analytics:

Today’s world is driven by data. Our main idea is to develop a system that gathers data from stores and shops storing it on centralized cloud platform and applying it to analytical models to generate useful information such as demand trends, optimized resource distribution, optimum profit regions etc.


Project Level: UG
Project Type: FYP
KnowledgeArea: Computational Science
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Omar Arif [DoC]
Students
Ziyab Ikram [BSCS-5] Muhammad Tayyab [BSCS-5]


124 .
Glasses for Blind People:

The estimated number of people visually impaired in the world is 285 million, 39 million blind and 246 million having low vision; The main idea of this project is to build a glasses which will help those people to overcome the barrier of blindness and work and live like normal people. This will be done by using novel deep learning algorithms and techniques which be integrated into real glasses wh...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Maajid Maqbool [DoC] Arsalan Ahmed [DoC]
Students
Muhammad Usama Ghani [BESE-6] Usama Zameer [BSCS-5]


125 .
Telephonic Hospital Assistant:

Adding voice recognition to computer interfaces can greatly increase their usability, especially in developing countries like Pakistan where a large segment of population has limited reading/writing skills. We plan to develop an automated helpline for a Hospital where users can dial-in, speak in Urdu to the virtual operator and the virtual operator answers with the required information about doct...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Hassan Aqeel [EE]
Students
Amal Naeem [BESE-6] Tayyaba Ambreen [BESE-6] Fahad Bin Saleem [BESE-6]


126 .
Data Analytics in Education:

Improving academia by
* Analyzing specialization fields of faculty
* Helping students in choosing electives
Bridging the gap between academia and industry by
* Analyzing required skill set in industry
* Analyzing alumni performance in industry
* Letting industry propose the curriculum


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2018
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Taufique ur Rahman [DoC]
Students
Muhammad Ehsan Ul Haq [BESE-6] Hafiz Adnan Iqbal Khan [BESE-6] Shah Mashud Alam [BESE-6]


127 .
SLAR - Smart Learning using Augmented Reality:

Augmented reality (AR) is being used in as an educational medium of interactive learning for young learners such as preschoolers. Previous research has shown that AR systems have the potential to improve student learning. However, there exist no AR based interactive learning solutions for local demands.

The objectives of this project is to develop a framework which can be used to augment impo...


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2017
Status: Completed
Advisor
Qaiser Riaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Sarmad Shabbir [BESE-5] Muhammad Usama Ishfaq [BESE-5] Zaman Asif [BESE-5]


128 .
Sign language interpretation using machine learning techniques:

Sign language, used by deaf people to communicate with others, is often difficult for normal people to understand. The idea is to convert sign language into text so that it is understandable for normal people and help them communicate with deaf people.
This is a research intensive project.


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2017
Status: Completed
Advisor
Muhammad Imran Malik [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Mehmoona Bibi [BESE-5] Sarah Irfan [BESE-5] Laiqua Andleeb [BESE-5]


129 .
Augmented reality based solution for furniture placement and interior design:

This application will allow virtual placement of 3D models of furniture from any furniture store into a room. Using mobile screen as a lens, the selected item will be displayed in the specified position in the room. This will help the customer to decide whether to buy the item. Furthermore, the application will allow the user to virtually change the color of walls and furniture.


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Qaiser Riaz [DoC]
Students
Adil Rabbani [BSCS-4] Naveed Ahmad [BSCS-4] Aroona Ayub [BSCS-4]


130 .
Speech recognition based fast data entry system:

Today, many organizations like Post Offices and hospitals use manual means to record the data in their systems which is very time consuming. The common people who are not good typists might end up taking too much time and effort for filling simple forms. We aim to develop an automated data entry system where users enter data into forms by speaking.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Asad Shah [DoC]
Students
Maryum Rehman [BSCS-4] Hamza Aleem [BSCS-4] Habib-Ur-Rehman [BSCS-4]


131 .
Mobile Money Direct Cash Transfers to Extremely Poor:

PPAF does cash transfer, loans and other forms of asset transfers etc. within different parts of Pakistan. With the influx of m-finance and linking of banks and telcomm, we have an opportunity to create a technology platform that can provide direct cash transfer to extremely poor with access to mobile phone. While PPAF is the position to bring all stakeholders on it, the key bottle neck for us is...


