Index

Muhammad Moazam Fraz
Tenured Associate 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: -
Email: moazam.fraz@seecs.edu.pk
Web: http://vision.seecs.edu.pk/

Specialization:
Computer Vision, Deep Learning, Computational Pathology, Medical Image Analysis, Visual surveillance, Scene / Semantic understanding

Education:
PhD - Computer Science - (Medical Image Analysis/Computer Vision) - Kingston University London - United Kingdom - 2013

Dr. Muhammad Moazam Fraz completed his PhD (Computer Science) from Faculty of Science Engineering and Computing, Kingston University London in 2013. His research area was application of machine learning / computer vision techniques for diagnostic retinal image analysis. His PhD thesis was nominated for IET excellence awards 2013. After completing his PhD, he has worked as post doc researcher at Kingston University in collaboration with St George’s University of London and UK BioBank on the development of software tools for the epidemiologists to analyze the association between systemic and cardiovascular disease and the retinal vessel characteristics as potential biomarker. Afterwards, he joined NUST SEECS as Assistant Professor in June 2014.

Dr. Fraz received his MS and BS degrees in Software Engineering in 2008 and 2003 respectively. He was the recipient of two Gold Medals for 'Best Graduate Award' and 'Securing Top Position in the batch'. He has started his career in 2003 as a Software Development Engineer at Elixir Technologies Corporation, a California based software Company. He has served with Elixir until 2010 at various roles and capacities including software developer, development manager and program manager. He is a PMI (www.pmi.org) certified Project Management Professional (PMP).

He was awarded with Rutherford Visiting Fellowship by The Alan Turing Institute United Kingdom (UK's National Center for Data Science and Artificial Intelligence) to work as Senior Research Fellow at the Tissue Image Analytics (TIA) Lab, University of Warwick, UK in 2018, where he has worked on Deep learning-based histopathological analytics for better cancer grading and prognostication.

He has been awarded with SEECS Best Researcher Award for the year 2020 and included top 2% researchers worldwide by Citation Impact for the calendar year 2019. Moreover, he has got British Council’s UK Alumni Awards 2020 in the Professional Achievement category. He has secured several national and international research fundings as well.

He was Program Committee member of MICCAI, MIUA, BMVC, ECCV, ICCV and FIT Conferences. Besides, he was TPC co-chair of HONET 2015, CSDiFO 2016, HONET 2020 and ICODT2 2021. 

He is interested in using Computer Vision, Artificial Intelligence and Machine Learning to solve real world problems. Having more than 12 years of experience of working in industry and academia, Continually drive research and technology innovation to develop cutting-edge AI algorithms and methods with a special emphasis on designing deep learning architectures for solving various computer vision problems in academia and industry. 

Specialization: Deep Learning, Artificial Intelligence, Computer Vision and Data Science; with application areas in Health-care (Computational pathology, Medical image analysis), Visual Surveillance in context of public security, and learning algorithms for semantic understanding of visual scene.

Research Interests

- Computer Vision, Deep Learning, Medical Image Analysis, Computational Pathology, Visual Surveillance, Human Activity Recognition, Scene / Semantic understanding, Data Science and Cognitive Computing

Research Experience

Post-Doctoral Research Fellow , Kingston University London

June 2013 - June 2014

Details: Worked on project QUARTZ (QUantitative Analysis of Retinal vessel Topology and siZe) in collaboration with St Georges University of London. The project aims to develop an automated software tool for epidemiologists to quantify and measure retinal vessels morphology and size; determine the width ratio of arteries and veins as well as the vessel tortuosity index on very large datasets, to enable them to link systemic and cardiovascular disease to the retinal vessel characteristics.
Rutherford Visiting Fellow , The Alan Turing Institute, London UK

March 2018 - Present

Details: Development of deep learning-based histopathological analytics for oral cancer detection and estimation. The aim is to develop novel deep learning methods for the analysis of whole-slide images (WSI) of oral cancer tissue slides, particularly for segmentation of tumour-rich regions in these images and quantification of important histological patterns (such as vascular invasion and perineural invasion). Accurate identification and quantification of histological patterns and tumour areas in the oral cancer WSIs are crucial for determining the cancer grade in an objective manner and for better, systematic stratification of patients for personalised treatment of cancer. This fellowship will contribute towards world-leading expertise in the area of cancer image analytics at the Turing, with health and wellbeing as the main targeted application area of the research activity.
Postdoctoral Researcher , Tissue Image Analytics Lab, The University of Warwick

