Professor Anil Fernando

Computer and Information Sciences

Contact

Personal statement

Prof Anil Fernando is a professor in Video Coding and Communications at the Department of Computer and Information Sciences, University of Strathclyde. He leads the video coding and communication research team at Strathclyde. He has worked on major national and international multidisciplinary research projects and led most of them. His main research interests are in Video coding and communications, Machine Learning (ML) and Artificial Intelligence (AI), signal processing, networking and communications, interactive systems, resource optimizations, distributed technologies, media broadcasting, Quality of Experience (QoE) and intelligent systems. He has published over 350 papers in international journals and conference proceedings and published a book on 3D video broadcasting. He has successfully supervised over 56 PhDs and 30 research fellows. He has contributed to a large number of international research projects and coordinated few international and national projects . He has also led the technical coordination of many international and national projects. In this year, his team was part of commercialising a low cost rapid COVID-19 diagnostic portable device and its technology. He has been working with all major EU broadcasters, BBC, and major European media companies/SMEs in the last decade in providing innovative media technologies for British and EU citizens. Currently, he is involved in commercialising a technology for low cost rapid diagnostic system for farm animals in identifying most common bacterial and viral infections.

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Qualifications

1. BSc Enginnering in Electronics and Communications (First Class)

2. MSc in Communications (Distinction)

3. PhD in Computer Science (Video Codinga nd Communications)

4. Post Graduate Diploma in Education

6. IEEE Senior Member

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Publications

Versatile video coding using discrete wavelet transforms and histogram analysis
Gallena Watthage Reka Sandaruwan, Fernando Anil
Electronics Letters Vol 62 (2026)
https://doi.org/10.1049/ell2.70721
A system-level sustainability assessment of electric vehicle-based demand flexibility for reducing gas-backed peak electricity demand
Thanippulige Lahiru, Pannigala Namesh, Ihalagamage Nimesha, Fernando Anil
International Journal of Sustainable Energy (2026)
https://doi.org/10.1080/14786451.2026.2730753
Semantic-aware quantum frequency-domain image transmission with channel-aware denoising
Jayasinghe Udara, Gowrisetty Vishnu Sai Sankeerth, Fernando Thanuj, Fernando Anil
IEEE Transactions on Communications Vol 74, pp. 13082-13096 (2026)
https://doi.org/10.1109/TCOMM.2026.3725043
A unified multi-task vision transformer for interpretable ovarian tumour analysis
Abdullahi Abdussamad Musa, Emmanuel David, Hassan Adeeb Alchaikh, Fernando Anil
Electronics Vol 15 (2026)
https://doi.org/10.3390/electronics15163662
Edge computing based vector quantized semantic communication system for wireless image transmission
Lokumarambage Maheshi, Sivalingam Thushan, Rezaei Hossein, Rajatheva Premanandana, Fernando Anil
IEEE Transactions on Consumer Electronics Vol 72, pp. 5661-5670 (2026)
https://doi.org/10.1109/tce.2026.3683921
LiveCH-VVC : latency-aware dynamic bitrate ladder prediction for VVC/LL-DASH live streaming
Gallena Watthage Reka Sandaruwan, Fernando Anil
Signals Vol 7 (2026)
https://doi.org/10.3390/signals7040064

More publications

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Teaching

1. Image and Video Compression

2. Networking

3. Digital Communications

4. Signal Processing

5. Mathematics

6. Media Processing

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Research Interests

Video coding, processing and communications, Machine Learning and Artificial Intelligence, signal processing, networking and communications, interactive systems, resource optimizations, distributed technologies, media broadcasting, Quality of Experience (QoE) and intelligent systems. 

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Contact

Professor Anil Fernando
Computer and Information Sciences

Email: anil.fernando@strath.ac.uk
Tel: Unlisted