Electronics Engineering

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 90 papers in refereed reputed journals (IEEE Transactions on CSVT, Multimedia, 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).

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1. Mohd. Tausif, Abhinandan Jain, Ekram Khan and Mohd. Hasan, “Low Memory Architectures of Fractional Wavelet Filter for low-cost Visual Sensors and Wearable Devices”, Accepted for publication in IEEE Sensors Journal (Available as an early access), pp. 1-9, July 2019.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.