Project Level: UG
Project Type: FYP
KnowledgeArea: Architecture and Organization
Year: 2017
Status: Completed
Advisor
Qaiser Riaz [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Moneeza Syed [BESE-5] Muhammad Zaeem Javed [BESE-5] Mohammad Saad [BESE-5]


132 .
Augmented Reality based shooting game for mobile devices:

This first person shooter game will be played in multiplayer mode by a group of mobile users in an envorinment allowing free movement and occlusion. The players will see each other in augmented reality through the mobile screen and can shoot at each other like in regular first person shooters.


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2017
Status:
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb ULLAH [DoC]
Students


133 .
Automatic telephonic assistant for information access:

Voice is the most natural form of human communication. Adding voice recognition to computer interfaces can greatly increase their usability, especially in developing countries like Pakistan where a large segment of population has limited reading/writing skills. We plan to develop an automated helpline where users can dial-in, speak in Urdu to the virtual operator and the virtual operator answers ...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Hassan Aqeel [EE]
Students
Muhammad Mudassir Javaid [BSCS-4] Javairia Nawaz [BSCS-4] Aftab Akram [BSCS-4]


134 .
English accent trainer for Urdu speakers:

Our project will be a self-help Android Application which will let the user decide their own pace and time to climb the stairs towards speaking perfect English. Our app will give the user the freedom of choosing from different levels of speaking English with Urdu
translations and work with the user step-by-step from the easiest through the most difficult.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb ULLAH [DoC] Jaudat Mamoon [DoC]
Students
Verda Zubaida [BSCS-4] Anas Khalid [BSCS-4] Sohaib Anwar [BSCS-4]


135 .
Stock Market Prediction Model Using Data Mining, Business Intelligence And BigData Techniques:

In today’s market, we have to incorporate various internal and external factors to analyze and predict the Trading Market’s (stock market) trends. Incorporating these factors requires handling of historical figures which amounts to massive amounts of data which is largely unformatted and irregular. Our project aims to use Data Analytics and Business Intelligence techniques to determine market tre...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2017
Status: Completed
Advisor
Omar Arif [DoC]
Co-Advisor
Muhammad Shahzad [DoC]
Students
Majid Ali Khan [BSCS-4] Affan Muddassir [BSCS-4] Hamza Jamshaid [BSCS-4]


136 .
Blood Donation Application:

We present a mobile application to make the process of blood donation effective and efficient by generating location based requests to the donors with matching blood group.


Project Level: UG
Project Type: FYP
KnowledgeArea: Operating Systems
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb ULLAH [DoC]
Students
Hamna Zahid [BESE-5] Maryem Fatima [BESE-5] Menobia Arif [BESE-5]


137 .
Augmented Reality Tourist Guide:

A mobile application for tourists that recognizes scenes and landscapes using the phone camera; and augments markers and information in real time on to respective scenes and landscapes using augmented reality techniques.


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb ULLAH [DoC]
Students
Muhammad Shehroz Sajjad [BSCS-4] Syed Muhammad Tayyab [BSCS-4] Muhammad Talha [BSCS-4]


138 .
Acquisition of sensor-based customer data for retail business optimization :

Using input from various sensors we collect data about potential customers entering and exiting a brick-and-mortar retail store. We use data analytics algorithms to estimate customer profiles, behaviours and visit patterns. This in turn allows retail stores to optimize their business strategy


Project Level: UG
Project Type: FYP
KnowledgeArea: Computational Science
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Omar Arif [DoC] Jaudat Mamoon [DoC]
Students
Saad Arshad [BSCS-4] Rao Uneeb-Ur-Rehman [BSCS-4] Umer Farooq [BSCS-4] Khawaja Fahad Khalid [BSCS-4]


139 .
Predictive Analytics in Healthcare for Diabetes Prediction:

We will collect data of medical records from local clinics and hospitals in Islamabad. The dataset contains information like age, gender, disease location etc. The aim is to use data analytics and machine learning algorithms to provide concrete statistics and recommendations in the field of medicine.


