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- Architects of SG's Digital Future
- Activities
- Activity Catalogue
- Technical Sharing Session with National Research Foundation
Technical Sharing Session with National Research Foundation
IMDA’s Technical Sharing Session is a regular platform where esteemed researchers are invited to present on the latest emerging tech topics.
Technical Sharing Session with National Research Foundation (NRF):
IMDA’s Technical Sharing Session is a regular platform where esteemed researchers are invited to present on the latest emerging tech topics, and attendees can expect to:
- Gain invaluable insights from esteemed experts
- Network with like-minded technical experts
- Uncover opportunities for collaboration and innovation
Key takeaways
Time and location
15 Jan 2025, 4:00pm - 6:30pm
From this session, you would have the opportunity to unpack the following:
- AI safety and robustness
- Mechanistic interpretability and explainability
- Adversarial robustness and generalization
Featured guests
Marta Kwiatkowska
Professor of Computing Systems, University of Oxford
Sun Jun
Professor of Computer Science, SMU
Sun Jun
Professor of Computer Science, SMU
Speakers
Marta Kwiatkowska
Professor of Computing Systems, University of Oxford
Marta Kwiatkowska is a Professor of Computing Systems and Fellow at Trinity College, University of Oxford. Her area of expertise lies in probabilistic and quantitative verification techniques and the synthesis of correct-by-construction systems from quantitative specifications.
She led the development of the probabilistic model checker PRISM, winner of the 2024 ETAPS Test-of-Time Tool Award, which has been used to model and verify numerous case studies across a variety of application domains. Recently, she has been focusing on safety and trust in Artificial Intelligence, with an emphasis on safety and robustness guarantees for machine learning.
Marta has been the recipient of two ERC Advanced Grants and an honorary doctorate from KTH Institute of Technology, and was the first female winner of the Royal Society Milner Medal. She is a Fellow of the ACM, a Member of Academia Europea, and a Fellow of the Royal Society.
Sun Jun
Professor of Computer Science, SMU
Jun Sun is a Professor at Singapore Management University (SMU). He earned his Bachelor’s and Ph.D. degrees in Computer Science from the National University of Singapore (NUS) in 2002 and 2006, respectively, and has been a faculty member since 2010.
His research interests span AI safety, software engineering, formal methods, and more. He is passionate about designing algorithms to solve challenging real-world problems and is equally devoted to enjoying life.
Sun has published over 300 journal articles and conference papers. His work has been recognized with ACM Distinguished Paper Awards multiple times.