Personal profile

Area of academic expertise - outline

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).


Current research activities

Recently funded project as Lead Principal Investigastor in 2015 are:

  • UK-Algeria Grant for Advanced Research and Knowledge Exchange, 2016-2018 (€160,000)
  • KTP project (KT/9926): “Agile Computer Vision Solution for Smart Devices”, 2015-2017 (£150,000)
  • Competitive PhD studentship: “Emotion Recongnition by Physiological Signals”, 2016-2019 (£60,000)
  • Post doctoral Researcher fellow funding, 2016-2018 (£80,000)
  • KTP project with Jabel, 2016 (£13,800)

In addition, Dr Ramzan has investigated several national and international projects funded by EC (namely PetaMedia, aceMedia, SARACEN, 3DLife, nextMedia, and CUBRIK). He is involved in different Knowledge Transfer Project (KTP) with industries (Codeplay, VisualComm, Venakamedia) and charities.

Target collaborative companies

Digital Media 


Smart environment

Target collaborative organisations

In the field of visual communication, I would like to collaborate with

International standardisation bodies,

Innovation centres,

Research centres 


Desired research direction


Smart environment


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

External positions

Co-chair of Psycho-Physiological Quality Assessment (PsyPhyQA), VQEG (Video Quality Expert Group)

25 Feb 2016 → …

External examiner, Kingston University London

15 Mar 201514 Mar 2018

co-Editor-in-chief of VQEG E-Letter, VQEG (Video Quality Expert Group)

24 Feb 2014 → …

Co-chair of Ultra High Definition (UltraHD) group, VQEG (Video Quality Expert Group)

23 Sept 2013 → …


  • QA75 Electronic computers. Computer science
  • Multimedia Signal ProcessingNetworked Media ApplicationsMulti-modal Human Computer InterfacesConnected HealthMultimedia search and RetrievalSocial Media DistributionQuality of Experience of 2D/3D videosComputer VisionSurveillance centric processing


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Collaborations and top research areas from the last five years

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