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

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
Wireless end-to-end image transmission system using semantic communications
Lokumarambage MU, Gowrisetty VSS, Rezaei H, Sivalingam T, Rajatheva N, Fernando A
IEEE Access Vol 11, pp. 37149-37163 (2023)
https://doi.org/10.1109/access.2023.3266656
Static video compression's influence on neural network performance
Gowrisetty Vishnu Sai Sankeerth, Fernando Anil
Electronics Vol 12 (2022)
https://doi.org/10.3390/electronics12010008
Deep learning and bidirectional optical flow based viewport predictions for 360° video coding
Adhuran Jayasingam, Kulupana Gosala, Fernando Anil
IEEE Access Vol 10, pp. 118380-118396 (2022)
https://doi.org/10.1109/access.2022.3219861
Explainable deep learning approach for multilabel classification of antimicrobial resistance with missing labels
Tharmakulasingam Mukunthan, Gardner Brian, Ragione Roberto La, Fernando Anil
IEEE Access Vol 10, pp. 113073-113085 (2022)
https://doi.org/10.1109/access.2022.3216896
Transformation architecture for multi-layered WebApp source code generation
Tesoriero Ricardo, Rueda Alejandro, Gallud Jose A, Lozano Maria D, Fernando Anil
IEEE Access Vol 10, pp. 5223-5237 (2022)
https://doi.org/10.1109/ACCESS.2022.3141702

More publications

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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