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Associate Professor Hoang Viet Ha is a faculty member at the School of Physical & Mathematical Sciences, Nanyang Technological University (NTU), Singapore. His research focuses on advanced mathematical methods for solving complex partial differential equations with applications in multiscale modeling and uncertainty quantification. His educational background includes: Undergraduate studies at the University of Wollongong, Australia (1993-1996) Ph.D. at the University of Cambridge, UK (1996-1999) Junior Research Fellow at Gonville and Caius College, Cambridge (1999-2004) Fellow at Emmanuel College, Cambridge (2004-2008) Professor Hoang's research spans Homogenization and Multiscale problems , Numerical analysis , Inverse Problems , Stochastic partial differential equations , and Free boundary value problems . His work develops computational frameworks for high-dimensional approximation, particularly through finite element methods and polynomial chaos expansions. This enables efficient solutions for stochastic PDEs in elasticity and fluid dynamics where traditional methods face the curse of dimensionality. Analysis of his 2009-2015 publications reveals a cohesive trajectory: evolving from foundational homogenization theory to cutting-edge stochastic multiscale algorithms. Key themes include sparse tensor discretizations for high-dimensional problems, Bayesian inverse frameworks for data assimilation, and rigorous analysis of convergence rates for uncertainty quantification methods. His collaborations with leading researchers (Schwab, Stuart, Xia) demonstrate strong interdisciplinary reach across applied mathematics and computational science. Information regarding scientific awards, student advising, research grants, and laboratory affiliations is not provided in the available text.

• Homogenization and Multiscale problems
• Numerical analysis
• Inverse Problems
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Mu Yuguang serves as Associate Professor at Nanyang Technological University's School of Biological Sciences since 2006, following his Lee Kuan Yew Fellowship (2003-2006) at the same institution. His interdisciplinary work bridges Biomedical Sciences, Chemistry, Computer Science, and Physics with core expertise in Structural Biology and computational modeling. His research centers on biomolecular simulations and molecular dynamics, specifically investigating membrane biophysics (including lipid bilayer responses to solvents), protein dynamics, and computational drug design. He develops simulation methodologies to analyze microbial membrane interactions and viral protein targets, with strong emphasis on translating computational findings into biomedical applications. Recent publications (2018-2019) reveal consistent application of molecular dynamics to membrane-related challenges—from butanol-induced disorder in microbial membranes to conjugated oligoelectrolyte interactions—and antiviral drug discovery targeting dengue virus. This work demonstrates integration of physics-based modeling with biological problem-solving across multiple scales. Scientific recognition includes: Lee Kuan Yew Postdoctoral Fellowship (2003-2006) Alexander von Humboldt Research Fellowship (1999-2000)

• Structural Biology
• Biomolecular Simulations
• Molecular Dynamics
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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
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Dr. Poh Leong Hien is an Associate Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS). He holds a Ph.D. from NUS and Eindhoven University of Technology (2011), following B.Eng. (2003) and M.Eng. (2005) degrees from NUS. His research focuses on multi-scale material modeling, damage mechanics, and higher-order continua, with applications in engineering materials and structures. Education: Ph.D., National University of Singapore & Eindhoven University of Technology, 2011 M.Eng. (Accelerated Master’s Programme), NUS, 2005 B.Eng. (First Class Honours), NUS, 2003 Research Interests: Mechanics of materials and damage mechanics Multi-scale methods and homogenization Higher-order continuum theories Computational material modeling His recent publications emphasize advanced materials under extreme conditions, such as metallic glasses and ultra-high-performance composites, alongside computational methods like isogeometric analysis and machine learning-driven homogenization. Key contributions include optimizing auxetic structures and improving failure prediction in heterogeneous materials. Awards include the Lee Kong Chian Graduate Scholarship (2006–2010) and the Institution of Engineers Singapore Gold Medal (2004). Advising and grants: While specific student/advisor details are not listed, his research group likely focuses on computational mechanics and material science. No grants are explicitly mentioned. Labs/Teams: No specific lab affiliations are noted in the provided text.

• Mechanics of Materials
• Damage Mechanics
• Multi-scale Methods
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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.

• Sequential analysis
• Change-point detection
• Monte Carlo methods
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