Personal profile
Area of academic expertise - outline
Prof Naem Ramzan is a Full Professor of AI and Computer Engineering at the University of the West of Scotland (UWS) and Director of the Artificial Intelligence, Virtual Communication and Network (AVCN) institute and Chair of Affective and Human Computing for Smart Environment (AHCSE) Research Group.
He is, a Fellow of Royal Society of Edinburgh (FRSE), senior member of the IEEE, Senior Fellow of Higher Education Academy (SHEA), 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).
With over two and half decades of international academic, research labs and industry experience, his high-quality interdisciplinary research and teaching mainly focuses on Generative AI and AI/machine learning, multimedia search and retrieval, video quality evaluation, brain-inspired multi-modal cognitive technology, multi-modal human-computer interfaces, big data analytics, affective computing, IoT/smart environments, and Digital Health/connected Health.
He has secured over £25 million in research funding from European Commission including Erasmus+, UK Research and Innovation, British Council, Qatar National Research Fund, National Institute for Health and Care Research (NIHR), Scottish Government and over £5 million in knowledge exchange partnerships from Innovate UK.
His pioneering research not only helped to secure funding but also is recognised at different forums like Best Paper award 2017 in IEEE Transaction in Circuit and System for Video Technology for "Video Quality Evaluation Methodology and Verification Testing of HEVC Compression Performance". Three of his students were given best student paper awards in conferences during 2019-2022. In addition, he was awarded Scottish Knowledge Exchange Champion award in 2023 and 2020 by Interface. He is the winner of STARS (Staff Appreciation and Recognition Scheme) Award of Leadership in 2019 and STARS Award for “Outstanding Research and Knowledge Exchange” in 2015 and 2017 in UWS and awarded Contribution Reward Scheme 2009 and 2011 for outstanding research and teaching activities at Queen Mary University of London.
Professor Ramzan has led an international patent and authored/co-authored more than 250 publications including over 150 papers in peer-reviewed journals, 5 co-authored Books/monographs & 30+ Book chapters to date.
He has supervised over 50 Post doc researcher and PhD students to completion to-date as Principal Supervisor/Director of Studies. Currently supervising 6 in AI, NLP and healthcare informatics.
Apart from the research work at UWS, he led a team of young and enthusiastic lecturers to develop a highly innovative and successful portfolio of post graduate studies including MSc Advanced Computing, MSc Big Data, MSc IoT, MSc eHealth.
Current Expertise
- Remote Health Monitoring: Remote montiring, predictive analysis of diseases, smart maternity health, sensors (wired or wireless) and radars for health monitoring .
- Generative AI and AI/Deep Learning: Advanced data analytics, achine/deep learning and Large Language Models (LLMs) for different applications
- Affective Computing for Smart Environment: AR/VR, Internet of things (IoT) and applications
Current research activities
Principal Investigator/co-Investigator on several national/international projects and funding secured on these projects is more than £25 Million. Recently, I secured £7 Million in last five years.
