جستجوی استاد راهنمای دانشگاهی

Zhiyong Huang is an Associate Professor at the National University of Singapore (NUS) School of Computing. He holds multiple leadership roles, including Deputy Director of the NUS Business Analytics Centre, Director of the Computing Translational Research & Development (C-TReND) Centre, and Assistant Dean (Industry Relations). He is also a Senior Principal Investigator at the NUS Chongqing Research Institute. Education: PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL), MEng and BEng in Computer Engineering from Tsinghua University. Leadership: Senior Member of ACM and IEEE, Pioneer Member of ACM SIGGRAPH, and Chair of the Singapore ACM SIGGRAPH Chapter. Research Interests: His work spans Data Analytics, Machine Learning, Computer Vision, Human-Robot Interaction, and Computer Graphics. Key projects include the NUS Digital Twin initiative and secure data analytics pipelines. Article Trends: Recent publications focus on time series generation, cryptocurrency benchmarks, medical image registration, and phishing detection. These works integrate machine learning, computer vision, and multimodal systems. Scientific Awards: Finalist, World Technology Summit & Awards (Entertainment, 2010) Bronze, National Science and Technology Progress Award (1992) Tsinghua 12.9 Distinguished Young Teacher Award (1989) Grants & Service: Extensive involvement in Singapore's IT Standards Committee, review panels for EDB SIIRD projects, and editorial roles. He has served as PC co-chair, local chair, and reviewer for numerous conferences and journals.

• Data Analytics
• Machine Learning
• Computer Vision
• +۶ مورد دیگر

Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.

• Numerical Modeling
• Computational Simulation
• Materials Science
• +۵ مورد دیگر

Natalie Agus is a Senior Lecturer at the Singapore University of Technology and Design (SUTD), specifically within the ISTD (Information Systems Technology and Design) pillar. Her office is located at 1.402.28. She specializes in teaching undergraduate computing courses, including programming languages such as Python, Java, C#, and C/C++. Agus is dedicated to innovating teaching methods to enhance student engagement with academic materials. Her research focuses on room acoustics and music information retrieval, with a particular emphasis on binaural audio processing. Her doctoral work centered on developing perceptually realistic real-time binaural room reverberation algorithms. Agus holds a B.Eng. (Robotics, 2015) and a Ph.D. (Digital Audio Signal Processing, 2018), both from SUTD. Her recent publications explore topics such as binaural room modeling, perceptual evaluation of spectral variance, and energy-based acoustic simulation techniques. She actively participates in collaborative research projects within the audio engineering domain.

• Interactive Computing
• Room Acoustics
• Music Information Retrieval
• +۳ مورد دیگر

Professor Wang Li-Lian is a faculty member in the Division of Mathematical Sciences at Nanyang Technological University (NTU), Singapore. He holds the rank of Professor of Applied Mathematics and has been affiliated with NTU since 2006, progressing through roles including Assistant and Associate Professor before his current position. His research focuses on spectral methods, computational acoustics/electromagnetics, and PDE-based image processing. He has supervised multiple PhD and Master's students, including Zhang Jing, Gu Ying, Yang Zhiguo, and others. Education and career highlights include a Postdoctoral Research Associate at Purdue University (2002-2003), followed by a Visiting Assistant Professorship (2003-2005). His academic work spans spectral element methods, fractional differential equations, and high-order numerical techniques for wave scattering problems. Notable contributions include advancements in spectral-Galerkin methods for nonlocal operators and exact nonreflecting boundary conditions for Maxwell's equations. Research interests emphasize high-accuracy numerical schemes, with applications to fractional PDEs, metamaterial simulations, and image processing. His publications (over 100+ articles) reflect expertise in spectral methods, computational physics, and mathematical modeling. Teaching responsibilities include courses on partial differential equations, numerical analysis, and scientific computing.

• Applied Mathematics
• Numerical Analysis
• Spectral Methods
• +۵ مورد دیگر

Michael Choi is an Assistant Professor in the Department of Statistics and Data Science at the National University of Singapore (NUS), affiliated with the Institute of Operations Research and Analytics (IORA). Previously, he held a joint appointment with Yale-NUS College (2022–2025) and worked at the School of Data Science (SDS) at the Chinese University of Hong Kong, Shenzhen. He earned his PhD from Cornell University’s School of Operations Research and Information Engineering (ORIE), advised by Prof. Pierre Patie, and holds an undergraduate degree in Actuarial Science from the University of Hong Kong. His research focuses on Markov chains and processes, stochastic algorithms (e.g., MCMC, simulated annealing, Langevin dynamics), and their applications in statistical physics, optimization, Bayesian statistics, information theory, game theory, and theoretical computer science. He explores interdisciplinary connections with quantum computation, control theory, and computational chemistry. Choi actively contributes to the academic community, serving as an Associate Editor of Statistics and Computing since August 2023. He has presented at numerous international conferences and workshops, including the IMS APRM 2026 (Hong Kong), INFORMS International Meeting 2025 (Singapore), and BayesComp 2025 (Singapore). His work bridges theoretical foundations with practical computational methods in stochastic systems.