March 2018 - March 2019

Details: As a member of Tissue Image Analytics Lab, He is on deep learning-based histopathological analytics for oral cancer detection, estimation, patient stratification and survival analysis. He is involved in development of novel deep learning methods for analysis of whole-slide images (WSI) of oral cancer tissue slides, particularly for segmentation of tumour-rich regions in these images and quantification of important histological patterns (such as vascular invasion and perineural invasion).
Journal

(1.) SK Rizwi, W. Aslam, M. Shahzad, S. Saleem, M.M. Fraz , "PROUD-MAL: static analysis-based progressive framework for deep unsupervised malware classification of windows portable executable", Complex & Intelligent Systems, Vol. 21 , No. 2, Oct, 2021. IF: 4.92
(2.) Syed S. A. Zaidi, M. M. Fraz, M. Shahzad , "A multiapproach generalized framework for automated solution suggestion of support tickets", International Journal of Intelligent Systems, Vol. 21 , No. 2, Sep, 2021. IF: 8.9
(3.) N. Perwaiz​, M. M. Fraz, M. Shahzad , "Stochastic attentions and context learning for person re-identification", PeerJ Computer Science, Vol. 7 , No. e447, May, 2021. IF: 3.09
(4.) SKJ Rizwi, MA Azad, M.M. Fraz , "Spectrum of Advancements and Developments in Multidisciplinary Domains for Generative Adversarial Networks (GANs)", Archives of Computational Methods in Engineering, Vol. 2021 , No. 1, Apr, 2021. IF: 6.730
(5.) I Khurram, M.M. Fraz , M Shahzad, NM Rajpoot , "Dense-CaptionNet: A Sentence Generation Architecture for Fine-Grained Description of Image Semantics", Cognitive Computing, Vol. 13 , No. 1, PP. 595-691, Mar, 2021. IF: 4.287
(6.) I. Mahmood, M. Mobeen, AU Rahman, S. Younis, AW Malik, M. M. Fraz, KafaitUllah , "Modeling, simulation and forecasting of wind power plants using agent-based approach", Journal of Cleaner Production, Vol. 276 , No. 1, Dec, 2020. IF: 7.246
(7.) S. Mehmood, M. Shahzad, M.M. Fraz , "DCARN: Deep Context Aware Recurrent Neural Network for Semantic Segmentation of Large Scale Unstructured 3D Point Cloud", Neural Processing Letters, Vol. 52 , No. 3, Oct, 2020. IF: 2.89
(8.) Sajid Javed, A. Mahmood, M. M. Fraz, , NA Koohbanani, K. Benes, Yee-Wah Tsang, K. Hewitt, D, Epstein, D. Snead, NM Rajpoot , "Cellular community detection for tissue phenotyping in colorectal cancer histology images", Medical Image Analysis, Vol. 63 , No. 1, Jul, 2020. IF: 8.88
(9.) M.A. Hashmi, Q. Riaz, M. Zeeshan M. Shahzad, M. M. Fraz , "Motion Reveal Emotions: Identifying Emotions from Human Walk Using Chest Mounted Smartphone", IEEE Sensors Journal, Vol. 2020 , No. 1, Jun, 2020. IF: 3.073
(10.) M. Haroon, M. Shahzad, M.M. Fraz , "Multi-sized Object Detection Using Spaceborne Optical Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol. 0 , No. 0, PP. , Jun, 2020. IF: 3.392
(11.) M. Shaban, R. Awan, M.M. Fraz , A. Azam, Y. Tsang, D. Snead, N.M. Rajpoot , "Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images", IEEE Transactions on Medical Imaging, Vol. 21 , No. 1, Feb, 2020. IF: 7.81
