معرفی
Timothy M. Hospedales is a Professor of Artificial Intelligence at the Institute of Perception, Action and Behaviour within the School of Informatics at the University of Edinburgh. He also serves as VP AI and Head of Samsung AI Research Centre Europe. His research focuses on efficient and robust AI, emphasizing meta-learning, lifelong transfer-learning, and domain adaptation in both probabilistic and deep learning frameworks. Applications span computer vision, vision and language, reinforcement learning for robotics, and finance.
- Professor at University of Edinburgh (2020–present)
- ELLIS Fellow (2021)
- Head of Samsung AI Research Europe (2020–present)
- Founding Director of Applied Machine Learning Lab at QMUL (2012–2016)
His work includes pioneering contributions to meta-learning, few-shot learning, and self-supervised methods, with notable awards such as the Best Paper Prize at ICML AutoML 2018 and Best Student Paper at ICPR 2018. He has co-authored 15+ recent papers on topics like Vision-Language Models, Medical AI Fairness, and Diffusion Model Optimization. He served as Program Co-Chair for BMVC 2018 and AAAI 2022, and authored a book on Visual Adaptation in the Deep Learning Era (2022).
- Co-Chair, BMVC 2018
- Guest Editor, IET CV Special Issue (2016)
- Keynote Speaker at TASK-CV Workshop (ECCV 2016)
- Special Issue on Fewer Labels (IEEE PAMI 2020)
His leadership extends to organizing workshops like the Learning-to-Learn Workshop at ICLR 2021, Meta-Learning Workshop at NeurIPS 2020, and Domain Generalisation Workshop at ICLR 2023. Current projects include Meta-Omnium (CVPR 2023) for general-purpose meta-learning and MetaAudio (ICANN 2022) for few-shot audio classification benchmarks.
