Rate Professor Zhongqiang Zhang

Professional Summary: Professor Zhongqiang Zhang

Professor Zhongqiang Zhang is a distinguished academic in the field of mathematics, currently serving as an Associate Professor at Worcester Polytechnic Institute (WPI) in Worcester, Massachusetts. With a focus on applied mathematics, numerical analysis, and stochastic processes, Professor Zhang has made significant contributions to the understanding of computational methods for uncertainty quantification and stochastic differential equations.

Academic Background and Degrees

Professor Zhang holds advanced degrees in mathematics, reflecting a strong foundation in both theoretical and applied aspects of the discipline:

• Ph.D. in Applied Mathematics, Brown University, 2011
• B.S. in Mathematics, Peking University, China, 2006

Research Specializations and Academic Interests

Professor Zhang’s research primarily focuses on the development and analysis of numerical methods for stochastic and deterministic systems. Key areas of interest include:

• Numerical solutions for stochastic differential equations (SDEs)
• Uncertainty quantification in computational models
• Multiscale modeling and simulation
• Applications of mathematics in physics, engineering, and biology

Career History and Appointments

Professor Zhang has held several academic positions, demonstrating a progressive career in research and education:

• Associate Professor, Department of Mathematical Sciences, Worcester Polytechnic Institute, 2019–Present
• Assistant Professor, Department of Mathematical Sciences, Worcester Polytechnic Institute, 2014–2019
• Postdoctoral Research Associate, University of Maryland, College Park, 2011–2014

Major Awards, Fellowships, and Honors

Professor Zhang has been recognized for excellence in research and academic contributions:

• National Science Foundation (NSF) CAREER Award, 2019
• Outstanding Teaching Award, Worcester Polytechnic Institute, 2017

Key Publications

Professor Zhang has authored numerous peer-reviewed articles in prestigious journals, focusing on numerical methods and stochastic processes. Selected publications include:

• “Numerical Methods for Stochastic Partial Differential Equations with White Noise,” co-authored with G. J. Lord, Springer, 2017
• “Strong Convergence of Splitting Methods for SDEs with Non-Globally Lipschitz Coefficients,” Journal of Computational and Applied Mathematics, 2020
• “A Multilevel Monte Carlo Method for High-Dimensional Uncertainty Quantification,” SIAM Journal on Numerical Analysis, 2016
• “Numerical Analysis of Stochastic Differential Equations with Jumps,” Applied Mathematics and Computation, 2014

Influence and Impact on Academic Field

Professor Zhang’s work has had a notable impact on the field of applied mathematics, particularly in the area of stochastic modeling and uncertainty quantification. His research on numerical algorithms for stochastic systems is widely cited and has practical applications in engineering, physics, and computational biology. Through the NSF CAREER Award, he has advanced educational outreach by integrating research into undergraduate and graduate curricula at WPI, fostering the next generation of mathematicians.

Public Lectures, Committees, and Editorial Contributions

Professor Zhang is actively engaged in the broader academic community through lectures and service roles:

• Invited Speaker, SIAM Conference on Uncertainty Quantification, 2022
• Organizer, Workshop on Numerical Methods for Stochastic Systems, WPI, 2018
• Member, Editorial Board, Journal of Computational Mathematics, 2020–Present
• Reviewer for multiple journals, including SIAM Journal on Numerical Analysis and Journal of Applied Mathematics