Professor Anil Fernando

Computer and Information Sciences

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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

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
Reconstruction-resistant image transmission using semantic communications
Atulugama Thisarani, Ganearachchi Yasith, Samarathunga Prabath, Jayasinghe Udara, Fernando Anil
Applied Sciences Vol 16 (2026)
https://doi.org/10.3390/app16136696
Quantum chirp transform for image compression and transmission with multis-stage U-Net-based image denoising and reconstruction
Jayasinghe Udara, Fernando Anil
Telecom Vol 7 (2026)
https://doi.org/10.3390/telecom7040082
Quantum communication for semantic communication based image transmission
Jayasinghe Udara, Samarathunga Prabhath, Pollwaththage Nimesh, Fernando Thanuj, Fernando Anil
IEEE Transactions on Vehicular Technology Vol 75, pp. 14052-14061 (2026)
https://doi.org/10.1109/TVT.2026.3663843
FairEdge360 : distributed multi-agent reinforcement learning for QoE-Fair 360° video streaming with uncertainty-aware edge coordination
Gallena Watthage Reka Sandaruwan, Fernando Anil
Journal of Imaging Vol 12 (2026)
https://doi.org/10.3390/jimaging12060234
Context-aware semantic video coding using pretrained motion-adaptive models and bidirectional prediction
Samarathunga Prabhath, Ganearachchi Yasith, Fernando Thanuj, Jayasingam Adhuran, Sivalingam Thushan, Rajatheva Nandana, Fernando Anil
IEEE Access Vol 14, pp. 69730 - 69755 (2026)
https://doi.org/10.1109/access.2026.3686329

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