Dr Alan Guedes
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Lecturer in Computer Science
Office
Room 142Building location
Polly VacherAreas of interest
- Machine Learning
- Computer Vision
- Multimedia Systems
- Graph-based Machine Learning
My research interests lie in the intersection of Machine Learning (ML) and Multimedia Systems (MMSys). I currently contribute to conferences and journals supported by the ACM SIG Multimedia by acting as chair, co-chair, and reviewer. I have published 50+ articles (160+ citations and h-index 7 at Google Scholar). I have built a strong background in the broadcast industry, where I have made impactful contributions to standardization committees (ITU-T SG16 and Brazilian TV Forum). Nowadays, my research focuses on using methods to improve MMSys. I have working methods to classify and segment videos and, more recently, to predict user behaviour in 360-degree videos to improve their streaming.
Teaching
- CSIOP
- CS2PP
- CS3TM
Research centres and groups
- Computational Vision Group
- Synthetic Media Research Network
- Alan Turing Institute Interest Group on Media in the Digital Age
Background
I am a Lecturer at the University of Reading working on leveraging machine learning to optimise both traditional and immersive media technologies. Previously, I was a postdoc at UCL and did PhD at PUC-Rio. I have experience acting as a team leader or PI in multiple funded research projects (e.g., immersive media, video analysis and interactive TV) and contributed to research communities (ACM SIGMM, SBC WebMedia) and standard committees (ITU-T SG16, Brazilian TV Forum).
Academic qualifications
- Ph.D. in Computer Science 2017. Pontifical Catholic University of Rio de Janeiro, Brazil.
- M.Sc. in Computer Science 2012. Federal University of Paraiba, Brazil.
- BSc. in Computer Science 2009. Federal University of Paraiba, Brazil.
Professional bodies/affiliations
- ACM SIG Multimedia
Websites/blogs
- https://alanlivio.github.io
- https://www.linkedin.com/in/alanlivio