Tan Bui-Thanh Professor Holder of the endowed Marion E. Forsman Centennial Professorship in Engineering Fellow of the endowed Paul D. and Betty Robertson Meek Centennial Professorship in Engineering 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 Editorial Board member of the Taylor & Francis Data Science in Science since 09/2025 Leader of Pho-Ices Group Department of Aerospace Engineering and Engineering Mechanics The Oden Institute for Computational Engineering and Sciences The University of Texas at Austin 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

CV Cover Research Statement Teaching Statement Honors Grants Publications Teaching Softwares

Education

Ph.D in Computational Fluid Dynamics, February 2004--May 2007

M.Eng. in High Performance Computation for Engineered System, July 2003

B.Eng. in Aeronautics (with honors), March 2001

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

Publications

Recent work

• Shinhoo Kang, Hai V. Nguyen, and Tan Bui-Thanh, Learning Chaotic Dynamics through Second-Order Geometric Supervision, arXiv preprint, Submitted , 2026.

• C.G. Krishnanunni, Thomas Scott, and Tan Bui-Thanh, An optimal control approach for neural network architecture adaptation with a posteriori error estimation, arXiv preprint, Submitted , 2026.

• Thomas A. Scott, Lukas Taus, Yen-Hsi Richard Tsai, Tan Bui-Thanh, and Justin G. R. Delva, Rendezvous Planning from Sparse Observations of Optimally Controlled Targets, arXiv preprint, arXiv:2604.01428 , 2026.

• Tan Bui-Thanh, Adjoint and Its roles in Sciences, Engineering, and Mathematics, SIAM Book in progress , 2024.

• C. G. Krishnanunni, Jonathan Wittmer, Tan Bui-Thanh, and Quoc P. Nguyen, A New Look at the Ensemble Kalman Filter for Inverse Problems: Duality, Non-Asymptotic Analysis and Convergence Acceleration, Inverse Problems, Submitted , 2026.

• Alois Duston and Tan Bui-Thanh, Variance-Reduced Diffusion Sampling via Conditional Score Expectation Identity, SIAM SISC, Submitted , 2026.

• Giancarlo Villatoro, C. G. Krishnanunni, and Tan Bui-Thanh, From an Elementary Proof of Error Representation for Hermite Quadrature to a Rediscovery of Legendre Polynomials and Rodrigues Formula, SIURO, Submitted , 2026.

• Alois Duston, Tan Bui-Thanh, Laplace--Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation, Arxiv Manuscript, 2026.

• Bui-Thanh, T., Construction and Analysis of HDG Methods for Linearized Shallow Water Equations , SIAM Journal on Scientific Computing , 38(6),pp. A3696--A3719, 2016.

• Bui-Thanh, T., and Q. Nguyen, FEM-Based Discretization-Invariant MCMC Methods for PDE-constrained Bayesian Inverse Problems , Inverse Problems and Imaging , 10(4), pp. 943--975, 2016.

• Constantine, P.G., Kent, C., and Bui-Thanh, T., Accelerating MCMC with active subspaces , SIAM Journal on Scientific Computing , 38(5), pp. A2779--A2805 , 2016.

• Lan, S., Bui-Thanh, T., Christie, M., and Girolami, M., Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian Inverse Problems , Journal of Computational Physics , 308, 81--101, 2016.

2015

• Bui-Thanh, T. , From Rankine-Hugoniot Condition to a Constructive Derivation of HDG Methods , in Lecture Notes in Computational Science and Engineering: Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2014 , 2015.

• Bui-Thanh, T., From Godunov to A Unified Hybridized Discontinuous Galerkin Framework , Journal of Computational Physics , 295, pp. 114-146, 2015.

• Wilcox, L., Stadler, G., Bui-Thanh, T., and Ghattas, O., Discretely exact derivatives for hyperbolic PDE-constrained optimization problems discretized by the discontinuous Galerkin method , Journal of Scientific Computing , 63, pp. 138--162, 2015.

• Bui-Thanh, T., and Ghattas, O., A Scalable MAP Solver for Bayesian Inverse Problems with Besov Priors , Inverse Problems and Imaging , 9(1), pp. 27--53, 2015.

• Bui-Thanh, T., and Ghattas, O., Bayes is Optimal , ICES report 15-04 , 2015.

