Technical Sharing Session on Model Robustness

Pradeep Varakantham is a Professor of Computer Science at the School of Computing and Information Systems at Singapore Management University (SMU).

He heads the CARE.AI research lab, which focuses on developing collaborative and trustworthy intelligent agent systems. Currently, they are focused on trustworthy Reinforcement Learning methods.

Previously, his research has focused on performing sequential dynamic matching of supply and demand through reinforcement learning and multi-stage stochastic optimization, so as to improve quality of life metrics. Most of these systems are motivated by urban environments and have concrete applications in Transportation, Emergency Response, Entertainment, Energy, and Security.

His contributions are at the intersection of Artificial Intelligence, Operations Research, Machine Learning and Behavioral Economics.

Dr Xinxing Xu is a Principal Research Manager at Microsoft Research Asia Singapore. His research interests include machine learning, computer vision, multimodal AI, resource-efficient learning, multimodal medical data analysis and AI for industrial applications, such as digital healthcare and advanced manufacturing.

Prior to joining Microsoft, he was a Senior Scientist and the Group Manager of Multimodal AI, Computing & Intelligence Department, and the Innovation Target Area (ITA) Lead, MedTech & HealthTech, at Institute of High Performance Computing (IHPC), The Agency for Science, Technology and Research (A*STAR), Singapore. He also holds the Adjunct Assistant Professor at Duke-NUS Medical School of the National University of Singapore (NUS), and the Adjunct Principal Investigator at the Singapore Eye Research Institute (SERI), Singapore National Eye Center (SNEC). He obtained his bachelor's degree in electronic engineering and information science from the University of Science and Technology of China (USTC), Ph.D. in Computer Engineering from Nanyang Technological University (NTU), Singapore.

A few of his recent research works on deep learning for medical imaging have been published in top-tier venues including the New England Journal of Medicine (NEJM), Nature Medicine, Nature Aging, Nature Machine Intelligence, Nature Communications, Ophthalmology, Neurology, and The Lancet Digital Health.

He has also published research works in top-tier AI journals and conferences including IEEE TPAMI, IEEE TNNLS, IEEE TMI, IEEE TIP, IEEE JBHI, Medical Image Analysis, CVPR, ICLR, ICCV, IJCAI, AAAI, ICDM, ECCV, and MICCAI. He received a few best paper awards from MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA) 2022, BDM Workshop at PAKDD 2018 and BeyondLabeler Workshop at IJCAI 2016.

He also received the COVID-19 Resilience Medal, a national-level award from the Republic of Singapore, National Healthcare Innovation and Productivity (HIP) Medals 2021 and IT Leader Awards 2021 from Singapore Computer Society.

Dr. Sun Shuo leads the MERaLiON-AudioLLM team at the Institute for Infocomm Research, A*STAR, where he drives the development of Singapore’s speech-text multimodal large language models as part of the National Large Language Models Funding Initiative.

The team has made significant contributions by open-sourcing models, datasets, and evaluation benchmarks, as well as publishing research in top NLP and speech conferences such as ICASSP and NAACL.

Dr. Sun holds a Bachelor of Science in Electrical Engineering and Computer Science (EECS) from the University of California, Berkeley, and earned his Master’s and PhD in Computer Science from the Center for Language and Speech Processing (CLSP) at Johns Hopkins University.