(12.) T Zaheer, AW Malik, AU Rahman, A Zahir, M. M. Fraz , "A vehicular network–based intelligent transport system for smart cities", International Journal of Distributed Sensor Networks, Vol. 10 , No. 1, Nov, 2019. IF: 1.62
(13.) M.M. Fraz , S. A. Khurran, S. Graham, M. Shaban, Asif Loya, N.M. Rajpoot , "FABnet: Feature attention based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer", Neural Computing and Applications, Vol. 20 , No. 1, Nov, 2019. IF: 4.66
(14.) M.M. Fraz , M. Badar, A.W. Malik, S. A. Barman , "Computational Methods for Exudates Detection and Macular Edema Estimation in Retinal Images: A Survey", Archives of Computational Methods in Engineering, Vol. 26 , No. 4, PP. 1193–1220, Sep, 2019. IF: 7.242
(15.) M. Shaban, S.A. Khurram, M. M. Fraz , N. Alsubaie, I. Masood, S. Mushtaq, M. Hassan, A. Loya & N. M. Rajpoot , "A Novel Digital Score for Abundance of Tumour Infiltrating Lymphocytes Predicts Disease Free Survival in Oral Squamous Cell Carcinoma", Nature Scientific Reports, Vol. 9 , No. 1, PP. 13341 (2019) , Sep, 2019. IF: 4.525
(16.) S. B. Ahmed, S. F. Ali, J. Ahmad, M. Adnan, M. M. Fraz , "On the Frontiers of Pose Invariant Face Recognition: A Review", Artificial Intelligence Review, Vol. 2019 , No. 1, PP. 1-64, Jul, 2019. IF: 5.095
(17.) S. Arshad, M. Shahzad, Q. Riaz, M. M. Fraz , "DPRNet: Deep 3D Point based Residual Network for Semantic Segmentation and Classification of 3D Point Clouds", IEEE Access, Vol. 8 , No. 1, May, 2019. IF: 4.098
(18.) S. A. Badawi and M. M. Fraz , "Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules", BioMed Research International, Vol. 2019 , No. 1, PP. 17, Apr, 2019. IF: 2.197
(19.) R M S Bashir, M Shahzad, M M Fraz , "VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture", Pattern Recognition, Vol. 90 , No. 1, PP. 52-65, Jan, 2019. IF: 5.898
(20.) Christopher G Owen, Alicja R Rudnicka, Roshan A Welikala, M. Moazam Fraz, Sarah A Barman , Robert Luben, Shabina A Hayat, Kay-Tee Khaw, David P Strachan, Peter H Whincup, Paul J Foster , "Retinal vasculometry associations with cardiometabolic risk factors in the European Prospective Investigation of Cancer Norfolk study", Ophthalmology, Vol. 126 , No. 1, PP. 96-106, Jan, 2019. IF: 7.732
(21.) N. Pervaiz, M. M. Fraz, M. Shahzad , "Person Re-Identification Using Hybrid Representation Reinforced by Metric Learning", IEEE Access, Vol. 7 , No. 1, Dec, 2018. IF: 4.098
(22.) Sufian AlBadawi, M.M. Fraz , "Optimizing the trainable B-COSFIRE filter for retinal blood vessel segmentation", PeerJ, Vol. 6 , No. 1, PP. 5855, Nov, 2018. IF: 2.353
(23.) M. N. Zahoor, M. M. Fraz , "A Correction to the Article “Fast Optic Disc Segmentation in Retina Using Polar Transform”", IEEE Access, Vol. 6 , No. 1, PP. 4845 - 4849, Jan, 2018. IF: 4.098
(24.) M. M Fraz , W. Jahangir, S. Zahid, M. M. Hamayun, S. A. Barman , "Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification", Biomedical Signal Processing and Control, Vol. 35 , No. 1, PP. 50-62, May, 2017. IF: 2.943
