Professor Anil Fernando
Computer and Information Sciences
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.
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
Publications
- Autoencoder based image quality metric for modelling semantic noise in semantic communications
- Samarathunga Prabhath, Fernando Thanuj, Gowrisetty Vishnu, Atulugama Thisarani, Fernando Anil
- Electronics Letters Vol 60 (2024)
- https://doi.org/10.1049/ell2.13115
- Classifying Tor Traffic Encrypted Payload using Machine Learning
- Choorod Pitpimon, Weir George, Fernando Anil
- IEEE Access Vol 12, pp. 19418 - 19431 (2024)
- https://doi.org/10.1109/access.2024.3356073
- Video compression by chroma prediction using semantic communications
- Samarathunga Prabhath, Ganearachchi Yasith, Fernando Anil
- IEEE 42nd International Conference on Consumer Electronics IEEE 42nd International Conference on Consumer Electronics (2023)
- Region of interest scalable image compression using semantic communications
- Samarathunga Prabhath, Gowrisetty Vishnu, Fernando Thanuj, Ganearachchi Yasith, Fernando Anil
- IEEE 42nd International Conference on Consumer Electronics IEEE 42nd International Conference on Consumer Electronics (2023)
- TransAMR : an interpretable transformer model for accurate prediction of antimicrobial resistance using antibiotic administration data
- Tharmakulasingam Mukunthan, Wang Wenwu, Kerby Michael, Ragione Roberto La, Fernando Anil
- IEEE Access Vol 11, pp. 75337-75350 (2023)
- https://doi.org/10.1109/access.2023.3296221
- A Quality of Experience Aware Framework for Versatile Video Coding Based Video Transmission
- Udora Carl, Adhuran Jayasingam, Fernando Anil
- IEEE Transactions on Consumer Electronics Vol 69, pp. 205-216 (2023)
- https://doi.org/10.1109/tce.2022.3229625
Teaching
1. Image and Video Compression
2. Networking
3. Digital Communications
4. Signal Processing
5. Mathematics
6. Media Processing
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.
Contact
Professor
Anil
Fernando
Computer and Information Sciences
Email: anil.fernando@strath.ac.uk
Tel: Unlisted