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

Toward intelligent ad breaks : a survey and taxonomy of AI-driven ad placement in streaming media
De Silva Waruna, Fernando Anil
IEEE Access (2025)
https://doi.org/10.1109/ACCESS.2025.3610662
A quantum frequency-domain framework for image transmission with three-qubit error correction
Jayasinghe Udara, Fernando Thanuj, Fernando Anil
Algorithms Vol 18 (2025)
https://doi.org/10.3390/a18090574
Generative AI-based vector quantized end-to-end semantic communication system for wireless image transmission
Lokumarambage Maheshi, Sivalingam Thushan, Dong Feng, Rajatheva Nandana, Fernando Anil
IEEE Transactions on Machine Learning in Communications and Networking (2025)
https://doi.org/10.1109/TMLCN.2025.3607891
Semantic and technical noise modeling in semantic image communication over wireless channels
Samarathunga Prabhath, Pollwaththage Nimesh, Fernando Thanuj, Jayasinghe Udara, Ihalagamage Nimesha, Ganearachchi Yasith, Fernando Anil
IEEE Access Vol 13, pp. 150872 - 150900 (2025)
https://doi.org/10.1109/ACCESS.2025.3600320
High-fidelity image transmission in quantum communication with frequency domain multi-qubit techniques
Jayasinghe Udara, Fernando Thanuj, Fernando Anil
Algorithms Vol 18 (2025)
https://doi.org/10.3390/a18080501
A robust multi-qubit quantum communication system for image transmission over error prone channels
Jayasinghe Udara, Kushantha Namesh, Fernando Thanuj, Fernando Anil
IEEE Transactions on Consumer Electronics (2025)
https://doi.org/10.1109/tce.2025.3594368

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