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Professor of Computing Engineering, University of the West of Scotland

Prof Naeem Ramzan is a Full Professor of Computing Engineering and Chair of Affective and Human Computing for Smart Environment Research Centre and Co-lead Visual Communication Cluster in AVCN at UWS. He is currently focused on leading high quality interdisciplinary research and teaching in the area of video processing, analysis and communication, multimedia search and retrieval, video quality evaluation, brain-inspired multi-modal cognitive technology, multi-modal human-computer interfaces, DNA computing, fall detection, big data analytics, affective computing, IoT/smart environments, natural multi-modal human computer interaction, and eHealth/connected Health.

He received his M.Sc. degree in telecommunication from University of Brest, France, in 2004 and his Ph.D. degree in electronics engineering from Queen Mary University of London, London, U.K., in 2008. Before joining UWS, he was a senior research fellow and lecturer at Queen Mary University of London from 2008 to 2012.

He is, a senior member of the IEEE, Fellow of Higher Education Academy (HEA), co-chair of MPEG HEVC verification (AHG5) group and a voting member of the British Standard Institution (BSI). In addition, he holds key roles in the Video Quality Expert Group (VQEG) such as Co-chair of the Ultra High Definition (UltraHD) group; Co-chair of the Visually Lossless Quality Analysis (VLQA) group; and Co-chair of the Psycho-Physiological Quality Assessment (PsyPhyQA). He has published more than 90 articles in journals, conferences, book chapters including standard contributions.

He has been awarded a STARS (Staff Appreciation and Recognition Scheme) award for 2014 and 2016 for “Outstanding Research and Knowledge Exchange” (University of the West of Scotland) and awarded Contribution Reward Scheme 2011 and 2009 for “Outstanding Research and Teaching Activities” (Queen Mary University of London).


  • –present
    Professor of Computing Engineering, University of the West of Scotland