(25.) M. Abdullah, M.M. Fraz, S.A. Barman , "Localization and segmentation of optic disc in retinal images using Circular Hough transform and Grow Cut algorithm", PeerJ, Vol. 4 , No. 1, PP. 1-23, Apr, 2016. IF: 2.353
(26.) RA Welikala, M.M. Fraz, PJ Foster, PH Whincup, AR Rudnicka, CG Owen, DP Strachan, SA Barman , "Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies", Computers in Biology and Medicine, Vol. 71 , No. 1, PP. 67–76, Apr, 2016. IF: 2.286
(27.) M.M. Fraz , R.A. Welikala, A.R. Rudnicka, C.G. Owen, D.P. Strachan, S.A. Barman , "QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size – An automated system for quantification of retinal vessels morphology", Expert Systems with Applications, Vol. 42 , No. 20, PP. 7221, Nov, 2015. IF: 4.292
(28.) R.A. Welikala, M.M. Fraz, T.H. Williamson, S.A. Barman , , "The automated detection of proliferative diabetic retinopathy using dual ensemble classification", International Journal of Diagnostic Imaging, Vol. 2 , No. 2, PP. , Sep, 2015. IF: 0
(29.) R.A. Welikala, M.M. Fraz , J. Dehmeshki, A. Hoppe, V. Tah, S. Mann, T.H. Williamson, S.A. Barman , "Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy", Computerized Medical Imaging and Graphics, Vol. 43 , No. 7, PP. 64-77, Jul, 2015. IF: 3.298
(30.) A. Basit, M.M.Fraz , "Optic disc detection and boundary extraction in retinal images", Applied Optics, Vol. 54 , No. 11, PP. 3440-3447, Apr, 2015. IF: 1.973
(31.) M.M. Fraz , A. R. Rudnicka, C. G. Owen, S. A. Barman , "Delineation of blood vessels in paediatric retinal images using decision trees-based ensemble classification.", International journal of computer assisted radiology and surgery, Vol. 9 , No. 5, PP. 795-811, Sep, 2014. IF: 2.155
(32.) M.M. Fraz , A. Basit, S. A. Barman , "Application of Morphological Bit Planes in Retinal Blood Vessel Extraction", Journal of Digital Imaging, Vol. 26 , No. 2, PP. 274-286, Apr, 2013. IF: 2.572
(33.) M.M. Fraz , P. Remagnino, A. Hoppe, A. Rudnicka, C.G. Owen, P. H. Whincup, S.A. Barman , "Quantification of blood vessel calibre in retinal images of multi-ethnic school children using model based approach", Computerized Medical Imaging and Graphics, Vol. 37 , No. 1, PP. 48-60, Jan, 2013. IF: 3.298
(34.) M.M. Fraz , S.A. Barman, P. Remagnino, A. Hoppe, A. Basit, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen , "An approach to localize the retinal blood vessels using bit planes and centerline detection", Computer Methods and Programs in Biomedicine, Vol. 108 , No. 2, PP. 600-616, Nov, 2012. IF: 3.424
(35.) M.M. Fraz , P. Remagnino, A. Hoppe, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen, S.A. Barman , "Blood vessel segmentation methodologies in retinal images – A survey", Computer Methods and Programs in Biomedicine, Vol. 108 , No. 1, PP. 407-433, Oct, 2012. IF: 3.424
(36.) M.M. Fraz , P. Remagnino, A. Hoppe, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen, S.A. Barman , "An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation", IEEE Transactions on Biomedical Engineering, Vol. 59 , No. 9, PP. 2538-2548, Sep, 2012. IF: 4.491

