Parallel Simulation Professors and Supervisors in Singapore

Thorsten Kochمشاهده پروفایل

استاد

National University of SingaporeSingapore

Thorsten Koch serves as Head of the Department of Applied Algorithmic Intelligence Methods within the Division of Mathematical Algorithmic Intelligence at Zuse Institute Berlin (ZIB). His research spans mathematical optimization, energy systems modeling, quantum computing applications, and scientometrics. Koch leads significant research projects including FAN (focusing on AI in scholarly communication), UNSEEN (energy scenarios), HPO-NAVI (research software visibility), and Multi-Energy Models for European Energy System Planning. Koch's research interests center on developing advanced optimization algorithms for complex systems, particularly in energy networks and scientific data analysis. His work bridges theoretical mathematics with practical applications in gas network optimization, wind farm design, portfolio management, and quantum computing. He has pioneered methods for large-scale mixed-integer programming, scenario generation, and the integration of machine learning with traditional optimization techniques. His recent publications demonstrate growing emphasis on quantum optimization, scientometrics, and the application of AI to scientific communication infrastructure. His publication trends reveal a strategic expansion from traditional mathematical optimization into quantum computing applications and scientific data infrastructure. Recent work shows increasing collaboration across disciplines - connecting energy systems analysis with financial modeling, integrating machine learning with optimization solvers, and applying computational methods to scientometrics. The 15 most recent articles highlight three major thrusts: quantum optimization (33%), energy systems modeling (27%), and scientific data infrastructure (40%), reflecting his leadership in both theoretical algorithm development and practical implementation for societal challenges. Koch actively contributes to research infrastructure through leadership roles in projects like KOBV (Berlin-Brandenburg Cooperative Library Network), HDC (Humanities Data Centre), and CIB (future library networks). His work on the DeepGreen initiative focuses on establishing legally secure workflows for implementing open-access components in scientific publication licensing agreements, demonstrating his commitment to open science principles and research data management.

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CHENG Shih-Fenمشاهده پروفایل

دانشیار

Singapore Management UniversitySingapore

CHENG Shih-Fen is an Associate Professor of Computer Science at Singapore Management University (SMU) and a Principal Research Scientist at Amazon. He holds a PhD in Industrial and Operations Engineering from the University of Michigan and a BSE in Mechanical Engineering from National Taiwan University. His research focuses on modeling and optimization of complex systems in urban computing, decision-making, and transportation, with notable contributions to taxi fleet management, ride-hailing systems, and sustainable logistics. Research interests include Artificial Intelligence , Decision Optimization , Machine Learning , and Urban Sustainability . Notable achievements include prestigious awards from CIKM, AAMAS, and INFORMS. He has advised students such as Qian Shao and Pang Jin Tan, who received SMU Presidential Doctoral Fellowships. Key contributions include the Driver Guidance System (DGS) for taxis and patented taxi demand prediction models. Publications span top venues like IJCAI, AAAI, and Transportation Science. He is a Senior Editor of Electronic Commerce Research and Applications and actively contributes to professional communities like INFORMS and AAAI.

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Cristina Carbunaruمشاهده پروفایل

مدرس ارشد

National University of SingaporeSingapore

Cristina Carbunaru is a Senior Lecturer at the National University of Singapore in the Department of Computer Science. She holds a Ph.D. in Computer Science (2013) from NUS and a B.Eng. in Computer Engineering from Politehnica University of Bucharest. Her teaching focuses on software engineering, computer networks, parallel computing, and performance analysis. Education: Ph.D. (NUS, 2013), B.Eng. (Politehnica University of Bucharest) Research Interests center on analytic modeling and performance analysis for distributed systems, alongside educational innovations in authentic learning and automatic assessment . Her work examines peer-assisted file distribution, flash crowd dynamics, and heterogeneous swarm behavior. Scientific Awards include: Singapore Ministry of Education Graduate Studies Award (2008-2014) Special Merit Fellowship from Politehnica University of Bucharest (2002-2007) She has published extensively on distributed system performance, focusing on peer-to-peer networks and scalability challenges.

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Penghui Yaoمشاهده پروفایل

استاد

National University of SingaporeSingapore

Penghui Yao is a Professor in the Department of Computer Science and Technology at Nanjing University, where he is a member of the CS Theory group. His academic career spans prestigious institutions including the Centre for Quantum Technologies at National University of Singapore, Centrum Wiskunde Informatica (CWI), Institute for Quantum Computing (IQC) at University of Waterloo, and Joint Center for Quantum Information and Computer Science (QuICS) at University of Maryland. Education: BSc in Mathematics from East China Normal University PhD from Centre for Quantum Technologies, National University of Singapore (supervised by Rahul Jain and Miklos Santha) Professor Yao's research focuses on quantum computing and theoretical computer science, with particular expertise in quantum algorithms and computational complexity. His work bridges classical and quantum information theory, with significant contributions to analysis of Boolean functions and their quantum applications. He has developed novel approaches to communication complexity problems in both classical and quantum settings, advancing our understanding of the fundamental limits of computation. His recent publications reveal a strong trend toward practical quantum algorithms with applications in distributed systems, quantum simulation, and quantum cryptography. The breadth of his work spans from theoretical foundations of quantum complexity classes to experimental implementations of quantum processes, demonstrating both depth in theoretical understanding and relevance to practical quantum computing challenges. Professor Yao actively mentors the next generation of quantum computing researchers, supervising multiple PhD and Master's students at Nanjing University while maintaining collaborations with international research groups. His service to the community includes program committee roles for major quantum computing conferences including QIP and TQC.

