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.
Wei GAO is an Associate Professor of Computer Science at Singapore Management University's School of Computing and Information Systems (SCIS), where he serves as full-time faculty. His research focuses on artificial intelligence applications in social computing, misinformation analysis, and natural language processing. Professor GAO leads research on large language models, rumor detection, and social media analytics through computational approaches. Research Focus Professor GAO's expertise spans several interconnected domains: AI & Data Science : Developing advanced machine learning models for complex data analysis Social Media Analytics : Studying misinformation propagation and user behavior patterns Natural Language Processing : Creating novel methods for text understanding and generation Computational Social Science : Quantifying psychological and social phenomena through AI Publication Trends Recent works demonstrate strong emphasis on enhancing large language models for: misinformation detection (rumor verification, fake news debunking), social computing (stance classification, moral reasoning), and efficient AI (model compression, transfer learning). Multimodal approaches and explainable AI frameworks appear consistently across publications. Academic Activities Professor GAO supervises PhD students including LAI Yibin, with mentorship focus on NLP and social computing research. He teaches courses on Natural Language Communication and contributes to SMU's research initiatives in digital transformation and AI safety.
Assoc Prof Kok Choon Tan is an Associate Professor in the Department of Analytics and Operations at the NUS Business School. He holds a Deputy Director role at the Centre for Maritime Studies (CMS), Singapore. His research focuses on container terminal operations optimization, maritime logistics, and simulation-based decision-making. He has been with NUS since 1984, starting as a Senior Tutor in Mathematics, and later earning a Post-Graduate Diploma in Teaching in Higher Education (PG DipTHE) to enhance his pedagogical skills. Research Interests: Transportation and logistics optimization, applied mathematics, operations research modeling, and maritime systems. He leads the Port Operations Modelling & Analysis track at CMS, focusing on container terminal efficiency through mathematical optimization and simulation. Teaching Philosophy: Emphasizes student-centered learning, active learning strategies (e.g., collaborative learning, case studies), and bridging theory to real-world applications. His teaching integrates problem-solving, critical thinking, and presentation skills development through group projects and industrial case studies. Recent Research Trends: His articles address AGV scheduling, container relocation under uncertainty, and multi-modal port operations. These contributions highlight innovations in automated systems, data-driven decision-making, and sustainability in port logistics. Labs/Teams: Active in the NUS Centre for Maritime Studies and collaborates with departments in Industrial Systems Engineering and Civil & Environmental Engineering. His work supports Singapore’s maritime and logistics industry through applied research and strategic planning.
Sanghyun Park is a PYP Assistant Professor in the Department of Strategy and Policy at the National University of Singapore. His research focuses on organizational design, learning processes, artificial intelligence, and computational social science. He investigates how organizational structures influence multi-agent systems and employs methods like formal modeling, experiments, and NLP. PhD in Strategy from INSEAD (2018–2024) Master's in Strategy from Seoul National University (2015–2018) Bachelor's in Physics, Economics, and Business Administration from Seoul National University (2008–2015) Research interests include decision-making dynamics, AI-driven problem-solving, and the coevolution of organizational structures. His work bridges formal theory with computational methods, addressing challenges in multi-agent learning and human-AI collaboration. Recipient of the Will Mitchell Dissertation Research Grant (WMDRG) from the Strategy Research Foundation (SRF). Current research explores ambiguity in human-AI communication and organizational learning mechanisms.
Assoc Prof Ser Aik QUEK is an Honorary Fellow in the Department of Analytics and Operations at the National University of Singapore (NUS) Business School since January 2022. He holds a PhD in Sciences from the University of California, Berkeley (1987), preceded by a Master of Science from MIT (1981), a Diploma in Mathematical Statistics from the University of Cambridge (1978), and a First-Class Honors Bachelor of Science from Victoria University of Manchester (1975). His research focuses on Transportation & Logistics , Applied Mathematics , and Machine Learning , with notable contributions to manufacturing strategy, healthcare operations, and appointment systems optimization. His work often employs advanced statistical methods like the ACE algorithm to analyze nonlinear relationships in complex systems. Teaching Philosophy: Prioritizes student empowerment through personalized engagement, encouraging innovation and integrity. Courses taught include Predictive Analytics, Decision Analytics, and Business Analytics fundamentals, blending technical skills with strategic thinking. Collaborations: Available for projects in industry partnerships, advisory roles, and interdisciplinary initiatives. Proficient in English and Mandarin. Active on LinkedIn and Facebook for academic networking.
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.
