
Professor Naeem Ramzan is full Professor of Artificial Intelligence and the Director of the Affective and Human Computing for Smart Environment (AHCSE) Research Centre, University of the West of Scotland (UWS), U.K.
He received the M.Sc. degree in telecommunications from the University of Brest, France, in 2004, and the Ph.D. degree in electronics engineering from the Queen Mary University of London, London, U.K., in 2008.
He has authored or co-authored more than 200 research publications, including journals, book chapters, and standardisation contributions. He has authored a book and co-edited some books as well. His research interests are cross-disciplinary and industry focused and include AI/machine learning, affective computing and multimedia processing, analysis and communication, video quality evaluation, brain-inspired multi-modal cognitive technology, big data analytics, affective computing, the IoT/smart environments, natural multi-modal human–computer interaction, and eHealth/connected Health. Prof Ramzan’s article was awarded the Best Paper Award 2017 of the IEEE Transactions on Circuits and Systems for Video Technology and number of conference papers were selected for the Best Student Paper Award.
He has been a Lead Researcher in various nationally or EU sponsored multimillion funded international research projects (total funding as PI secured over £20m). He has been awarded the Scottish Knowledge Exchange Champion Award 2020 and numerous other awards, such as Staff Appreciation and Recognition Scheme (STARS) Award for Leadership in 2019 and awarded STARS award 2015 and 2017 for Outstanding Research and Knowledge Exchange (the University of the West of Scotland) and Awarded Contribution Reward Scheme 2011 and 2009 for outstanding research and teaching activities (the Queen Mary University of London). He is, a senior member of IEEE, a Senior Fellow of the Higher Education Academy (HEA), the 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 the Co-Chair of the Ultra High Definition (UltraHD) Group, the Co-Chair of the Visually Lossless Quality Analysis (VLQA) Group, and the Co-Chair of the Psycho-Physiological Quality Assessment (PsyPhyQA). He is also the Co-Editor-in-Chief of VQEG eLetter. He has served as a Guest Editor for a number of journals. He is also a Founding Associate Editor of Journal of Quality and User Experience (Springer) and an Associate Editor of number of Journals. He has chaired/co-chaired/organised more than 25 workshops, special sessions, and tracks in international conferences.
Talk
Physiological signal processing for human-centric applications