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TAY Seng Chuanمشاهده پروفایل

دانشیار

National University of SingaporeSingapore

Dr. Tay Seng Chuan is an Associate Professor in the Department of Physics at the National University of Singapore (NUS). He is also the Deputy Director of the Centre for Remote Imaging, Sensing and Processing (CRISP) since 2001. His roles include coordination of the SM2/SM3 Bridging Courses under the Office of the Provost and Warden at Ridge View Residences . PhD in Computer Science from NUS (1999) Master of Science in Computer and Information Sciences from NUS (1994) His research interests span Remote Sensing , Image Processing , Parallel Simulation , Performance Modeling , High Level Architecture (HLA), and Information Technology Applications . He has contributed to Parallel Discrete-Event Simulation , Performance Analysis , and IT in Education . His publications focus on Time Warp Algorithms , Distributed Simulation , Parallel Processing , and Java-based Educational Tools . He has received multiple Meritorious Teaching Awards from NUS. Meritorious Teaching Award (2000) Meritorious Teaching Award (1999) Science Teaching Award (1997) In administration , he has served as Deputy Director at CRISP, Head of Education Division at CITA (1998–2001), and Webmaster of the Physics Department (1996–2001). He has also supervised UROPS projects on topics like Memory Management for Parallel Simulation and Remote Sensing Data Processing .

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Li-Shiuan Pehمشاهده پروفایل

استاد

National University of SingaporeSingapore

Li-Shiuan Peh is a Provost's Chair Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS) . She previously held faculty positions at MIT (2013-2016) and Princeton University (2002-2009), advancing from Assistant to full Professor. Education: B.S. from National University of Singapore (1995) Ph.D. from Stanford University (2001) Her research focuses on energy-efficient hardware systems , spanning neural network accelerators for edge computing , privacy-preserving embedded systems , on-chip communication networks , and hardware security . Current projects include AI-on-skin interfaces , secure Network-on-Chip (NoC) architectures , and low-power wearable sensors . Scientific Awards: IEEE Fellow (2017) National Research Foundation Returning Singaporean Scientist Award (2016) ACM Distinguished Scientist (2011) MICRO Hall of Fame Award (2011) National Science Foundation CAREER Award (2003) Her work has driven innovations in bufferless NoC architectures , collaborative traffic advisory systems , and laser attack benchmarks , with publications in top venues like DATE, NOCS, and DAC. She leads an interdisciplinary research group at NUS, advising graduate students in computer architecture and hardware security.

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Zhang Huangweiمشاهده پروفایل

پژوهشگر

National University of SingaporeSingapore

Dr. Zhang Huangwei is a researcher at the Department of Mechanical Engineering, Faculty of Engineering, National University of Singapore (NUS). He holds a PhD in Energy and Combustion from the University of Cambridge (2015) and has previously worked as a postdoctoral research associate at Cambridge and a research associate at Peking University. His research focuses on combustion theory, turbulent combustion modeling, multiphase combustion, and high-performance computing of reacting flows. Education : PhD (2015), University of Cambridge ME (2009), Beihang University BE (2007), Beihang University Dr. Zhang's work spans turbulent combustion modeling, fire dynamics, and algorithm development for reacting flows. His publications emphasize LES/CMC methods, flame extinction, and multiphase combustion. He has received prestigious awards including the Dorothy Hodgkin Postgraduate Award and the Cambridge Overseas Trust Scholarship. Scientific Awards : Professor Qingzhi He Memorial Scholarship Professor Allen T Chwang Fluid Mechanics Scholarship Cambridge Overseas Trust Scholarship Dorothy Hodgkin Postgraduate Awards Postdoctoral Research Fellowship from Stanford University's CTR Osborne Reynolds Research Student Award finalist (ERCOFTAC) Dr. Zhang serves as a reviewer for journals like Combustion and Flame and Energy & Fuels . His lab at NUS develops high-fidelity combustion models and collaborates on direct numerical simulation projects.

