Education

Teaching

• Numerical algorithms
• Probability
• Calculus, Differential equation
• Optimization

Teaching

Programs

Programs

• Biomedical Engineering and Biotechnology MS, PhD
• Data Science BS, BS/MS
• Data Science Graduate Certificate
• Data Science MS
• Engineering and Applied Science PhD
• Mathematics BA, BS

Research

Research awards

• $ 13,000 awarded by Mathematical Association of America for Mixed Model Implicit and IMEX Runge-Kutta Methods
• $ 130,113 awarded by U.S. Department of the Air Force for Computationally and Energy Efficient Mixed Precision and Mixed-model Numerical Methods
• $ 296,555 awarded by The National Science Foundation for Reduced Basis Enhancements of Neural Networks and Their Application to Quantum Materials Simulation
• $ 477,181 awarded by Office of Naval Research for UMassD MUST III: Multi-Fidelity Information Fusion for Accelerated Predictive Modeling and Optimal Design of High Entropy Alloys
• $ 435,393 awarded by Office of Naval Research for UMassD MUST II: Computational Strategies for Scientific Data-Driven Learning for Marine and Undersea Technology Applications

Research

Research interests

• Numerical Analysis, scientific computing, computational partial differential equations
• Dimension reduction, model order reduction, reduced order modeling
• Uncertainty quantification, fractional-order partial differential equations
• Data mining, machine learning, image processing, neural networks
• high performance computing

Yanlai Chen received his BS degree in Mathematics from University of Science and Technology of China (USTC), in 2002, MS in Computer Science and Engineering from Department of Computer Science and Engineering , and PhD in Mathematics from School of Mathematics, University of Minnesota, in 2007. He then worked as a Postdoctoral Researcher at Brown University before joining the Department of Mathematics at University of Massachusetts Dartmouth in August 2010 where he currently serves as a Full Professor.

Dr. Chen’s research has been supported by the NSF, the AFOSR, and by ONR via UMassD's MUST program. His research interests are in numerical analysis and scientific computing, in particular, finite element methods, reduced basis methods and other fast algorithms, uncertainty quantification, design and analysis for machine learning algorithms. He has graduated three doctoral students.

Deeply caring about undergraduate training, Dr. Chen led a team and initiated the UMassD's ACCOMPLISH program via an NSF grant that aims to provide a multi-faceted financial and social support and contextualized computing-centered educational framework for eligible STEM students. Dr. Chen's administrative experience includes serving as a Co-Graduate Program Director of the Engineering and Applied Science program since September 2020, and as a Co-Director of the Center for Scientific Computing and Data Science Research since January 2022.

Additional links

• Personal website
• Google scholar page

Latest from Yanlai

Mentioned in

• May 23, 2024 Shawn Koohy '24: Opportunities in research