Prof. Ekram Khan

    M.Sc. Engg.,Ph. D.




    Communication Systems, Signal Processing, Image/Video Coding, Biomedical Image Processing, Image/Video Transmission


    A/B-34, Medical Colony, AMU Aligarh, 202002





    Time Table of Odd Semester 2022-23


Ekram Khan obtained his Ph. D degree in Electronics Engineering in the area of Image/Video Coding and Transmission from University of Essex, Colchester (U.K.) in 2003. He has joined the Department of Electronics Engineering, AMU Aligarh as a Lecturer in 1993, promoted to reader in 2003 and is currently working as a Professor since March 2009. 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 120 papers in refereed reputed journals (IEEE Transactions on CSVT, Multimedia, Broadcasting, IET Image Processing, IET Communications, IET Electronics Letters, etc) and international conference proceedings. His areas of research are low complexity image/video coding, video transmission over wireless networks, video streaming and bio-medical image processing. He has received a research award from IBM J. T. Watson research lab, USA for the best disruptive idea during 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-investigator of a short-term project funded by Office of Communication (Ofcom), UK and worked in collaboration with researchers at University of Essex, UK. He was the principal investigator of a successfully completed AICTE (India) funded project (2006-2008). He has spends summers of 2005 and 2006 as academic visitor to University of Essex (funded by Royal Society, UK). He has delivered many invited talks at national and international levels. He is a senior member of IEEE (USA), life member of IETE (India) and life member of SSI (India).

  1. Mohd. Rafi Lone and Ekram Khan, “Low-Complexity Block Tree Image Coder (LCBTC) for Visual Sensor Networks”, IET Image Processing, Vol. 14, Issue: 16, pp. 4258 –4268, Dec. 2020.
  2. Mohd. Tausif, Abhinandan Jain, Ekram Khan and Mohd. Hasan, “Low Memory Architectures of Fractional Wavelet Filter for low-cost Visual Sensors and Wearable Devices”, IEEE Sensors Journal, Vol. 20, Issue 13, pp. 6863 – 6871, July 2020.
  3. Mohd. Tausif, Abhinandan Jain, Ekram Khan and Mohd. Hasan, “Memory-efficient architecture for FrWF-based DWT of high-resolution images for IoMT applications”, Accepted for Publication in Multimedia Tools and Applications (Springer’s Journal), DOI: 10
  4. Mohd. Farhan Khan, Ekram Khan, M. M. Nofal and M. Mursaleen, “Fuzzy Mapped Histogram Equalization Method for Contrast Enhancement of Remotely Sensed Images”, IEEE Access, Vol. 8, pp. 112454 – 112461, July 2020.
  1. Publication

                                              Google Scholar page   

    1. Mohd. Tausif, Ekram Khan, Mohd. Hasan and Martin Resslein, “SMFrWF: Segmented Modified Fractional Wavelet Filter: Fast Low-Memory Discrete Wavelet Transform (DWT)”, IEEE Access, Vol. 7, pp. 84448-84467, 2019.

    2. Zeeshan Akhtar and Ekram Khan, "Revealing the Traces of Histogram Equalization in Digital Images", IET Image Processing, Vol. 12, No. 5, pp. 760-768, May 2018.

    3. Mohd. Ayyub Khan, Athar Ali Moinuddin, Ekram Khan and Mohammed Ghanbari, “Optimized Cross-Layered Unequal Error Protection for SPIHT Coded Wireless Video Transmission", IEEE Transaction on Broadcasting, Vol. 62, No. 4, pp. 876-889, December 2016.

    4. Naimur Rahman Kidwai, Ekram Khan and Martin Resslein, “ A Fast and Memory-less Image Coder for Multimedia Sensor Networks”, IEEE Sensors Journal, Vol. 16, No. 08, pp. 2575-2587, April 2016.

    5. Mohd. Tausif, Naimur Rahman Kidwai, Ekram Khan and Martin Resslein, “FrWF-based LMBTC: Memory Efficient Image Coding for Visual Sensors”, IEEE Sensors Journal, Vol. 15, No. 11, pp. 6218-6228, November 2015.

    6. Mohd. Farhan Khan, Ekram Khan and Z. A. Abbasi, “Segment Dependent Dynamic Multi-Histogram Equalization for Image Contrast Enhancement”, Digital Signal Processing (Elsevier Science Journal), Vol. 24, No. 2, pp. 198-223, February 2014.

    7. Mohd. Ayyub Khan, Athar Ali Moinuddin, Ekram Khan and Mohammed Ghanbari, “Reliable Transmission of Wavelet-based Scalable Video over Wireless Networks Using Cross-Layer Approach,” IET Communication, Vol. 4, No. 11, pp. 1325-1336, July 2010