2014

• Bui-Thanh, T., and Girolami, M., Solving Large-scale PDE-Constrained Bayesian Inverse Problems With Riemann Manifold Hamiltonian Monte Carlo , Inverse Problems, Special issue , 30, 114014, 2014.

• Bui-Thanh, T., and Ghattas, O., A PDE-constrained Optimization Approach to the Discontinuous Petrov-Galerkin Method with a Trust Region Inexact Newton-CG Solver , Comput. Methods Appl. Mech. Engrg. , 278, pp. 20--40, 2014.

• Bui-Thanh, T., and Ghattas, O., An Analysis of Infinite Dimensional Bayesian Inverse Shape Acoustic Scattering and its Numerical Approximation , SIAM Journal on Uncertainty Quantification , 2, pp. 203--222, 2014.

• Roberts, N., Bui-Thanh, T., and Demkowicz, D., The DPG Method for the Stokes Problem , Computers & Mathematics with Applications , 67, pp. 966--995, 2014.

• Chan, J., Heuer, N., Bui-Thanh, T., and Demkowicz, D., Robust DPG method for convection-dominated diffusion problems II: a natural in flow condition , Computers & Mathematics with Applications , 67, pp. 771--795, 2014.

2013

• Bui-Thanh, T., Ghattas, O., Martin, J., and Stadler, G., A computational framework for infinite-dimensional Bayesian inverse problems. Part I: The linearized case, with application to global seismic inversion , SIAM Journal on Scientific Computing , 35(6), pp. A2494--A2523, 2013.

• Bui-Thanh, T., and Ghattas, O., Analysis of the Hessian for Inverse Scattering Problems. Part III: Inverse Medium Scattering of Electromagnetic Waves in Three Dimensions , Inverse Problems and Imaging, 7(4), pp. 1139--1155, 2013.

• Bui-Thanh, T., Demkowicz, L., and Ghattas, O., A Unified Discontinuous Petrov-Galerkin Method and its Analysis for Friedrichs' Systems , SIAM Journal on Numerical Analysis , 51(4), pp. 1933--1958, 2013.

• Bui-Thanh, T., Demkowicz, L., and Ghattas, O., Constructively Well-Posed Approximation Methods with Unity Inf-Sup and Continuity Constants for Partial Differential Equations , Mathematics of Computation , 82(284), pp. 1923--1952, 2013.

2012

• Bui-Thanh, T., Burstedde, C., Ghattas, O., Martin, J., Stadler, G., and Wilcox, L.C., Extreme-scale UQ for Bayesian inverse problems governed by PDEs , ACM/IEEE Supercomputing SC12, Gordon Bell Prize Finalist , Salt Lake City, Utah, 2012.

• Bui-Thanh, T., and Ghattas, O., A Scaled Stochastic Newton Algorithm for Markov Chain Monte Carlo Simulations , SIAM Journal on Uncertainty Quantification , Submitted, 2012.

• Bui-Thanh, T., A Gentle Tutorial on Statistical Inversion using the Bayesian Paradigm , ICES Report 12-18 , 2012.

2011

• Bui-Thanh, T., Ghattas, O., and Higdon, D., Adaptive Hessian-based Non-stationary Gaussian Process Response Surface Method for Probability Density Approximation with Application to Bayesian Solution of Large-scale Inverse Problems , SIAM Journal on Scientific Computing , 34(6), pp. A2837--A2871, 2012.

• Bui-Thanh, T., and Ghattas, O., Analysis of the Hessian for Inverse Scattering Problems. Part I: Inverse Shape Scattering of Acoustic Waves , In 2013 Highlight Collection of Inverse Problems, 28, 055001, 2012.

• Bui-Thanh, T., and Ghattas, O., Analysis of the Hessian for Inverse Scattering Problems. Part II: Inverse Medium Scattering of Acoustic Waves , Inverse Problems, 28, 055002, 2012.

• Bui-Thanh, T., and Ghattas, O., An Analysis of a Non-conforming hp-Discontinuous Galerkin Spectral Element Method for Wave Propagations , SIAM Journal on Numerical Analysis , 50(3), pp. 1801--1826, 2012.

