Tak-Shing Chan received the PhD degree from the University of London in 2008. From 2014 to 2018 he was a postdoctoral fellow at Academia Sinica, and from 2019 to 2021 a research officer at Swansea University. Since 2021 he has been a senior research associate at Lancaster University. His research interests include computational cognition, signal processing, and machine learning.
Chan, T-S. & Gibberd, A., 23/03/2023, Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022. Wani, M. A., Kantardzic, M., Palade, V., Neagu, D., Yang, L. & Chan, K-Y. (eds.). IEEE, p. 1551-15588 p. (2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
