
Professor Anil Fernando
Computer and Information Sciences
Back to staff profile
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
Back to staff profile
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
Publications
Back to staff profile
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.
Back to staff profile
Contact
Professor
Anil
Fernando
Computer and Information Sciences
Email: anil.fernando@strath.ac.uk
Tel: Unlisted