Chan Hock Peng

Chan Hock Peng is a Professor at the National University of Singapore (NUS), affiliated with the Institute of Operations Research and Analytics (IORA), part of NUS’s Smart Nation Research Cluster. His academic role focuses on advancing statistical methodologies and their applications in complex systems.

His research interests include:

• Sequential analysis and change-point detection
• Monte Carlo methods and particle filtering
• Multi-armed bandit problems and decision optimization

Notable contributions span theoretical advancements in sequential detection, bandit algorithms, and computational statistics. His work addresses challenges in detecting changes in multi-stream data, optimizing decision-making under uncertainty, and developing efficient methods for sparse signal analysis.

Scientific Awards: No awards explicitly mentioned in the provided information.

Advising and Grants: Details on his advising of students or involvement in grants are not available in the current data.

Labs/Teams: Affiliated with IORA, contributing to research in operations research and analytics.