• Markov Chains
• Stochastic Algorithms
• Statistical Physics
• +۶ مورد دیگر

Zarina Muhammad is a Singapore-based Lecturer in Fine Arts at LASALLE College of the Arts, holding an MA in Art History from Open University and BA (Hons) in Fine Arts from LASALLE. She specializes in contemporary art practice, historiography, and cultural theory in Southeast Asia. Current research focuses on cultural translations of ritual magic, Southeast Asian mythologies, animism, and folk religion Active in interdisciplinary collaborations exploring sacred sites and cross-cultural witchcraft narratives Her work bridges art practice with ethnographic research, examining contested histories at the intersections of: Witchcraft and myth-making Magico-religious systems Gender-based archetypes Ethno-medicine and monstrosity Key projects address intergenerational and interregional translations of cultural narratives, with participatory performances in Singapore, Indonesia, Cambodia, and Japan. Collaborative lecture performances include A rational Taxonomies at ICA Singapore and Sea Charms and Ceremonies at Objectifs Centre.

• Contemporary Art Practice
• Art History
• Southeast Asian Studies
• +۵ مورد دیگر

Maria De Iorio is a Professor at the Yong Loo Lin School of Medicine and holds a joint appointment at the Faculty of Science , both at the National University of Singapore. Her work bridges statistics, epidemiology, and clinical sciences through advanced Bayesian modeling and computational methods. Key research areas: Statistics, Epidemiology, Genetics, Clinical sciences, Medical biochemistry Primary affiliations: Paediatrics department (YLLSoM) and interdisciplinary projects in Science faculty Recent publications focus on extreme value theory, digital numismatics, metabolomic simulations, and maternal-child health Her statistical innovations include: Repulsive mixture models for interpretable clustering Bayesian semi-parametric approaches for longitudinal studies Novel prior distributions for graphical models Application domains span: Pediatric oncology (ALL treatment response modeling) Metabolic syndrome analysis (obesity, diabetes, bone health) Digital humanities (coin distribution patterns, ceramic artifact analysis) Financial forecasting (discrete survival methods for invoice prediction)

• Statistics
• Epidemiology
• Genetics
• +۷ مورد دیگر

Kai Fong Ernest Chong is an Assistant Professor in the Information Systems Technology and Design (ISTD) pillar at Singapore University of Technology and Design (SUTD). He also served as an adjunct assistant professor at Nanyang Technological University's Division of Mathematical Sciences. His research focuses on combinatorics, commutative algebra, and artificial intelligence, particularly in algebraic machine reasoning and robust AI systems. He leads SUTD's thrust on the fundamentals of AI systems and has secured over SGD 8.3 million in research grants as principal investigator (PI) or co-investigator (Co-I). Ernest holds a PhD in Mathematics from Cornell University (2015) under Edward Swartz. He has extensive teaching experience, including courses on algorithms, discrete mathematics, and probability. His work includes pioneering algebraic machine reasoning, connecting commutative algebra to AI, and developing frameworks for federated learning and robustness against data noise. Notable achievements include a 2023 breakthrough in algebraic machine reasoning surpassing human performance in IQ test tasks and a 2003 National Science Talent Search Grand Prize for his work on twin primes. He supervises numerous PhD, master’s, and postdoctoral researchers and actively collaborates with industry partners through projects like ASTRALIS and Alpha-DRACONIS.

• Combinatorics
• Commutative Algebra
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Gary Royden Watson Greaves is an Assistant Professor in the Division of Mathematical Sciences at the School of Physical and Mathematical Sciences, Nanyang Technological University (NTU), Singapore. His research focuses on algebraic graph theory, combinatorial design theory, and computational discrete mathematics. He has held academic positions including Lecturer (2016) and Senior Lecturer (2020) before becoming an Assistant Professor in 2024. Greaves' research contributions span topics such as Neumaier graphs, equiangular lines, chromatic polynomials of signed graphs, and spectral graph theory. He has been recognized with awards including the Nanyang Education Award (College) in 2024 and a monetary award for solving parts of Wei-Hsuan Yu's conjecture in 14, 16, and 17 dimensions. His work often intersects with combinatorics, linear algebra, and computational methods. Key research activities include collaborations on graph constructions, matrix models, and design theory. He has presented at international conferences such as the Australasian Combinatorics Conference and Combinatorics in Christchurch. His publications reflect a strong emphasis on theoretical results with applications in discrete geometry and algebraic structures.

• Algebraic Graph Theory
• Combinatorial Design Theory
• Computational Discrete Mathematics
• +۳ مورد دیگر

ZHAO Rui is a Part-Time Lecturer at the School of Computing, National University of Singapore, where he teaches courses in business analytics and applied machine learning. Concurrently, he serves as the Head of Data & Quant at Pluang. He holds a Ph.D. from Nanyang Technological University and a B.Eng. from Southeast University, establishing a foundation in both theoretical and applied technical domains. His research spans interdisciplinary domains including: Core computational fields : Data Science, Machine Learning, and Artificial Intelligence with applications in Text Mining and Smart Manufacturing Industry-specific applications : Quantitative Finance and FinTech solutions Environmental informatics : Remote sensing and modeling of soil properties, carbon cycles, and land-use changes Publication analysis reveals three primary research arcs: 1) Foundational machine learning methods for document classification and industrial monitoring; 2) Geospatial modeling of soil properties using remote sensing across China; and 3) Ecosystem-scale studies of carbon dynamics and climate impacts. Recent work shows increasing focus on environmental applications while maintaining methodological rigor in AI. He leads courses including BT4012 Fraud Analytics and BT5153 Applied Machine Learning for Business Analytics. While the text mentions no current students, advised projects, or research laboratories, his industry role at Pluang suggests active engagement with fintech applications.