Conference

(1.) N. Ahmed, S. Saha, M. Shahzad, M. M. Fraz; Xiao Xiang Zhu , "Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite Image", Proceedings of the International Conference on Computer Vision Workshops (ICCVW), Oct, 2021, Virtual , USA.
(2.) Afia Rasool, Muhammad Moazam Fraz, Sajid Javed , "Multiscale Unified Network for Simultaneous Segmentation of Nerves and Micro-vessels in Histology Images", Proceedings of the IEEE International Conference on Digital Futures and Transformative Technologies (ICoDT2), May, 2021, Islamabad , Pakistan.
(3.) G. Murtaza Dogar, Muhammad Moazam Fraz, Sajid Javed , "Feature Attention Network for Simultaneous Nuclei Instance Segmentation and Classification in Histology Images", Proceedings of the IEEE International Conference on Digital Futures and Transformative Technologies (ICoDT2), May, 2021, Islamabad , Pakistan.
(4.) Muhammad Aasharib Nawshad, Usama Aleem Shami, Sana Sajid, Muhammad Moazam Fraz , "Attention Based Residual Network for Effective Detection of COVID-19 and Viral Pneumonia", Proceedings of the IEEE International Conference on Digital Futures and Transformative Technologies (ICoDT2), May, 2021, Islamabad , Pakistan.
(5.) W Aslam, M. M. Fraz, S.K. Rizvi, S. Saleem , "Optimizing features for malware-benign clustering using Windows portable executables", Proceedings of the IEEE 2021 International Conference on Artificial Intelligence (ICAI), Apr, 2021, Islamabad , Pakistan.
(6.) S.N. Rashid, M.M. Fraz, S. Javed , "Multiscale Dilated UNet for Segmentation of Multi-Organ Nuclei in Digital Histology Images", Proceedings of the 17th IEEE International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), Dec, 2020, UNC Charlotte , USA.
(7.) W. Aslam, M. M. Fraz, S.K. Rizvi, S. Saleem , "Cross-validation of machine learning algorithms for malware detection using static features of Windows portable executables: A Comparative Study", Proceedings of the 17th IEEE International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), Dec, 2020, UNC Charlotte , USA.
(8.) U Javed, M. M. Fraz, I. Mahmood; M. Shahzad; O Arif , "Forecasting of Electricity Generation for Hydro Power Plants", Proceedings of the 17th IEEE International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), Dec, 2020, UNC Charlotte , USA.
(9.) N. Perwaiz, M.M. Fraz, M. Shahzad , "Smart Visual Surveillance: Proactive Person Re-identification instead of Impulsive Person Search", Proceedings of the 23rd IEEE International Multitopic Conference (INMIC 2020), Nov, 2020, Bahawalpur , Pakistan.
(10.) MK Yaqoob, SF Ali, I. Kareem, M. M. Fraz , "Feature-based optimized deep residual network architecture for diabetic retinopathy detection", Proceedings of the 23rd IEEE International Multitopic Conference (INMIC 2020), Nov, 2020, Bahawalpur , Pakistan.
(11.) R.M.S. Bashir, H. Mahmood, M. Shaban, SEA Raza, M. M. Fraz, , S.A. Khurram, N. M. Rajpoot , "Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images", Proceedings of the Medical Imaging 2020: Digital Pathology, Feb, 2020, Houston, Texas , USA.
(12.) N. Pervaiz, M. M. Fraz, M. Shahzad , "Hierarchical Refined Local Associations for Robust Person Re-Identification", Proceedings of the International Conference on Robotics and Automation in Industry (ICRAI), Oct, 2019, Islamabad , Pakistan.
(13.) S. Batool, M. Z. Ali ; M. Shahzad and M. M. Fraz , "End to End Person Re-Identification for Automated Visual Surveillance", Proceedings of the International Conference on Image Processing, Applications and Systems (IPAS), Dec, 2018, Sophia Antipolis , France.
(14.) W. Anser, M M Fraz, M Shahzad , , "Two Stream Deep CNN-RNN Attentive Pooling Architecture for Video-based Person Re-identification", Proceedings of the 23rd Iberoamerican Congress on Pattern Recognition, Nov, 2018, Madrid , Spain.
(15.) R M S Bashir, M Shahzad, M M Fraz , , "DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification", Proceedings of the 13th International Symposium on Visual Computing, Nov, 2018, Las Vegas , United States.
(16.) I Khurram, M M Fraz, M Shahzad , , "Detailed Sentence Generation Architecture for Image Semantics Description", Proceedings of the 13th International Symposium on Visual Computing, Nov, 2018, Las Vegas , United States.
(17.) M.M.Fraz, M.Shaban, S.Graham, S.A.Khurram, N.M.Rajpoot , , "Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images", Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention, Sep, 2018, Granada , Spain.
