Anil Fernando

Prof

  • United Kingdom

Accepting PhD Students

PhD projects

1. Video coding and communications for automated driving
2. Virtual/Augmented/Mixed reality applications
3. Media applications for 5G/6G
4. Video coding for machines
5. AI for animal health
6. AI for insurance and creative industries
7. AI based media for advertising
8. Energy aware media distribution
9. AI and media based low cost education for developing countries
10. AI based automated animal welfare technologies

Personal profile

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.

Teaching Interests

1. Image and Video Compression

2. Networking

3. Digital Communications

4. Signal Processing

5. Mathematics

6. Media Processing

Academic / Professional 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

Industrial Relevance

1. Media industries

2. Broadcasting

3. Video streaming and compression

4. AI and Machine Learning applications

5. Media/Communication based SMEs

 

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. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 17 - Partnerships for the Goals

Education/Academic qualification

Doctor of Philosophy, Video Coding and Communications, University of Bristol

30 Jan 19981 Feb 2001

Award Date: 1 Feb 2001

External positions

Visiting Professor, University of Surrey

30 Sept 2021 → …

Keywords

  • Video Coding, Video Processing, Video Communications, Quality of Experience, Machine Learning, Artificial Intelligence, COVID-19 diagnostics, animal health and welfare

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