Publications: Including but not limited to 'Adjoint and Its roles in Sciences, Engineering, and Mathematics' (SIAM Book in progress), 'Topological derivative approach for deep neural network architecture adaptation' (Submitted to SIAM SISC), and many other high-level academic papers.
Research Experience
Professor at the Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin; Endowed William J. Murray, Jr. Fellow in Engineering No. 4; Co-Director of the Center for Scientific Machine Learning at the Oden Institute; Editorial Board member of the Elsevier Computers & Mathematics with Applications since 03/2021; Leader of Pho-Ices Group.
Education
Ph.D in Computational Fluid Dynamics, February 2004--May 2007, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, USA; M.Eng. in High Performance Computation for Engineered System, July 2003, Singapore-MIT Alliance, Nanyang Technological University, Singapore; B.Eng. in Aeronautics (with honors), March 2001, Ho Chi Minh City University of Technology, Vietnam.
Background
Research Interests: Quantum-accelerated SciDL algorithms for Digital Twins, Model-constrained Scientific Deep Learning (SciDL) Algorithms, Inverse problems, Uncertainty quantification, Numerical analysis, Numerical optimization, Reduced-order modeling (model order reduction), Scientific computing; Professional field: Aerospace Engineering and Engineering Mechanics.
Miscellany
E-mail: tanbui@oden.utexas.edu; Office: ASE 4.220 and POB 3.118; Phone: (512) 471-8176 and (512) 232-8179; Fax: (512) 471-8694