(18.) Sajid Javed, M.M. Fraz, David Epstein, David Snead, and Nasir M. Rajpoot , , "Cellular Community Detection for Tissue Classification", Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention, Sep, 2018, Granada , Spain.
(19.) M. Bader, M. Shahzad, M. M. Fraz , , "Simultaneous Segmentation of Multiple Retinal Pathologies Using Fully Convolutional Deep Neural Network", Proceedings of the 22nd Conference on Medical Image Understanding and Analysis 2018, Jul, 2018, Southempton , United Kingdom.
(20.) Sufian AlBadawi, M.M. Fraz , , "Arterioles and Venules Classification in Retinal Images Using Fully Convolutional Deep Neural Network", Proceedings of the 15th International Conference Image Analysis and Recognition, Jun, 2018, Póvoa de Varzim , Portugal.
(21.) Naima Mubariz, Saba Mumtaz, M. M. Hamayun and M. M. Fraz , , "Optimization of Person Re-Identification through Visual Descriptors", Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Jan, 2018, Funchal, Madeira , Portugal.
(22.) S. Mumtaz, N. Mubariz , S. Saleem, M. M. Fraz , , "Weighted hybrid features for person re-identification", Proceedings of the 7th International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017 , Dec, 2017, Montreal, QC , Canada.
(23.) M. Abdullah and M. M. Fraz , , "Application of grow cut algorithm for localization and extraction of optic disc in retinal images", Proceedings of the 12th International Conference on High-capacity Optical Networks and Enabling/Emerging Technologies (HONET), Dec, 2015, Islamabad , Pakistan.
(24.) RA Welikala, MM Fraz, S Hayat, AR Rudnicka, PJ Foster, PH Whincup, CG Owen, DP Strachan, SA Barman , , "Automated retinal vessel recognition and measurements on large datasets", Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Aug, 2015, Milan , Italy.
(25.) M.M. Fraz , A.R. Rudnicka, C.G. Owen, D.P. Strachan, S.A. Barman , "Automated Arteriole and Venule Recognition in Retinal Images using Ensemble Classification", Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAAP), Jan, 2014, Lisbon , Portugal.
(26.) M.M. Fraz , P. Remagnino, A. Hoppe, S.A. Barman , "Retinal image analysis aimed at extraction of vascular structure using linear discriminant classifier", Proceedings of the IEEE International Conference on Computer Medical Applications ICCMA' 2013 , Jan, 2013, Sousse , Tunisia.
(27.) M.M. Fraz , P. Remagnino, A. Hoppe, A. Rudnicka, C.G. Owen, P. H. Whincup, S.A. Barman , "A model based approach for vessel calibre measurement in retinal images", Proceedings of the 8th International Conference on Signal Image Technology & Internet Based Systems (SITIS), Nov, 2012, Sorrento , Italy.
(28.) M.M. Fraz , P. Remagnino, A. Hoppe, B. Uyyanonvara, A. Rudnicka, C.G. Owen, S.A. Barman , "Retinal vessel segmentation using ensemble classifier of bagged decision trees", Proceedings of the IET Conference on Image Processing , Jul, 2012, London , United Kingdom.
(29.) M.M. Fraz , P. Remagnino, A. Hoppe, S. Velastin, B. Uyyanonvara, S.A. Barman , "A Supervised Method for Retinal Blood Vessel Segmentation Using Line Strength, Multiscale Gabor and Morphological Features", Proceedings of the IEEE International Conference on Signal & Image Processing Applications, Nov, 2011, Kuala Lumpur , Malaysia.
(30.) M.M. Fraz , A. Basit, P. Remagnino, A. Hoppe, S.A. Barman , "Retinal vasculature segmentation by morphological curvature, reconstruction and adapted hysteresis thresholding", Proceedings of the 7th International Conference on Emerging Technologies (ICET 2011) , Sep, 2011, Islamabad , Pakistan.
(31.) M.M. Fraz , M.Y. Javed, A. Basit , "Evaluation of Retinal Vessel Segmentation Methodologies Based on Combination of Vessel Centerlines and Morphological Processing", Proceedings of the 4th IEEE International Conference on Emerging Technologies (ICET 2008), Oct, 2008, Islamabad , Pakistan.
(32.) M.M. Fraz , M.Y. Javed, A. Basit , "Retinal Vessels Extraction Using Bitplanes", Proceedings of the 8th IASTED International Conference on Visualization, Imaging, and Image Processing, Sep, 2008, Palma De Mallorca , Spain.
(33.) A. Ahmed, M.M. Fraz, F.A. Zahid , , "Some results of experimentation with extreme programming paradigm", Proceedings of the 7th International Multi Topic Conference (INMIC 2003), Dec, 2003, Islamabad , Pakistan.
(34.) M.A. Jan, F.A. Zahid, M.M. Fraz, Arshad Ali , , "Exploiting peer group concept for adaptive and highly available services", Proceedings of the Computing in High Energy and Nuclear Physics (CHEP 03), Mar, 2003, La Jolla California , United States.

