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Naeem Ramzan

Professor at 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 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).

Visit website: https://www.uws.ac.uk/staff-directory/naeem-ramzan/

 naeem-ramzan-97685218

See also: Academia University of the West of Scotland (UWS) - Public research university in Paisley, Scotland.

Details last updated 07-Nov-2022

Naeem Ramzan News

AI tool could detect lung disease in minutes using X-ray images

AI tool could detect lung disease in minutes using X-ray images

Independent - 07-Nov-2022

Technology that can help detect various diseases quickly and accurately reduces staff time