|Office:||Clements Hall 209E|
Statistical Physics, Applied Partial Differential Equations, Numerical Analysis, Control Theory and Machine Learning.
Professor Tran's research focuses on the statistical physics of non-equilibrium quantum and classical phenomena, for instance, the Boltzmann equations arising in wave turbulence and quantum kinetic theories. He has also been working on machine learning, using tools from control theory, as well as high performance computing.
Professor Tran collaborates with mathematicians, quantum physicists, plasma physicists, statistical physicists, biologists from University of Wisconsin Madison, University of Texas Austin, University of Texas Dallas, French Academy of Sciences, Rutgers University, Princeton University, Massachusetts Institute of Technology, Courant Institute for Mathematical Sciences, Penn State University, Oxford University, École Polytechnique Paris and other institutions. His works have been published on Journal de Mathématiques Pures et Appliquées, Journal of Differential Equations, Journal of Functional Analysis, Communications in Mathematical Physics, M3AS: Mathematical Models and Methods in Applied Sciences, Physica D: Nonlinear Phenomena, Journal of Computational Physics, SIAM Journal on Scientific Computing, Archive for Rational Mechanics and Analysis, SIAM Journal on Mathematical Analysis, Advances in Mathematics, Physical Review E, and others. He also published a book on Quantum Statistical Physics.