N-CRiPT Public Seminar: Trusted Data Sharing – Incentivizing Collaboration and Rights to be Forgotten in Machine Learning

Speaker: Associate Professor Bryan Low

Date & Time: Tuesday 29 December, 10.00am – 11.00am

In this talk, Prof Low will present his preliminary research efforts in trusted data sharing. Specifically, he will discuss how we can perform data valuation, incentivize multiple parties with data to collaborate in building higher-quality models, and unlearn a trained machine learning model from data to be erased (e.g. personal data, malicious data) for compliance with regulations such as the Personal Data Protection Act, General Data Protection Regulation, and the future of personal data ownership.

A recording of the webinar is available here.


Dr Low is an Associate Professor at the Department of Computer Science of the National University of Singapore and the Deputy Director of AI Research and Technology at AI Singapore. He obtained the B.Sc. (Hons.) and M.Sc. degrees in Computer Science from National University of Singapore, Singapore, in 2001 and 2002, respectively, and the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University (CMU), Pittsburgh, Pennsylvania, in 2009. His research interests include probabilistic & automated machine learning, planning under uncertainty, and multi-agent/robot systems.

Dr Low is the recipient of the (1) Andrew P. Sage Best Transactions Paper Award for the best paper published in all 3 of the IEEE Transactions on Systems, Man, and Cybernetics – Parts A, B, and C in 2006; (2) National University of Singapore Overseas Graduate Scholarship for Ph.D. studies in CMU in 2004-2009; (3) Singapore Computer Society Prize for Best M.Sc. Thesis in School of Computing, National University of Singapore in 2003; and (4) Faculty Teaching Excellence Award in School of Computing, National University of Singapore in 2017-2018.  

Dr Low has served as a World Economic Forum’s Global Future Councils Fellow for the Council on the Future of Artificial Intelligence and Robotics from Sep 2016 to Jun 2018 and an IEEE Robotics & Automation Society (RAS) Distinguished Lecturer for the IEEE RAS Technical Committee on Multi-Robot Systems since Mar 2019. He served as an organizing chair for the IEEE RAS Summer School on Multi-Robot Systems in Jun 2016 and the AI Summer Schools in Jul 2019 and Aug 2020. Dr Low has also served as associate editor, area chair and program committee member, and reviewer for premier AI (specifically, multiagent systems, AI planning, robotics, machine learning) conferences: IJCAI, AAAI, ECAI, AAMAS, ICAPS, RSS, IROS, ICRA, CoRL, NeurIPS, ICML, AISTATS, ICLR and journals: TKDE, JMLR, JAIR, MLJ, TNNLS, T-ASE, IJRR, T-RO, AURO, JFR, TOSN, JAAMAS. He was the top 5% reviewer for ICML 2019 and top 33% reviewer for ICML 2020.