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Gary Tan Soon Huatمشاهده پروفایل

دانشیار

National University of SingaporeSingapore

Gary Tan Soon Huat serves as Associate Professor (Educator Track) and Vice-Dean of Student Life at the National University of Singapore's School of Computing, Department of Computer Science. With over three decades of continuous service since 1990, he has established himself as a leading educator and researcher in parallel and distributed systems. His educational background includes a B.Sc (1st class Honours) from NUS, followed by M.Sc and Ph.D degrees from the University of Manchester, UK. As a pioneer in NUS's Direct Honours Programme, his academic journey reflects deep institutional commitment. Tan's research focuses on parallel and distributed computing , symbiotic simulation , and traffic and crisis management simulation . His work bridges theoretical computer science with practical applications in disaster response systems, where he develops frameworks that analyze real-life video feeds to model human movement during emergencies. This research has evolved from foundational work on High Level Architecture and Data Distribution Management to current innovations like the Conscious Movement Model (CMM) that extracts behavioral patterns from CCTV footage. His publication record spans nearly three decades, showing a clear evolution from neighborhood-based multiprocessor scheduling to sophisticated GPU-accelerated traffic simulations and crisis management frameworks. The research demonstrates consistent focus on distributed systems while adapting to emerging technologies like deep learning and GPU computing. ASIASIM FELLOW 2016 NUS Annual Teaching Excellence Awards (03/04, 04/05, 06/07) School Teaching Excellence Awards (1999, 2002, 2016) Faculty of Science Teaching Awards (1992, 1998) ATEA Honour Roll 2008 As an educator, Tan has supervised PhD candidates Wang Chengxin and Muhammad Shalihin bin Othman, focusing on pedestrian movement analysis during crises. His leadership extends beyond research to academic service, including roles as Program Chair of DSRT 2016, Conference Co-chair of SIMUTOOLS 2016, and President of both the Society of Simulation and Gaming of Singapore and the ASIASIM federation. His administrative contributions include serving as Master of Sheares Hall (2003-2013) and current Vice-Dean of Student Life. Tan leads the Modelling and Simulation Group within NUS's Computer Systems Lab, collaborating internationally with KTH (Sweden), FOI (Swedish Defence Research Agency), SMART, and Beihang University. His team's work bridges academic research with practical applications in transportation systems and emergency response planning.

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Jialin Liمشاهده پروفایل

استادیار

National University of SingaporeSingapore

Jialin Li is the Sung Kah Kay Assistant Professor at the School of Computing , National University of Singapore (NUS). They earned a PhD from the University of Washington under the advisement of Dan Ports and a bachelor's degree from the University of Michigan . Their research focuses on distributed systems and operating systems, particularly on co-designing systems with data center networks, data plane operating systems, and decentralized infrastructure. Research Interests : Distributed systems, network ordering, consensus algorithms, in-network processing, decentralized infrastructure, and programmable hardware. Awards : OSDI '14 Jay Lepreau Best Paper Award, NSDI '15 Best Paper Award. Students : Mentors PostDocs (Chaoyi Ruan), Graduate Students (Inho Choi, Yunfan Li, Ziji Shi, etc.), and Undergraduate Students (Mohsen Ghasemi, Akshaye Shenoi, etc.). Service : Conference Organizer (APSys '25 Program Co-Chair), Technical Committee for EuroSys, SOSP, NSDI, and others.

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Koh Chan Gheeمشاهده پروفایل

استاد

National University of SingaporeSingapore

Professor Koh Chan Ghee holds the rank of Professor in Civil Engineering at the National University of Singapore (NUS). He completed his B.Eng.(Hons 1) from the University of Singapore in 1979, followed by M.Eng. from NUS (1983), M.S. and Ph.D. in Civil Engineering from the University of California, Berkeley (1983 and 1986, respectively). His research focuses on structural dynamics, vibration mitigation, offshore engineering, and structural health monitoring. He has authored over 300 journal/conference papers, seven book chapters, and a textbook. Notable achievements include the Marie Curie Fellowship (1993) and Stanford’s Top-2% Scientist ranking (2022). He has secured over S$13M in research grants and serves on editorial boards of journals like Structural Health Monitoring . Currently, he directs the Coastal Protection and Flood Resilience Institute Singapore and the Centre for Hazards Research at NUS. Education: B.Eng. (Hons 1), University of Singapore, 1979 M.Eng., National University of Singapore, 1983 M.S., University of California, Berkeley, 1983 Ph.D., University of California, Berkeley, 1986 P.Eng., Professional Engineers Board (Singapore), 1995 Research Interests: Structural dynamics, system identification, train-track dynamics, offshore system reliability, and coastal protection. His work bridges academic and industrial applications, including over 130 infrastructure projects and 40+ short courses on seismic design and structural analysis. Professional Contributions: Editorial board memberships for journals like Structural Health Monitoring and Smart Structures and Systems . Key contributions include patents on sensors for load measurement, rail flaw detection, and wave hydrodynamics. Awards & Recognition: Top-2% Global Scientist (Stanford, 2022) Marie Curie Fellowship (EU, 1993) IES Prestigious Publication Award (1997) Teaching Commendations (over 10 years) Grants & Projects: Over S$13M in competitive grants, including S$7M as Principal Investigator. Projects span structural health monitoring, offshore engineering, and blast/earthquake analysis. Leadership Roles: Former Director of LRF Institute for Public Understanding of Risk (2019–2023). Current Directorships include Coastal Protection Institute Singapore and NUS’s Centre for Hazards Research.

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Goh Siang Huatمشاهده پروفایل

دانشیار

National University of SingaporeSingapore

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.

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Tong Xinمشاهده پروفایل

دانشیار

National University of SingaporeSingapore

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.

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