Portrait of Ming Zhong

University of Houston

Ming Zhong

Assistant Professor · Department of Mathematics

I develop mathematical and computational methods that learn scientific models from observational data.

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About

I am an Assistant Professor in the Department of Mathematics at the University of Houston. My research lies at the intersection of inverse problems, scientific machine learning, learning dynamical systems, and numerical analysis.

Before joining the University of Houston in 2024, I was an Assistant Professor at Illinois Institute of Technology, an Assistant Research Scientist at the Texas A&M Institute of Data Science, and a postdoctoral researcher at Johns Hopkins University. I received my Ph.D. in Applied Mathematics from the University of Maryland.

I am a co-principal investigator on the NSF project A Bayesian Paradigm for Physics-Informed Machine Learning and received a Ralph E. Powe Junior Faculty Enhancement Award for data-driven modeling of emergent behavior in social science.

Research at a glance

  1. Understanding Collective Behavior
  2. Learning from Dynamical Data with Stochastic Noise
  3. Crime Modeling
  4. Physics-Informed Machine Learning
  5. Regularization Techniques for Ill-Posed Inverse Problems
  6. Large-Scale Computational Efficiency

Contact

University email
mzhong4@uh.edu
Office
PGH 616
Department
Department of Mathematics
Address
University of Houston
Houston, TX 77204