About Me

Gary K.L. Tam is an Associate Professor in the Department of Computer Science at Swansea University, where he serves as the departmental Research Excellence Framework (REF) lead and is a member of the Visual Computing Group. He led the development of Swansea’s BSc Computer Science and Artificial Intelligence programme and serves as its Programme Director.

His research spans computer vision, machine learning and visual computing, with particular interests in 3D geometry, point cloud processing, human attention modelling and visual analytics. His recent work also explores multimodal learning, language assessment and healthcare AI.

Gary received his B.Eng. with first-class honours from the Hong Kong University of Science and Technology, his M.Phil. from City University of Hong Kong, and his Ph.D. from Durham University. He also holds a Postgraduate Certificate in Teaching in Higher Education (PGCtHE) from Swansea University and is a Fellow of the Higher Education Academy.

Before joining Swansea University in 2012, he served as an Instructor at City University of Hong Kong from 2004 to 2006 and as a Research Associate in the Department of Computer Science and Informatics at Cardiff University from 2009 to 2012.

Gary has served as a Guest Editor for special issues of the International Journal of Computer Vision (2017), Computers (2018, 2019) and Applied Sciences (2023, 2024, 2026). He has been an Associate Editor of AI Communications since 2024. He regularly reviews for leading journals and conferences, including IEEE TPAMI, IJCV, CVPR, ICCV, NeurIPS, AAAI, SIGGRAPH and SIGGRAPH Asia.

Awards and Recognition

Research Awards and Recognition

• Best VAST Paper Award, IEEE VIS, 2016, for “An Analysis of Machine- and Human-Analytics in Classification”.

• ICCM Distinguished Paper Award, 2019, for “An Efficient Approach to Correspondences between Multiple Non-Rigid Parts”.

• AI 2000 Most Influential Scholar Award (Honorable Mention), AMiner, 2023, in the field of visualisation.

Reviewing Recognition

• Outstanding Reviewer Award, International Journal of Computer Vision, 2026.

• Outstanding Reviewer, CVPR, 2026.

• Top Reviewer, NeurIPS, 2026.

• Outstanding Reviewer, AI in Healthcare Conference, 2026.

Teaching Awards and Recognition

• Nomination for the Excellence in Learning and Teaching Awards, Swansea University, 2025.

• Nomination for the Excellence in Learning and Teaching Awards, Swansea University, 2024.

• Excellence in Learning and Teaching Award, Swansea University, 2018.

• Nomination for the Excellence in Learning and Teaching Award, Swansea University, 2017.

• Fellow of the Higher Education Academy (FHEA), 2016.