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Imran Malik [DoC]
Students
Faizan Zafar [BESE-5] Muhammad Umair Khalid [BESE-5] Saad Raza [BESE-5]


140 .
Voice based home assistant:

We envisage an amazon echo dot like device. Using our voice, we can talk to it to control home appliances; add reminders and alarms; read-aloud emails and SMS. Our assistant will understand commands in Urdu language


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Imran Malik [DoC]
Students
Ibrahim Usmani [BESE-5] Taha Raza Rashid [BESE-5] Zainab Obaid [BESE-5]


141 .
Design of an intelligent analytics platform for SDN :

This project will design an analytics platform for software-defined-networks. You will be working in collaboration with an external (industry) adviser based in AT&T, USA. Funding for this project is under review and there is a strong chance that there will be funded positions on this project. Upon successful completion you can look forward to job positions in the external adviser's company in Lah...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2017
Status: Completed
Advisor
Hassan Aqeel [EE]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Noor Muhammad Malik [BEEE-6]


142 .
Call-center data mining using speech recognition:

We have several hours of Pakistani call center data. The task is to identify within hundreds of calls, the ones which contain a particular phrase or word e.g. "internet nahi chal raha", we also need to identify calls in which the customer was not satisfied with the operator's response.


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Hassan Aqeel [EE] Arslan Ahmed [DoC]
Students
Jamal Hassan Sargana [BSCS-4] Muneeb Ur Rahman [BSCS-4] Talal Ahmed [BSCS-3]


143 .
Spoken language translator :

We aim to develop an android app that enables two people (who may not know a common language) to converse with each other. This project will convert the speaker's speech to text, translate this text into the other person's language, convert it into speech again and play this audio to the other person. Our aim is to specifically target Pakistani languages as they are not supported even in Google A...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb ULLAH [DoC]
Students
Syeda Kubra Fatima [BESE-5] Ayesha Rahman [BESE-5] Maham Safdar Abbasi [BESE-5]


144 .
Conversational Chatbot to serve as Personal Companion:

This chat bot will be able to converse with a specific age/interest group and will provide companionship and entertainment. e.g. it can be used for elderly people. The user can converse with the bot using text (or voice) and the bot replies accordingly in the same medium


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Wajahat Hussain [EE]
Students
Amna Abdul Rehman [BSCS-4] Muhammad Ureb Hasan [BSCS-4] Ramsha Khuram [BSCS-4]


145 .
Automatic Call Transcriber on Mobile Phone for Future Reference to Conversation:

Throughout the day we get many important calls on our mobile phone but we tend to forget maximum conversation e.g. we may forget the time or location of an important meeting. Converting call audio to text can enable us to quickly skim over past conversations and even search for keywords/phrases.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Ahmad Salman [EE]
Students
Tanavush Ishtiaq [BSCS-4] Fatiha Nasir [BSCS-4] Izzah Kamal [BSCS-4]


146 .
Data analytics of customer data for retail business optimization :

Using input from various sensors we collect data about potential customers entering and exiting a brick-and-mortar retail store. We use data analytics algorithms to estimate customer profiles, behaviours and visit patterns. This in turn allows retail stores to optimize their business strategy. This sub-project focusses on data analytics and top-level integration


Project Level: UG
Project Type: FYP
KnowledgeArea: Computational Science
Year: 2017
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Omar Arif [DoC]
Students
Wassay Mahmood [BESE-5] Jalib Hussain Khan [BSCS-4] Maleeka Ismail [BEEE-6]


147 .
eVatar:

This project aims to use realtime facial and emotion recognition to project facial features on a virtual avatar. Applications include, virtual reality, gaming and video conferencing and chatting.


Project Level: UG
Project Type: FYP
KnowledgeArea: DSSP
Year: 2017
Status: Completed
Advisor
Hassan Aqeel [EE]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Marium Sharif [BEEE-6] Marium Ashraf [BEEE-6] Aminah Siddique [BEEE-6]


148 .
Hospital support system based on speech recognition:

Patients and visitors talk to an automated conversational system installed in a hospital to inquire about doctor timings, appointments and other information . The automatic system talks to them using speech recognition in local language (Urdu, Punjabi etc.)


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2016
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Fahad Ahmed Satti [DoC] Ahmad Salman [EE]
Students
Momna Saeed [BSCS-3] Mehreen Ali [BSCS-3] Sana Ikram [BSCS-3]


149 .
Augmented Reality based shooting game for mobile devices:

This first person shooter game will be played in multiplayer mode by a group of mobile users in an envorinment allowing free movement and occlusion. The players will see each other in augmented reality through the mobile screen and can shoot at each other like in regular first person shooters.


