Ming Zhong
Assistant Research Scientist
Scientific Machine Learning Lab
Texas A&M Institute of Data Science
Texas A&M University
I am an Assistant Research Scientist at the Texas A&M Institute of Data Science (TAMIDS). I work with Prof. Ulisses Braga-Neto, Prof. Simon Foucart, Prof. Lifan Wang, and many others on the algorithmic and theoretic development and applications of Scientific Machine Learning. Before my position at TAMU, I was a postdoc fellow at Johns Hopkins University working with Prof. Mauro Maggioni on various projects which combine machine learning and dynamical systems together to study collective behaviors (clustering, flocking, milling, etc.) from observation data. I received my Ph.D. in Applied Mathematics, under the guidance of Prof. Eitan Tadmor.
Research Interests:
- Physics-Informed Machine Learning for solving various PDEs (YouTube Video on PINN/PIGP)
- Machine Learning of Self Organization from Observations (YouTube Video, GitHub Code, 2022 AMS Gibbs Lecture on Self Organization by Eitan Tadmor)
- Numerical PDEs, especially central schemes for hyperbolic conservation laws
- Computational Optimal Transport Plan
- Geometric Numerical Integrators
- Scientific Computing (MPI, openMP, CUDA)
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