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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


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 Sep 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

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2009 2019

An FPGA implementation of the matching pursuit algorithm for a compressed sensing enabled e-health monitoring platform

Kerdjidj , O., Amira, A., Ghanem, K., Ramzan, N., Katsigiannis, S. & Chouireb, F. 11 Apr 2019 In : Microprocessors and Microsystems. 67, p. 131-139 9 p.

Research output: Contribution to journalArticle

Compressed sensing
Field programmable gate arrays (FPGA)
Data compression
Open Access
Virtual reality

Fall detection and human activity classification using wearable sensors and compressed sensing

Kerdjidj , O., Ramzan, N., Ghanem, K., Amira, A. & Chouireb, F. 31 Jan 2019 In : Journal of Ambient Intelligence and Humanized Computing. p. 1-13 13 p.

Research output: Contribution to journalArticle

Compressed sensing
Energy utilization

AI for emerging verticals: human-robot computing, sensing and networking

Shakir, M. Z. & Ramzan, N. 23 Oct 2018 (In preparation) IET.

Research output: Book/ReportBook

Artificial intelligence
Learning systems

ANN design and implementation for real-time object tracking using quadrotor AR.Drone 2.0

BOUDJIT, K. A. M. E. L., LARBES, C. & Ramzan, N. 30 Aug 2018 In : Journal of Experimental & Theoretical Artificial Intelligence. 22 p.

Research output: Contribution to journalArticle

Unmanned aerial vehicles (UAV)
Neural networks
Intelligent control
Multilayer neural networks
Target tracking

Activities 2016 2016

  • 2 Types of Business and Community - Membership of public/government advisory/policy group or panel

Co-chair of Visually Lossless Quality Analysis (VLQA) group

Ramzan, N. (Member)
2016 → …

Activity: Types of Business and Community - Membership of public/government advisory/policy group or panel

Co-chair of The Psycho-Physiological Quality Assessment (PsyPhyQA)

Ramzan, N. (Member)
2016 → …

Activity: Types of Business and Community - Membership of public/government advisory/policy group or panel


physiological responses
Intelligent systems
machine learning
Learning systems
Learning systems
Video streaming
Learning systems