Project Level: UG
Project Type: FYP
KnowledgeArea: Graphics and Visualization
Year: 2016
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muddassir Malik [DoC]
Students
Haris Hasan Jalali [BESE-4] Sobia Arshad [BESE-4]


150 .
Automatic bank robbery detection and prevention:

Every now and then, we hear news about a successful robbery attempt in a bank, often with CCTV footage of the whole event that is recovered afterwards. This open problem offers a huge opportunity for technological intervention. Therefore, the idea is to come up with an AI method which can automatically detect any robbery attempt from the installed CCTV cameras, and respond appropriately to foil t...


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2016
Status: Completed
Advisor
Muhammad Muneeb ULLAH [DoC]
Co-Advisor
Muhammad Ali Tahir [DoC]
Students
Azba Nawaz [BESE-4] Nayab Javed [BESE-4] Sana Mushtaq [BESE-4]


151 .
Call-center quality control using speech recognition:

We have 50 hours of Pakistani call center data. The task is to identify within hundreds of calls, the ones which contain a particular phrase or word e.g. "internet nahi chal raha", we also need to identify calls in which the customer was not satisfied with the operator's response.


Project Level: UG
Project Type: FYP
KnowledgeArea: Intelligent Systems
Year: 2016
Status: Completed
Advisor
Muhammad Ali Tahir [DoC]
Co-Advisor
Muhammad Muneeb ULLAH [DoC]
Students
Sunny Rahul [BSCS-3] Waqas Ahmad [BSCS-3]


152 .
iLife - A Technological Solution to Locate and help Stranded People in Disasters:

Disasters have always been devastating for people. Recently, a strong earthquake measuring 8.1 on richter scale struck major cities of Pakistan causing massive devastation in the country as millions of people had a little clue about the whereabouts of their kin. A massive amount of people have lost their lives due to natural disasters. Our country needs a technological solution that allows indivi...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2015
Status: Completed
Advisor
Asad Waqar Malik [DoC]
Co-Advisor
Arslan Ahmed [DoC]
Students
Muneer Ahmed [BESE-3] Jawad Bin Sarfraz [BESE-3] Asif Javed [BESE-3]


153 .
Towards adopting MPI Standard 2.0 in the MPJExpress software:

MPJ Express is an open source Java message passing library that allows application developers to write and execute parallel applications for multicore processors and compute clusters/clouds. The software currently implements the MPI standard version 1.0. In this project, we plan to implement several new features of the MPI standard version 2.0 including one-sided communication, non-blocking colle...


Project Level: UG
Project Type: FYP
KnowledgeArea: Parallel and Distributed Computing
Year: 2015
Status: Completed
Advisor
Asad Waqar Malik [DoC]
Co-Advisor
Aamir Shafi [DoC] Anis ur Rahman [DoC]
Students
Saiyida Noor Fatima [BESE-3] Noor Zehra [BESE-3] Syed Mehdi Raza Jaffery [BESE-3]


154 .
VR Game for Stress Relief:

A Virtual Reality game that helps users relieve stress, this system will also provide the user live quantitative data about their stress levels. The game will be developed in Unity 3D. Google Cardboard and an android device will be used as VR headset while a MindWave Mobile will be used for monitoring live EEG power spectrums.


Project Level: UG
Project Type: FYP
KnowledgeArea: Human-Computer Interaction
Year: 2015
Status: Completed
Advisor
Shamyl Mansoor [DoC]
Co-Advisor
Muhammad Muddassir Malik [DoC]
Students
Maham Shahid [BESE-3] Ahmed Suffian Javed [BESE-3] Usama Siddique [BESE-3]


155 .
Cloud based Online election management system:

Keeping in view the current situation of election system, there is immense need for a secure and reliable vote casting system. The system will allow main functionality of voting i.e. Election creation module, voting conduction module and result compilation module. The system will also facilitate distance vote casting after validating the user through bio-metric authentication. The final system wi...


