Muhammad Sajjad received the master’s degree from the Department of Computer Science, College of Signals, National University of Sciences and Technology, Rawalpindi, Pakistan in 2012, and the Ph.D. degree in digital contents from Sejong University, Seoul, South Korea in 2015. He is currently working as an ERCIM Research Fellow at NTNU, Norway. He is an Associate Professor with the Department of Computer Science, Islamia College University Peshawar, Pakistan. He is also the Head of the Digital Image Processing Laboratory with Islamia College University Peshawar, where many students are involved in different research projects under his supervision, such as Big data analytics, medical image analysis, multi-modal data mining and summarization, image/video prioritization and ranking, fog computing, the Internet of Things, autonomous navigation, and video analytics. His primary research interests include computer vision, image understanding, pattern recognition, robotic vision, and multimedia applications, with current emphasis on economical hardware and deep learning, video scene understanding, activity analysis, fog computing, the Internet of Things, and real-time tracking. He has published more than 65 papers in peer-reviewed international journals and conferences. He is serving as a professional reviewer for various well-reputed journals and conferences. Currently, he is the associate editor at IEEE Access and acting as a guest editor at IEEE Transactions on Intelligent Transportation Systems
Gjøvik, Norway
ERCIM Research Fellow
NTNU
Color and Visual Computing Lab at the Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), 2815 Gjøvik, Norway