Professor
Aligarh Muslim University, India
Prof. Ekram Khan from Aligarh Muslim University, Aligarh, India obtained his Ph. D degree in Electronics Engineering in the area of Image/Video Coding from University of Essex, Colchester (U.K.) in 2003. Prior to that, he obtained his B.Sc. Engineering (Electronics), M. Sc. Engineering (Electronics) from Aligarh Muslim University, Aligarh in 1991 and 1994 respectively. He has joined the Department of Electronics Engineering, AMU Aligarh as a Lecturer in July 1993, and is currently working as a Professor since March 2009. He has served as the Chairman of the department from October 2021 to October 2024. He was a recipient of the prestigious Commonwealth Scholarship (1999-2002) to pursue his Ph. D. from University of Essex, UK. He has authored and co-authored over 145 papers in refereed reputed, mostly in SCI-indexed journals and International Conference proceedings. His areas of research are applications of AI/ML in image/video/signal processing, Image Segmentation, Quantum Image Encryption, low complexity and low-memory image/video coding, video transmission over wireless networks, and bio-medical image processing. He has delivered many invited talks at national and international levels.
He has received a research award from IBM J. T. Watson research lab, USA for the best disruptive idea in ICME-2002. During his stay at Essex, UK, he was involved with a European Union project (the MELISA project) examining segmentation and tracking of players in football match videos. He was one of the co-investigators of a short-term project funded by Office of Communication (Ofcom), UK and worked in collaboration with researchers at University of Essex, UK. He has successfully completed a number of research projects funded by various Government agencies. He has received prestigious Prof. G. K. Dubey memorial award 2021 for his services to IEEE UP Section. He is a Senior Member of IEEE (USA), life member of IETE (India) and SSI (India).
IC-01: Segmentation of Images: Automated vs Semi-Automated
Thursday, October 30, 2025
16:17 - 16:32 GMT+0