Project Level: UG
Project Type: FYP
KnowledgeArea: Information Management
Year: 2015
Status: Completed
Advisor
Ayesha Kanwal [DoC]
Co-Advisor
Muhammad Qaisar Choudhary [DoC]
Students
Adeen Ayub [BESE-3] Hafiza Ashna Asif [BESE-3] Sumrish Hanif [BESE-3] Saba Saeed [BESE-3]


Research Experience

Research Assistant , RWTH Aachen University

October 2011 - December 2015

Details: Worked on various European-funded projects in close cooperation with other academic and industrial partners, primarily in the domain of automatic speech recognition and neural networks. * QUAERO: European research and development program with the goal of developing multimedia and multilingual indexing and management tools for professional and general public applications * Translectures: an EU-funded project to develop innovative, cost-effective tools for the automatic transcription and translation of online educational videos. * EU-Bridge: a multisite-project designed to build and promote bridges across the language divide. With 24 official languages in Europe language barriers represent a considerable challenge to communication in Europe. ========================= -
CO-PI , National Center for Artificial Intelligence - Deep Learning Lab

July 2018 - Present

Details: Research and Development of Speech and Natural Language Processing based Solutions for Pakistan ========================
Journal

(1.) J. Hassan , M. A. Tahir, A. Ali , "Natural language understanding of map navigation queries in Roman Urdu by joint entity and intent determination", Peerj Computer Science , Vol. 7 , No. 615, Jul, 2021. IF: 1.39
(2.) A. Rauf , Z. Wang, H. Sajid, M. A. Tahir , "Secure Route-Obfuscation Mechanism with Information-Theoretic Security for Internet of Things", Sensors - special issue Internet of Things, Big Data and Smart Systems, Vol. 20 , No. 15, Jul, 2020. IF: 3.2
(3.) A. Pervaiz , F. Hussain, H. Israr, M. A. Tahir, F. R. Raja, N. K. Baloch, F. Ishmanov, Y. B. Zikria , "Incorporating noise robustness in speech command recognition by noise augmentation of training data", Sensors - special issue VOICE Sensors with Deep Learning, Vol. 20 , No. 8, Apr, 2020. IF: 3.0
(4.) M. A. Tahir , H. Huang, A. Zeyer, R. Schlüter, H. Ney , "Training of Reduced-Rank Linear Transformations for Multi-layer Polynomial Acoustic Features for Speech Recognition", Elsevier Speech Communication, ISSN 0167-6393, Vol. 110 , No. 1, PP. 56-63, Jul, 2019. IF: 1.8

