معرفی
Professor Philip Torr FREng, FRS is a full professor in the Department of Engineering Science at the University of Oxford, leading the Torr Vision Group. His academic roles include holding the Five AI/Royal Academy of Engineering Research Chair in Computer Vision and Machine Learning. He previously held positions at Microsoft Research and Oxford Brookes University. His research focuses on AI safety, computer vision, and machine learning applications in areas like autonomous systems, drug discovery, and cybersecurity. Notable contributions include advancements in adversarial robustness, multimodal models, and foundational vision algorithms.
Education: DPhil (PhD) in Robotics from the University of Oxford under David Murray. Postdoctoral research at Oxford and later roles at Microsoft Research in Redmond and Cambridge.
Research Interests: The Torr Vision Group explores AI safety (e.g., certification of generative models, adversarial robustness), drug discovery collaborations with Novo Nordisk, and real-world applications like autonomous vehicles. Recent work emphasizes interpretable models, ethical AI, and mitigating risks in LLMs and vision-language systems.
Awards: Marr Prize (1998), Royal Society Wolfson Award, Turing AI Fellowship (2021), and multiple best paper awards at top venues like CVPR and ECCV. Elected Fellow of the Royal Academy of Engineering (2019) and Royal Society (2021).
Grants & Collaborations: Founded/advise companies like FiveAI, Onfido, and Oxsight. Active in industry partnerships with Google, Meta, Apple, and Sony. Leads initiatives in AI governance and ethics through roles like Distinguished Research Fellow at the Institute for Ethics in AI.
Labs & Teams: Torr Vision Group (Oxford) focuses on foundational and applied AI research. Collaborations span academia and industry, emphasizing societal impact through responsible innovation.
