Department of Computing
School of Electrical Engineering and Computer Science (SEECS)
National University of Sciences and Technology (NUST)
NUST Campus H-12, Islamabad
PhD - Radar Remote Sensing, 3-D Computer Vision & Image Analysis, Point Cloud Processing - Technical University of Munich (TUM), Germany - Germany - 2016
Dr. Muhammad Shahzad received B.E. degree in electrical engineering from the National University of Sciences and Technology, Islamabad, Pakistan, M.Sc. degree in autonomous systems (robotics) from the Bonn Rhein Sieg University of Applied Sciences, Sankt Augustin, Germany, and his PhD degree on radar remote sensing & image anaylsis at the department of Signal Processing in Earth Observation (SiPEO), Technische Universität München (TUM), Munich, Germany in 2004, 2011 and 2016 respectively. His Phd topic was automatic 3-D reconstruction of objects from point clouds retrieved from spaceborne synthetic-aperture-radar (SAR) image stacks. During his PhD, he proposed several novel and sophisticated methodologies and achieved several “firsts” in the international community, e.g. the first façade models from interferometric SAR (InSAR) data, its first reconstruction of an entire city, the first 2D building footprint models from InSAR and the first reconstruction of even individual trees. His work was closely linked to the TerraSAR-X and TanDEM-X satellite missions, the biggest German Earth observation endeavors ever, with both scientific as well as commercial applications. Besides, he also attended twice two weeks professional thermography training course at Infrared Training Center (ITC), North Billerica, Massachusetts and Portland, Oregon, USA in 2005 and 2007 respectively. Moreover, he worked as a Visiting Research Scholar at the Institute for Computer Graphics and Vision, Technical University of Graz, Austria in 2015/16. Since 2016, he has been working as an Assistant Professor at the School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad. Furthermore, he is also a Co-Principal Investigator of recently established Deep Learning Laboratory (DLL) under the umbrella of National Center of Articial Intelligence (NCAI), Islamabad. His research interests include application of deep learning for processing unstructured/structured 3-D point clouds, optical RGBD data, and very high-resolution radar images.
Synthetic Aperture Radar Image Processing, 3-D Point Cloud Processing, Object Reconstruction, Artifical Intelligence & Machine (Deep) Learning Applied To Digital Images, Image Analysis, Object Detection & Recognition, Remote Sensing and Satellite Image Processing.
December 2011 - February 2016
November 2004 - August 2008
CS370 Artificial Intelligence (3+1)
CS250 Data Structures & Algorithms (3+1)
EE433 Digital Image Processing (3+1)
CS474 Computer Vision (2+1)
CS878 Deep Learning (3+0)
CS862 Advanced Image Processing (3+0)
RM898 Research Methodology (2+0)