Dr. Ben Leong is an Associate Professor of Computer Science at the National University of Singapore (NUS), holding roles as Assistant Dean, Director of the Centre for Computing for Social Good and Philanthropy (CCSGP), and Director of the AI Centre for Educational Technologies (AICET). He earned his S.B., M.Eng., and Ph.D. from MIT (Computer Science, 2006). His research focuses on computer networking and distributed systems, including low-latency TCP, mobile cellular networks, and software-defined networks. He has published extensively at top venues like SIGCOMM and CoNEXT. Dr. Leong is a recipient of the NUS Outstanding Educator Award (2015) and multiple teaching excellence awards. He has supervised numerous PhD students and contributed to educational initiatives, including Coursemology, a gamified learning platform. Beyond academia, he serves as Chief Data Officer at AI Singapore and leads software development for the Ministry of Education. His research group explores modern network protocols, congestion control, and distributed systems. Notable projects include improving TCP performance in cellular networks and mitigating packet loss in datacenters. He has also pioneered innovations in educational technology, blending gamification with programming feedback systems.
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Yi Liمشاهده پروفایل
دانشیار
Yi Li is an Associate Professor at the College of Computing and Data Science (CCDS) , Nanyang Technological University (NTU) , focusing on the security, reliability, and sustainability of modern software systems. Their work bridges blockchain-based decentralized applications and software evolution management. Research Interests : Sustainability of evolving software systems, security/reliability of blockchain applications, semantic history slicing, and compositional analysis. Academic Roles : Associate Professor (2024–Present), Assistant Professor (2018–2024) at NTU, and research internships at Google and Microsoft Research . Scientific Awards : Distinguished Paper Award at NDSS'25 ACM SIGSOFT Distinguished Paper Award at ASE'23 Professional Activities : Co-Chair, Journal-First Track at FSE'25 and APSEC'25 Program Committee roles at ICSE, FSE, ASE, FM, and others (2016–2025) Organizing and reviewing for IEEE/ACM journals Key Publications : 2025: ICSE (SpecGen), FSE (invariant analysis), ISSTA 2024: INFOCOM (LightCross), ASE, ACM Computing Surveys 2023–2014: SPLC, ASE, FM, Dagstuhl Reports Student Advising : Chenguang Zhu (UT Austin, advisor Sarfraz Khurshid), Tai D. Nguyen (SMU, advisor Jun Sun).
WANG Xinrunمشاهده پروفایل
استادیار
WANG Xinrun is an Assistant Professor and Lee Kong Chian Fellow at the School of Computing and Information Systems, Singapore Management University, where he joined in July 2024. He holds a PhD from Nanyang Technological University (2020). His research spans: Fundamental decision making (single/multi-agent reinforcement learning) Applied decision systems (FinTech, urban security, scientific AI) Foundation agents (computer control, automated research) with emphasis on unified frameworks for complex problem-solving. His publication portfolio (15 most recent shown) demonstrates consistent focus on reinforcement learning innovations, multi-agent game theory, and financial AI applications, with papers in ICLR, NeurIPS, AAAI, and KDD. Key trends include foundation model integration, decision-making unification, and real-world deployment. Awards include the Lee Kong Chian Fellowship. He advises PhD student ZHOU Shunchao and leads a research group developing: Reinforcement learning for FinTech Multi-agent systems for urban security Foundation agents for scientific discovery while actively recruiting students and collaborators for these initiatives.
Chaithanya Bandi is an Associate Professor at the National University of Singapore (NUS) in the Analytics and Operations Department of the NUS Business School, with a joint appointment in the Department of Mathematics. His research focuses on decision-making under uncertainty, robust optimization, and their applications in operations management, healthcare, e-commerce, and energy systems. He develops robust optimization models for queueing control, risk optimization, and mechanism design. Key research areas include robust queue inference, two-stage distributionally robust optimization, and multi-item auction mechanisms. He has contributed to operational challenges in healthcare (e.g., patient re-entry scheduling), energy systems (electricity generation optimization), and e-commerce (price optimization for fashion products). His work integrates theoretical advancements with practical implementations in large-scale systems. Recent publications emphasize adversarial evaluation of large language models, dynamic scheduling algorithms, and robust policies for uncertain environments. His methodologies often involve novel optimization frameworks and scalable computational approaches. Dr. Bandi holds a PhD in Operations Research and has collaborated with industry leaders like Flipkart and healthcare providers to apply his models in real-world settings. His contributions bridge theoretical rigor and practical applicability in complex operational systems.
Charles Limمشاهده پروفایل
دانشیار
Dr. Charles Lim is an Associate Professor and NRF Fellow (Class of 2019) at the National University of Singapore, affiliated with the Department of Electrical and Computer Engineering and the Centre for Quantum Technologies. His research focuses on quantum cybersecurity and quantum communications, with a key emphasis on the practical security of quantum cryptography including quantum key distribution and quantum random number generation. His research pioneers real-world quantum cryptographic systems, achieving breakthroughs like the world's longest-distance QKD implementation (Nature Photonics, 2015) and fastest QKD system (Science Advances, 2017). This work transforms theoretical quantum security into high-speed, quantifiably secure cryptosystems for practical deployment. Dr. Lim has received several prestigious awards: NRF Fellow (Class of 2019) Singapore Young Scientist Award (2019) He actively shapes industry standards through ISO QKD framework development and quantum technology consulting, while leading an NRF Quantum Engineering Programme collaboration with Imec to create chip-based quantum cryptographic devices. His work is anchored at the Centre for Quantum Technologies, where he directs international R&D teams advancing quantum cybersecurity hardware and protocols.