Thomas Hou

Hou studied at the South China University of Technology, where he received a B.S. in Mathematics in 1982.[1] He completed his Ph.D. in Mathematics at the University of California, Los Angeles in 1987 under the supervision of Björn Engquist. His dissertation was titled Convergence of Particle Methods for Euler and Boltzmann Equations with Oscillatory Solutions.[2] From 1989 to 1993, he taught at the Courant Institute of Mathematical Sciences at New York University. He has been on the faculty of the California Institute of Technology since 1993. He became the Charles Lee Powell Professor of Applied and Computational Mathematics in 2004.[1]

Hou is known for his research on multiscale analysis and singularity formation of the three-dimensional incompressible Euler and Navier-Stokes equations. He is an author of the monograph Multiscale finite element methods.[3] The multiscale finite element method developed by Hou and his former postdoc, Xiao-Hui Wu, was one of the earliest multiscale methods and has found many applications from the engineering community. A variant of his method has been adopted by several major oil companies in their new generation of flow simulators. Hou has worked extensively on computational and analytical aspects of the Euler and Navier-Stokes equations. In 2014, Hou and his former postdoc, Guo Luo, presented convincing numerical evidence that the axisymmetric Euler equations develop finite time singularity from smooth initial data.[4] In 2022, Hou and his former Ph.D. student, Jiajie Chen, made a breakthrough by proving the finite time singularity of the axisymmetric Euler equations with smooth data and boundary (the so-called Hou-Luo blowup scenario).[5][6] Hou’s recent work on the potentially singular behavior of the three-dimensional Navier-Stokes equations has also generated a lot of interests.[7]

Hou is also known for his work in computational fluid dynamics. His early work on the convergence of the point vortex method for incompressible Euler equations was very surprising and considered as a breakthrough. The level set method developed by Hou and co-workers[8] was the first level set method for multiphase flows and has found many applications. The Small-Scale Decomposition method developed by Hou-Lowengrub-Shelley[9] was considered a tour de force for fluid interface problems and has been used widely in computational fluid dynamics, materials science, and biology.

Hou was cofounder of SIAM Journal on Multiscale Modeling and Simulation, and he served as the editor-in-chief from 2002 to 2007. He was also cofounder of Advances in Adaptive Data Analysis.

Hou has won several major awards. He received an Alfred P. Sloan Research Fellowship in 1990.[10] He was awarded the Feng Kang Prize in Scientific Computing in 1997[11] and the Francois Frenkiel Award from the American Physical Society in 1998.[12] He received the James H. Wilkinson Prize in Numerical Analysis and Scientific Computing from the Society for Industrial and Applied Mathematics (SIAM) in 2001,[13] the Computational and Applied Sciences Award from the United States Association of Computational Mechanics (USACM) in 2005,[14] the Outstanding Paper Prize from SIAM in 2018[15] and the Ralph E. Kleinman Prize from SIAM in 2023.[16] He was an invited speaker at the 1998 International Congress of Mathematicians in Berlin,[17][18] and he was a plenary speaker at the 2003 International Congress on Industrial and Applied Mathematics in Sydney.[19]

Hou has also been inducted into several scholarly societies. He was elected Fellow of the Society for Industrial and Applied Mathematics in 2009.[20] He was elected Fellow of the American Academy of Arts and Sciences (AAAS) in 2011.[21] He was elected Fellow of the American Mathematical Society (AMS) in 2012.[22]

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