Representative Funding secured in recent past:
|
Funding body |
Project |
Role |
Duration |
Funding |
|
Innovate UK |
Lochlie project: AI automation for construction management |
P! |
2025-2028 |
£325,043 |
|
Innovate UK |
KTP Project: Booth Welsh – AI automation for control engineering |
Co-I |
2025-2028 |
£320,863 |
|
NIHR |
Warning system for Extreme weather events, Awareness Technology for Healthcare, Equitable delivery, and Resilience (WEATHER) |
Co-I |
2024-2028 |
£2.2m |
|
Innovate UK |
Kooltech – AI automation and predictive maintenance |
Co-I |
2025-2028 |
£322,233 |
|
British Council |
AI and IoT enabled environment monitoring |
Co-PI |
2023-2024 |
£67,000 |
|
UKRI _Innovate UK |
# 10063452 To embed e-learning evaluation framework knowledge, and validating learning outcomes |
PI |
2023-2025 |
£217,837 |
|
Innovate UK |
# 10070725 To embed business process management expertise to streamline, automate and enhance business critical systems and processes |
Co-I |
2023-2026 |
£214.646 |
|
Innovate UK |
# KTP104738 Streamlining the Cinema content creation process using machine learning and automation |
PI |
2022-2025 |
£233,305 |
|
Spanish Ministry of Science and Innovation |
HUMan-centered Assisted Intelligent Dynamic systems (HUManAID) |
Co-I |
2022-2025 |
€136,505 |
|
Innovate UK |
# KTP12493 Enhance event operations and incident management through application of artificial intelligence knowledge and expertise |
PI |
2022-2025 |
£232,845 |
|
QNRF, Qatar |
mmW-based Future Dense Networks with UAV Backhauling: Channel Characterization, Performance Optimization, and AI-driven Enhancement |
Co-PI |
2021-2024 |
$599,961 |
|
Innovate UK |
# 1026620 Develop an advanced remote health monitoring and behavioural analysis solution utilising machine vision and artificial intelligence |
PI |
2021-2025 |
£261,418 |
|
Scottish Funding Council |
AI enabled Social Distancing App - Stay Safe Scotland |
Co-I |
2021 |
£20,000 |
|
ErasmusPlus |
Sensing, Artificial Intelligence, Edge networking towards Rural Health Monitoring |
PI |
2020-2023 |
€680,345 |
|
Innovate UK |
# 1026116 Apply machine learning and advanced data analytics expertise in order to develop a diagnostic and prognostic capability for advanced water leak detection |
PI |
2020-2023 |
£262,083 |
|
Innovate UK |
# 1026166 Develop the next generation of automated surveillance system to enhance security & public safety. |
PI |
2020-2023 |
£269,072 |
|
EU Erasmusplus |
UK-Algeria-Morocco PhD student mobility for Advanced Research and Knowledge |
PI |
2020-2022 |
€270,000 |
|
Innovate UK |
#1025846 Apply Deep learning to asset integrity management within the Oil and Gas sector, reducing risk and improving operational efficiency. |
PI |
2019-2022 |
£278,821 |
|
ErasmusPlus |
ATHIKA “Advanced Technologies in Health Innovation” |
PI |
2019-2022 |
£890,000 |
|
Innovate UK |
#1025770 Apply artificial intelligence, virtualisation technology to develop the next generation of automated facilities management solutions. |
Co-PI |
2019-2022 |
£265,621 |
|
Innovate UK |
#1025521 Develop an automated safeguarding platform to prevent misuse of collaborative platforms used within the education sector. |
PI |
2019-2022 |
£225,000 |
|
Innovate UK |
#1025689 Apply deep learning and establish a predictive framework for establishing building "health" within commercial and social housing environments |
Co-PI |
2019-2022 |
£184,332 |
|
Innovate UK |
KTP project with MODO “Develop the next generation of digital content management platform” |
PI |
2018-2020 |
£185,000 |
|
MPEG/JVT |
QoE of latest codec HEVC |
PI |
2018-2020 |
$30,000 |
|
VP fund (<5% acceptance rate) |
Affective and Human Computing for Smart Environment Research Centre |
PI |
2017-2022 |
£400,000 |
|
Innovate UK |
KTP project (KT/10568) |
PI |
2018-2021 |
£255,000 |
|
DHI Innovation Centre |
Scholarships for eHealth students |
PI |
2017-2018 |
£32,000 |
|
Loretto Care |
First Through the Door |
PI |
2017-18 |
£10,000 |
|
Construction Scotland |
Emotion Gym |
PI |
2016-2017 |
£50,000 |
|
The Data Lab Innovation Centre |
Scholarships for 12 studentships for Big Data each year (for 2 years) |
PI |
2016-2018 |
£144,000 |
|
Wheatley Group |
Emotion Driven Gymnasium |
PI |
2016-2017 |
£12,600 |
|
E & C |
Post-doctoral award |