• Data Science & Business Analytics
• FinTech
• Artificial Intelligence
• +۴ مورد دیگر

Li Yunyue is an Assistant Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS), serving since August 2016. Previously, she held a joint postdoctoral position at MIT's Earth Resources Laboratory and Department of Mathematics (2014–2016). She earned her Ph.D. and M.S. in Geophysics from Stanford University (2014 and 2010) and a B.S. in Information and Computational Science from China University of Petroleum, Beijing (2008, Highest Honors). Her research focuses on interdisciplinary geophysical challenges, including seismic imaging, subsurface characterization, and mathematical inverse problems. Key areas include seismic wave simulation, data integration across disciplines, and reservoir monitoring. Her work combines theoretical, numerical, and field-based approaches to advance underground characterization techniques. Her recent publications emphasize seismic inversion methodologies and integrated modeling frameworks, with applications in reservoir and regional-scale analyses. Notable contributions include closed-loop seismic imaging systems and low-frequency waveform inversion techniques. Awards: Centennial Teaching Assistant Award (2012), Robert G. Kirby Fellowship (2008), and multiple academic prizes. Professional Roles: Reviewer for Geophysics and Geophysical Journal International , Chair of SEG Translation Committee since 2014.

• Geophysics
• Seismic Imaging
• Mathematical Inverse Problems
• +۳ مورد دیگر

Xin T. Tong is Associate Professor in the Department of Mathematics at the National University of Singapore, specializing in uncertainty quantification, machine learning, and operations research. His research develops theoretical foundations and methodologies for structured problem-solving in high-dimensional settings. Current investigations focus on ensemble Kalman methods, Bayesian inverse problems, sampling algorithms, and stochastic optimization with non-i.i.d. data. Research emphasizes mathematical analysis of algorithm efficiency and structure-aware computational methods. Professional background includes postdoctoral work at NYU's Courant Institute and Ph.D. from Princeton University.

• Uncertainty Quantification
• Ensemble Kalman Methods
• Bayesian Inverse Problems
• +۳ مورد دیگر

Lim Kian Meng is an Associate Professor at the Department of Mechanical Engineering, National University of Singapore. His research focuses on advanced numerical methods and computational techniques for engineering applications. Expertise in Finite Element, Boundary Element, and Fast Multipole methods. Investigates microfluidics (AC electrokinetics, ultrasonics) and structural dynamics. Active in acoustics, vibration control, and biomimetic transducer development. Professional memberships include the Society of Acoustics Singapore and Singapore Association of Computational Mechanics. His teaching portfolio spans modules like Acoustics, Finite Element Analysis, and Computational Biomechanics.

• Numerical Methods
• Finite Element
• Boundary Element
• +۱۵ مورد دیگر

Assoc Prof Viet Ha Hoang is an Associate Professor and Assistant Chair (Academic) in the School of Physical and Mathematical Sciences (SPMS), Division of Mathematical Sciences at Nanyang Technological University (NTU). He holds a PhD in Mathematics from the University of Cambridge and has extensive research experience in multiscale modeling and numerical analysis. His work focuses on stochastic processes, partial differential equations, and applications in computational science. Education: Bachelor of Mathematics, University of Wollongong, 1996 PhD in Mathematics, University of Cambridge, 2000 Research interests include multiscale problems , probabilistic PDEs , and numerical methods , with contributions to homogenization theory, Bayesian inversion, and computational fluid dynamics. Current grants support his work on multiscale systems and stochastic modeling. Key achievements include pioneering finite element methods for multiscale equations and developing Bayesian frameworks for inverse problems. His lab collaborates on interdisciplinary projects in mathematical physics and biomedical engineering.

• Multiscale Problems
• Probabilistic Partial Differential Equations
• Numerical Analysis
• +۳ مورد دیگر

Dr. Ku Cheng Yeaw is a Senior Lecturer at the Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University (NTU). He holds a PhD from Queen Mary, University of London (2005) and has held prior academic positions at the California Institute of Technology (Harry Bateman Research Instructor, 2005–2008) and the National University of Singapore (Visiting Fellow/Lecturer/Senior Lecturer, 2008–2016). His research focuses on combinatorics, graph theory, and discrete mathematics, with notable contributions to eigenvalue analysis, intersecting families, and extremal set theory. He has an extensive publication record spanning over two decades, addressing topics such as hypergraphs, permutation patterns, and spectral properties of graphs. Dr. Ku has not been explicitly noted for awards or student advisement in the provided text.

• Combinatorics
• Graph Theory
• Discrete Mathematics
• +۳ مورد دیگر