Selected publications prior to 2011

• Bui-Thanh, T., Demkowicz, L., and Ghattas, O., A Relation between the Discontinuous Petrov--Galerkin Method and the Discontinuous Galerkin Method , ICES Report ICES 11-45 , December, 2011.

• Wadley, H.N.G., Dharmasena, K.P., He, M.Y., McMeeking, R. M., Evans, A. G., Bui-Thanh, T., and Radovitzky, R., An active concept for limiting injuries caused by air blasts , International Journal of Impact Engineering, 37(3), pp. 317--323, 2010.

• Bui-Thanh, T., Willcox, K., and Ghattas, O., Parametric Reduced-Order Models for Probabilistic Analysis of Unsteady Aerodynamic Applications , AIAA Journal , 46(10), pp. 2520--2529, 2008.

• Bui-Thanh, T., Willcox, K., and Ghattas, O., Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space , SIAM Journal on Scientific Computing , 30(6), pp. 3270--3288, 2008.

• Bui-Thanh, T., Willcox, K., Ghattas, O., van Bloemen Waanders, B., Goal-Oriented, Model-Constrained Optimization for Reduction of Large-Scale Systems , Journal of Computational Physics , Vol. 224, pp. 880--896, 2007.

• Bui-Thanh, T., Damodaran, M. and Willcox, K., Aerodynamic Data Reconstruction and Inverse Design using Proper Orthogonal Decomposition , AIAA Journal , 42(8), pp. 1505--1516, 2004.

• Bui-Thanh, T., Model-Constrained Optimization Methods for Reduction of Parameterized Large-Scale Systems , Ph.D thesis , Department of Aeronautics and Astronautics, MIT, 2007.

• Bui-Thanh, T., Proper Orthogonal Decomposition Extensions and Their Applications in Steady Aerodynamics , Master thesis , High Performance Computation for Engineered Systems, Singapore-MIT Alliance, 2003.

Awards and Honors

• Elected to the editorial board for Computer and Mathematics with Applications, Elsevier, March 2021
• Elected Secretary of the SIAM SIAG-CSE (2020-2022)
• Elected Vice President of the SIAM Texas-Louisiana Section (2020-2022)
• Endowed William J. Murray, Jr. Fellow in Engineering No. 4, 2020
• Moncrief Grand Challenges Faculty Award, 2019
• NSF Career Award (jointly by NSF-OAC and NSF-DMS), 2019
• Summer Faculty fellowship, Air Force Office of Scientific Research (AFOSR), 2016
• Moncrief Grand Challenges Faculty Award, 2014
• DSO National Lab Award for the best master's thesis, Singapore, 2003.
• IHPC-SUN Award for the best student in ``Introduction to Numerical Simulation'', Singapore, 2002.
• Silver medal in Fluid Mechanics in national Olympic competition, Vietnam, 1999.
• ROtring Merit award for topscorer in the intake examination, Ho Chi Minh City University of Technology, Vietnam, 1998.
• Best student, Ho Chi Minh City National University, Vietnam, 1997.
• Best student, Ho Chi Minh City National University, Vietnam, 1996.

Fundings

• Over the years my research has been supported by various federal agencies and private companies: NSF, DOE, AFOSR, Raytheon Technologies, Lockheed Martin, ConTex, Oak Ridge National Lab, Murray Fellowship, and UT-Portugal.

Softwares

• STIRNCG : 2005-present, a subspace trust region interior reflective inexact Newton-CG solver for optimization problems with bound constraints. This code is written in Matlab, and a C version is implemented in libmaoi .
• mangll : 2008-present (with Lucas C. Wilcox, Georg Stadler, Carsten Burstedde, Tobin Isaac, and James Martin), a high-order h-adaptive continuous and discontinuous finite element discretization library that is highly scalable.
• libsc : 2010-present (with Carsten Burstedde, Lucas C. Wilcox, Tobin Isaac, and James Martin), an MPI-based C-library that provides basic data structures and common facilities for parallel generic and scientific computing. libsc is released under the GNU LGPL version 2.1 (or later) and distributed with p4est .
• libmaoi : 2010-present (with Carsten Burstedde, Georg Stadler, and James Martin), a C library to provide abstract optimization algorithms.

Teaching

• Quantum computing
• Machine Learning and data science
• Mathematical Methods in Applied Mechanics
• Applied Mathematics