PI |
2016-2018 |
£67,000 |
|
Jabil Circuit Limited |
Hardware Controller Proposal |
Co-PI |
2016-2017 |
£13,700 |
|
NVidia |
Multiple Deep CNNs for Content-based Image Retrieval |
PI |
2016-2017 |
£7,000 |
|
EU Erasmusplus |
UK-Algeria PhD student mobility for Advanced Research and Knowledge |
PI |
2016-2018 |
€160,000 |
|
Innovate UK |
KTP project (KT/9926): “Agile Computer Vision Solution for Smart Devices” |
PI |
2015-2017 |
£140,000 |
|
UWS |
Competitive PhD studentship: “Emotion Recognition by Physiological Signals” |
PI |
2015-2018 |
£60,000 |
|
Erasmus Mundus |
SmartLink: South-East-West Mobility for Advanced Research, Learning, Innovation, Network and Knowledge |
Co-I |
2014-2017 |
€695,000 |
|
Erasmus Mundus |
gLINK: Sustainable Green Economies through Learning, Innovation, Networking and Knowledge Exchange |
Co-I |
2014-2017 |
€245,000 |
Target collaborative companies
I am very interested to catch up and collaborate with companies (National / Intenrational) in the arreas of:
- AI/ GenAI
- Digial Health
- Digital Media
- Smart environment
- Affective computing
Target collaborative organisations
I would like to collaborate with different national and international reseach centres or bodies in the field of AI, visual communication, and digital health,
- Research centres (National/International)
- Innovation centres,
- Govt. bodies including different ministries and local councils
- Health and and social welfare bodies
- International standardisation bodies
External positions
World's Top 2% Scientists, Stanford University and Elsevier
2024 → …
Fellow of , Royal Society of Edinburgh
2023 → …
Advisor, Member of Scottish Parliament Framework Agreement Covid-19 Pandemic to provide expert advice on the impact of Covid-19 on digital infrastructure, energy, education and healthcare
2020 → 2024
Co-chair of Psycho-Physiological Quality Assessment (PsyPhyQA), VQEG (Video Quality Expert Group)
25 Feb 2016 → …
External examiner, Kingston University London
15 Mar 2015 → 14 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 → …
Keywords
- 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
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 -
SDG 4 Quality Education -
SDG 6 Clean Water and Sanitation -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action
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Collaborations and top research areas from the last five years
-
A multimodal dataset of harmful simulated behaviours in high-risk clinical settings using radar
Tilbury, B., Arevalillo-Herráez, M. & Ramzan, N., 13 Mar 2026, (E-pub ahead of print) In: Scientific Data. 13, 669.Research output: Contribution to journal › Article › peer-review
Open Access -
A unified machine learning framework for gestational diabetes mellitus diagnosis
Hassan, A., Ahmad, S. G., Munir, E. U., Rabah, H., Jovanovic, S. & Ramzan, N., 31 Mar 2026, In: Discover Applied Sciences. 8, 3, 313.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Gastrointestinal endoscopic image classification using a hybrid modified Inception network and a customized vision transformer with tree growth feature selection
Rauf, R., Ijaz, S., Ahmad, S. G., Munir, E. U. & Ramzan, N., 22 May 2026, (Accepted/In press) In: Scientific Reports.Research output: Contribution to journal › Article › peer-review
Open Access -
HOPE-C: a dataset for high-risk observation and prevention evaluation using channel state information
Tilbury, B., Arevalillo-Herráez, M. & Ramzan, N., 2026, In: IEEE Transactions on Cognitive Communications and Networking. 12, p. 4212-4222 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile20 Downloads (Pure) -
IIDS: a light-weight interpretable intrusion detection system for network infrastructures
Momand, A., Jan, S. U. & Ramzan, N., 1 Jun 2026, (Accepted/In press) In: Frontiers in Computer Science.Research output: Contribution to journal › Article › peer-review
Activities
- 2 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: Other › 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: Other › Types of Business and Community - Membership of public/government advisory/policy group or panel
Press/Media
-
Imaging and Sensing research in Demofest
9/12/15
1 item of Media coverage
Press/Media: Public Engagement Activities