جست‌وجوی استاد و پژوهشگر

Sudipta Chattopadhyayمشاهده پروفایل

دانشیار

• Cybersecurity
• Software Engineering
• Embedded Systems
• +۵ مورد دیگر

Sudipta Chattopadhyay is an Associate Professor at the Information Systems Technology and Design (ISTD) pillar of Singapore University of Technology and Design (SUTD) , holding a tenure-track position since 2017. He previously served as a postdoctoral researcher at Saarland University (2015–2016) and Linköping University (2013–2015), and earned his Ph.D. in Computer Science from the National University of Singapore (NUS) in 2013. Research Areas: Cybersecurity and Cybercrime Forensics Software Engineering for Embedded Systems Program Analysis and Compilers Secure Computing in IoT and Machine Learning Key Contributions: His work focuses on memory performance testing, energy-efficient mobile app analysis, and cache timing verification for predictable execution in multi-core systems, with applications in cyber-physical systems and IoT security. Awards: Best Paper Award (IEEE ICSTW 2017) Dean’s Graduate Research Excellence Award (NUS) Presidential Graduate Fellowship (NUS, 2009-2012)

Goh Siang Huatمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Earthquake Engineering
• Soil-Pile Interaction
• +۵ مورد دیگر

Dr. Goh Siang Huat is an Associate Professor in the Department of Civil Engineering at the National University of Singapore. He holds a B.Eng. (First Class Honours) and M.Eng. from NUS (1991, 1995) and a Ph.D. from Cornell University (2001). His research focuses on geotechnical centrifuge modeling, seismic soil-pile interaction, and large deformation numerical analysis. He has contributed to the recovery efforts of the World Trade Centre post-9/11 and led roles in the Centre for Protective Technology and Underground Singapore Conference. Education: B.Eng. (First Class Honours), National University of Singapore (1991) M.Eng. (Civil), National University of Singapore (1995) Ph.D., Cornell University (2001) Research Interests: Geotechnical Centrifuge Modeling of Dynamic Events Numerical Analysis of Seismic Soil-Pile Interaction Large-Scale Parallel Computations Offshore Foundation Design (Spudcans, Lattice Legs) Recent Trends in Publications: His recent work emphasizes computational methods for seismic response analysis, geotechnical reliability under spatial variability, and machine learning applications in subsurface modeling. Key themes include spudcan foundations, slope stability, and gas reservoir dynamics. Awards: Silver Award, Singapore Accreditation Council Assessor (2012) Bronze Award, Singapore Accreditation Council Assessor (2009) Teaching & Service: He teaches Geotechnical Finite Element Methods and has served as Associate Editor for Journal of Earthquake and Tsunami . His roles include Operations Manager at the Centre for Protective Technology and organizer of APSSRA2012 and Underground Singapore Conference. Labs/Teams: Active in the Centre for Protective Technology within the Faculty of Engineering, focusing on geotechnical innovation and disaster resilience.

• Stochastic Models
• Applied Probability
• Algorithms in Stochastic Models
• +۳ مورد دیگر

Professor Zhang Hanqin is a faculty member at the Department of Analytics & Operations, National University of Singapore (NUS), affiliated with the Institute of Operations Research and Analytics (IORA), part of NUS’s Smart Nation Research Cluster. His research focuses on stochastic models, applied probability, algorithms in stochastic systems, supply chain management, and queueing theory. He has contributed extensively to optimization in inventory systems, manufacturing systems, and service operations. His work spans theoretical advancements and practical applications, including optimal staffing for queues, assemble-to-order systems, and quantity flexible contracts. Recent studies address time-varying queues, minimal phase-type distributions, and impulse control strategies. His research bridges stochastic processes, operations research, and applied mathematics with real-world systems. Key achievements include foundational contributions to diffusion approximations, Coxian representations, and policy design for complex systems. His articles often explore multi-source inventory systems, tandem queues, and expediting strategies, reflecting a deep engagement with both theoretical rigor and industrial relevance.

Tong Xinمشاهده پروفایل

دانشیار

• Probability Theory
• Stochastic Optimization
• Machine Learning
• +۳ مورد دیگر

Tong Xin is Associate Professor in the Department of Mathematics at National University of Singapore. His research develops theoretical frameworks for high-dimensional stochastic systems, focusing on algorithmic stability in optimization and sampling methods. Core research areas include dimension-independent convergence guarantees for stochastic gradient descent, efficiency of ensemble Kalman methods in inverse problems, and replica exchange techniques for non-convex optimization. Recent work establishes robustness bounds for Markov Chain Monte Carlo variants and analyzes generalization errors in machine learning. Applications span uncertainty quantification in physical systems, statistical inference for non-i.i.d. data streams, and computational methods for large-scale inverse problems. Editorial roles include SIAM Journal of Uncertainty Quantification and Statistics and Computing.

Chan Hock Pengمشاهده پروفایل

استاد

• Sequential analysis
• Change-point detection
• Monte Carlo methods
• +۲ مورد دیگر

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.

LI Yuchenمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Data Mining
• Graph Mining
• +۶ مورد دیگر

Yuchen Li is an Associate Professor at the School of Computing and Information System (SCIS) at Singapore Management University (SMU), where he also holds the Lee Kong Chian Fellowship for Research Excellence. He earned his Ph.D. in Computer Science from the National University of Singapore (NUS) in 2017. His research focuses on social analytics, high-performance graph mining, and fintech applications leveraging large language models (LLMs). He has led significant projects funded by MoE, including 'Next-Gen Competitive Intelligence' and 'CONQUEROR' for concurrent graph query processing. His academic contributions span influential publications in top-tier conferences like SIGMOD, KDD, and ICML, with notable works on graph algorithms, fraud detection, and knowledge graph robustness. He advises Ph.D. students and has supervised over a dozen researchers, including current students Xiao Hanhua, Wang Sha, and Ye Chang. His awards include the Lee Kong Chian Fellowship and the Best Demo Paper Award at CIKM 2021. Li’s research bridges theoretical foundations and practical applications, addressing challenges in graph processing, social media analysis, and fintech. His team develops systems like 'Dupin' for fraud detection and 'ThunderRW' for in-memory graph processing, showcasing expertise in GPU acceleration and scalable algorithms.

• Applied Mathematics
• Pure Mathematics
• Algebraic Geometry
• +۳ مورد دیگر

Assoc Prof Chee Whye Chin is an Associate Professor of Mathematics at the National University of Singapore (NUS), affiliated with the Department of Mathematics. His research focuses on arithmetic algebraic geometry, monodromy groups, and representation theory of reductive groups. He has contributed to foundational work on ℓ-independence of monodromy groups and compatible systems of lisse sheaves. His teaching philosophy emphasizes student-driven learning through interactive lectures and continual assessments, aiming to foster deep understanding of mathematical concepts. Research Interests: Monodromy groups and their structural properties Reductive algebraic groups and their representations ℓ-Independence conjectures in arithmetic geometry Applications of group theory in algebraic geometry Publications: His work spans algebraic geometry, number theory, and computational methods. Notable contributions include studies on rationality of homogeneous varieties, optimization of matrix multiplication algorithms, and independence of ℓ results in compatible systems. Over 15 key publications since 1997 reflect his interdisciplinary impact. Awards & Recognition: No specific awards mentioned, but his research has been cited widely in areas like genomics and computational methods. Teaching & Mentorship: Emphasizes active learning through interactive sessions and rigorous assessments. Encourages students to develop self-directed learning strategies by avoiding pre-prepared lecture notes, fostering independent exploration of mathematical concepts.