Dr Chung Wei Bernard Leong is an Adjunct Associate Professor of Strategy and Policy at the National University of Singapore (NUS Business School) and an Adjunct Lecturer in Artificial Intelligence at the Institute of Systems Science. He holds a PhD from the University of Cambridge and has extensive corporate experience, including roles as CEO/co-founder of Dorje AI, Head of AI/ML at Amazon Web Services (ASEAN), and leadership positions at Singapore Post and Woh Hup. His research interests span artificial intelligence, business strategy, digital transformation, and media studies. Education: PhD in Mathematics from the University of Cambridge (2003), MASt in Mathematics (2000), and BSc (Merit) from NUS (1998). Certifications include Senior Accredited Director (SID) and Fellow of the Singapore Computer Society. Research focuses on the intersection of AI, entrepreneurship, and digital ecosystems. Notable articles include analyses of startup management, media communication theory, and the application of thermodynamics principles to information systems. He hosts the Analyse Asia podcast and is an active angel investor in AI/Web3 startups via the XA Network. Awards include recognition as a Fellow of the Singapore Computer Society and certifications in data protection governance. His professional networks span academia and industry, with contributions to Singapore's entrepreneurial ecosystem and digital policy development.
Aditya Nair is an Nanyang Assistant Professor at the Lee Kong Chian School of Medicine , Nanyang Technological University , Singapore, and a Principal Investigator at the Institute of Molecular and Cellular Biology , A*STAR Singapore. His research focuses on integrating data-driven machine learning with high-throughput neural recordings to understand how emotional states are encoded in neural circuits. Dr. Nair obtained his Ph.D. in Computation and Neural Systems from Caltech in 2024, followed by postdoctoral training at Stanford and Caltech (2025) under Scott Linderman, Pietro Perona, and David J. Anderson. He has co-founded the Chen Institute Data Science and AI for Neuroscience Summer School at Caltech and mentored numerous undergraduates who pursued graduate studies at institutions like Princeton and EPFL. 2025 Science and Chen Institute Prize for AI-Accelerated Research (Finalist) 2025 Ferguson Prize for Ph.D. Thesis in Biology 2024 Gruber International Research Prize in Neuroscience 2024 NIH NeuroAI Early Career Scholar His lab actively recruits research assistants, graduate students, and postdoctoral scholars, focusing on AI-augmented neuroscience, mental health disorders, and computational modeling of affective states.
Lai Changquan is an Assistant Professor at Nanyang Technological University (NTU), holding positions in both the School of Mechanical & Aerospace Engineering and the School of Materials Science & Engineering. He is the Principal Investigator for the Advanced Materials Design and Synthesis (AMDS) Lab, which he established in November 2017, and received the prestigious Nanyang Assistant Professorship in 2022. Education: B.Eng in Mechanical Engineering, National University of Singapore (2009) M.Eng in Materials Science and Engineering, Massachusetts Institute of Technology (2010) Ph.D. in Advanced Materials for Micro- and Nano- Systems, National University of Singapore (2014) Dr. Lai's research spans multiple interdisciplinary fields with a focus on functional structural materials and waste valorization for circular economy applications. His work integrates design, materials science, and manufacturing innovation to engineer novel structures and surfaces. Key research areas include additive manufacturing, nanomaterials, metamaterials, structural batteries, sustainable materials, and machine learning applications in materials science. His lab has made significant contributions to the development of architected materials with exceptional mechanical properties and sustainable manufacturing processes, including turning wastepaper into battery anodes which was featured by the World Economic Forum. Analysis of Dr. Lai's recent publications reveals a strong focus on advanced materials design, particularly in structural metamaterials, additive manufacturing of metals and composites, and sustainable energy applications. His research increasingly incorporates machine learning techniques for materials prediction and optimization while maintaining experimental validation. There's a clear progression toward practical applications in renewable energy, particularly in battery technologies and sustainable manufacturing processes that align with circular economy principles. Scientific Awards: Nanyang Assistant Professorship (2022) Temasek Labs - Best Research Award (Bronze) (2021, 2022, 2023, 2024) Singapore Teaching and Academic Research Talent Scholarship (2021) Temasek Research Fellowship (2016) SMART Postdoctoral Fellowship (2015) Dr. Lai actively mentors a diverse group of graduate students and postdoctoral researchers in the AMDS Lab, including Po-Ju Chiang who became the lab's first PhD graduate in 2024. His research is supported by multiple grants through the HP-NTU Digital Manufacturing Joint Lab and other industry partnerships. He has successfully guided several PhD students through their research on topics including site-specific control of alloy properties through binder jet 3D printing and structural battery development. The Advanced Materials Design and Synthesis Lab maintains strong industry collaborations and has received significant media attention for its innovative work. The lab's research on sustainable materials has been featured in numerous international outlets including The Straits Times, Science Daily, and The Engineer (UK), demonstrating the real-world impact of their work on waste valorization and sustainable manufacturing technologies.