Conference

(1.) M. Rani , S. Latif, M. A. Tahir, R. Mumtaz , "A Survey of Sentiment Analysis of Internet Textual Data and Application to Pakistani YouTube User Comments", Proceedings of the ICoDT2, May, 2021, Islamabad , Pakistan.
(2.) A. A. Chaudhry , R. Mumtaz, S. M. H. Zaidi, M. A. Tahir, S. H. Muzammil , "Internet of Things (IoT) and machine learning (ML) enabled livestock monitoring", Proceedings of the HONET-ICT, Dec, 2020, Charlotte , USA.
(3.) O. Nadeem , M. S. Saeed, M. A. Tahir, R. Mumtaz , "A Survey of Artificial Intelligence and Internet of Things (IoT) based approaches against Covid-19", Proceedings of the HONET-ICT, Dec, 2020, Charlotte , USA.
(4.) T. Ikram , A. Saeed, N. U. Ayn, M. A. Tahir, R Mumtaz , "A review of the prevalent ICT techniques used for COVID-19 SOP violation detection", Proceedings of the HONET-ICT, Dec, 2020, Charlotte , USA.
(5.) A. Rauf , Z. Wang, H. Sajid, M. A. Tahir , "Efficient Distributed Key Agreement for Edge Devices in the Internet of Things with Information-Theoretic Security", Proceedings of the 7th International Cryptology and Information Security Conference, Jun, 2020, Online , Malaysia.
(6.) F. Zafar , S. Raza, M. U. Khalid, M. A. Tahir , "Predictive Analytics in Healthcare for Diabetes Prediction", Proceedings of the 9th International Conference on Biomedical Engineering and Technology, Mar, 2019, Tokyo , Japan.
(7.) Y. Ghazi , Z. Anwar, R. Mumtaz, S. Saleem, A. Tahir , "A Supervised Machine Learning Based Approach for Automatically Extracting High-Level Threat Intelligence from Unstructured Sources", Proceedings of the International Conference on Frontiers of Information Technology, Dec, 2018, Islamabad , Pakistan.
(8.) W. Nawaz , S. Ahmed, M. A. Tahir, H. A. Khan , "Classification Of Breast Cancer Histology Images Using ALEXNET", Proceedings of the International Conference on Image Analysis and Recognition, Jun, 2018, Póvoa de Varzim , Portugal.
(9.) M. A. B. Shaik , Z. Tüske, M. A. Tahir, M. Nußbaum-Thom, R. Schlüter, and H. Ney , "Improvements in RWTH LVCSR evaluation systems for Polish, Portuguese, English, Urdu, and Arabic", Proceedings of the Interspeech, Sep, 2015, Dresden , Germany.
(10.) M. A. Tahir , S. Wiesler, R. Schlueter, H. Ney , "Investigation of Mixture Splitting Concept for Training Linear Bottlenecks of Deep Neural Network Acoustic Models", Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr, 2015, Brisbane , Australia.
(11.) Z. Tüske , M. A. Tahir, R. Schlüter, H. Ney , "Integrating Gaussian Mixtures into Deep Neural Networks: Softmax Layer with Hidden Variables", Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr, 2015, Brisbane , Australia.
(12.) M. A. B. Shaik , Z. Tüske, M. A. Tahir, M. Nußbaum-Thom, R. Schlüter, H. Ney , "RWTH LVCSR Systems for Quaero and EU-Bridge: German, Polish, Spanish and Portuguese", Proceedings of the Interspeech, Sep, 2014, , Singapore.
(13.) M. A. Tahir , H. Huang, R. Schlueter, H. Ney, L. t. Bosch, B. Cranen, L. Boves , "Training Log-Linear Acoustic Models in Higher-Order Polynomial Feature Space for Speech Recognition", Proceedings of the Interspeech, Aug, 2013, Lyon , France.
(14.) M. A. Tahir , M. Nussbaum, R. Schlueter, H. Ney , "Simultaneous Discriminative Training and Mixture Splitting of HMMs for Speech Recognition", Proceedings of the Interspeech, Sep, 2012, Portland, OR , United States.
(15.) M. A. Tahir , R, Schlueter, H. Ney , "Discriminative Splitting of Gaussian/Log-Linear Mixture HMMs for Speech Recognition", Proceedings of the IEEE Automatic Speech Recognition and Understanding, Dec, 2011, Waikaloa, HI , United States.
(16.) M. A. Tahir , R, Schlueter, H. Ney , "Log-linear Optimization of Second-order Polynomial Features with Subsequent Dimension Reduction for Speech Recognition", Proceedings of the Interspeech, Aug, 2011, Florence , Italy.
(17.) M. A. Tahir , G. Heigold, C. Plahl, R. Schlueter, H. Ney , "Log-Linear Framework for Linear Feature Transformations in Speech Recognition", Proceedings of the IEEE Automatic Speech Recognition and Understanding, Dec, 2009, Merano , Italy.
(18.) R. Hafiz , M. A. Tahir, O. Arshad, S. Khan , "An optimized hardware accelerator for real time registration of aerial video imagery and its applications", Proceedings of the Third International Conference on Image and Graphics, Dec, 2004, Hong Kong , China.
(19.) M. A. Tahir , A. Munawar, I. A. Taj , "Efficient use of multipliers in microprocessor implementation of Hamming distance for binary sequence correlation", Proceedings of the International Networking and Communication Conference, Jun, 2004, Lahore , Pakistan.
(20.) R. Hafiz , M. A. Tahir, O. Arshad, S. Khan , "Hardware design for registration of aerial video imagery", Proceedings of the 8th International Multitopic Conference, Jan, 2004, Lahore , Pakistan.

Assistant Professor , SEECS, NUST
February 2016 - Present

Details: Courses: CS 330 operating systems, CS 251 Design and Analysis of Algorithms

Visiting Lecturer , Foundation University
April 2004 - August 2004

Details: Course: Digital Image Processing

Teaching Assistant , Center for Advanced Studies in Engineering (CASE)
September 2004 - January 2005

Details: Course: Digital Image Processing


Software Engineer , Center for Advanced Research in Engineering
August 2003 - January 2005

Details: Worked on several indigenous technology development projects involving GIS, digital communication and image processing. =========================

PI , TPL Trakker Ltd. Karachi
January 2017 - July 2017

Details: Industrial Consultancy Project - Speech Based Interaction for Vehicle Navigation System. =========================

PI , NRTC
July 2019 - December 2019

Details: Industrial Consultancy Project - Development of Urdu speech recognition system for surveillance. =========================