Book/Chapter

(1.) [Chapter] M.M. Fraz , S.A. Barman , "Image Analysis and Modelling in Ophthalmology / Computer vision algorithms applied to retinal vessel segmentation and quantification of vessel calibre", CRC Press Tayler and Francis CRC Press Tayler and Francis, ISBSN 978-1-4665-5938, Feb 2014.
(2.) [Chapter] M.M. Fraz , S.A. Barman , "Image Analysis and Modelling in Ophthalmology / Ensemble classification applied to retinal blood vessel segmentation: Theory and Implementation", CRC Press Tayler and Francis CRC Press Tayler and Francis, ISBSN 978-1-4665-5938-7, Feb 2014.
(3.) [Chapter] M.M. Fraz , P. Remagnino, A. Hoppe, B. Uyyanonvara, A. Rudnicka, C. Owen, S. Barman , "Image Analysis and Recognition / Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles", Springer Berlin / Heidelberg Springer Berlin / Heidelberg, ISBSN , Jul 2012.
(4.) [Chapter] M.M. Fraz , P. Remagnino, A. Hoppe, B. Uyyanonvara, A. Rudnicka, C. Owen, S. Barman , "Advances in Visual Computing / Retinal Vessel Extraction Using First-Order Derivative of Gaussian and Morphological Processing", Springer Berlin / Heidelberg Springer Berlin / Heidelberg, ISBSN , Nov 2011.

Assistant Professor , National University of Sciences and Technology (NUST), Islamabad, Pakistan
June 2014 - August 2019

Details:

Associate Professor , National University of Sciences and Technology (NUST), Islamabad, Pakistan
August 2019 - Present

Details:


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Cources Taught at NUST SEECS

  • CS893 Advanced Computer Vision (PG) : Spring 2020
  • CS474 Computer Vision (UG) : Spring 2017, Spring 2020
  • CS867 Computer Vision (PG) : Fall 2019
  • CS878 Deep Learning (PG) : Summer 2019
  • CS812 Object Oriented Analysis & Design (PG) : Fall 2019
  • CS470 Machine Learning (UG) : Spring 2018
  • CS812 Advanced Image Processing (PG) : Spring 2016, Spring 2017
  • EE433 Digital Image Processing (UG) : Fall 2016, Fall 2017
  • SE430 Software Project Management (UG) : Fall 2015
  • SE312 Software Construction (UG) : Spring 2015
  • SE200 Software Engineering (UG) : Fall 2014
  • SE820 Software Quality Engineering (PG) : Summer 2014
Software Engineer / Senior Software Engineer / Principal Software Engineer , Elixir Technologies
August 2003 - March 2010

Details: During my stay at elixir, my responsibilities includes design, development, implementation, maintenance, release process management, project roll-outs, troubleshooting and project management of the Elixir's software products OPUS and TANGO. I had been primarily involved in end-to-end product development and maintenance life cycle; using various development tool and methodologies

Program Manager , Machsol Pakistan
March 2010 - June 2010

Details: MachSol Pakistan (www.machsol.com) is a leading developer of SaaS enabled hosted service delivery platform and web hosting control panel named as MachPanel. Responsibilities:I was responsible for creating and smooth execution of project work plans. Management of day-to-day operational aspects of the product and scope. Coordination between designers, programmers, service providers and the clients. Responsible for planning and executing the strategic growth and development of the organization.