- Bui Thanh Tan, University of Texas at Austin, USA
Email: tanbui@oden.utexas.edu
Dr Tan Bui-Thanh is a professor, and the endowed William J Murray Jr. Fellow in Engineering No. 4, of the Oden Institute for Computational Engineering & Sciences, and the Department of Aerospace Engineering & Engineering Mechanics at the University of Texas at Austin. Bui-Thanh obtained his PhD from the Massachusetts Institute of Technology in 2007. In 2013, Bui-Thanh joined the ASE/EM department of the Cockrell School of Engineering at the University of Texas of Austin as an assistant professor. He has decades of experience and expertise in multidisciplinary research across the boundaries of different branches of computational science, engineering, and mathematics. Bui-Thanh is currently a co-director of the Center for Scientific Machine Learning at the Oden Institute. He is a former elected vice president of the SIAM Texas-Louisiana Section and a former elected secretary of the SIAM SIAG/CSE. Bui-Thanh was an NSF (OAC/DMS) early CAREER recipient, the Oden Institute distinguished research award, a two-time winner of the Moncrief Faculty Challenging award, and a Gordon Bell Prize finalist. Department of Aerospace Engineering & Engineering Mechanics. Bui-Thanh has extensive expertise with a track record on PDE-constrained inverse problems, Bayesian inverse problems, uncertainty quantification (UQ), reduced-order modeling (ROM) and surrogate, and high-order finite element methods. He has developed various physics-aware SciML approaches including causal recurrent neural networks (cRNN) to predict sea wave height from microseismic data, ROM-ML combing ROM for fast and accurate solutions of neutron transport and inverse problems, model-constrained autoencoder method for forward and inverse problems, modal-constrained variational autoencoder method for Bayesian inference, physics aware deep learning methods for forward and inverse problems, unifying approximation theory for neural networks, to name a few.
- Assoc. Prof. Nguyen Trung Thanh, Rowan University, USA.
Email: nguyent@rowan.edu
Dr. Nguyen Trung Thanh is an associate professor at Rowan University. He obtained his PhD in Engineering Sciences from the Vrije Universiteit Brussel (VUB) in 2007. He spent his postdoc positions in the Department of Electronics & Informatics at the VUB, Johann Radon Institute for Computational and Applied Mathematics of Austrian Academy of Sciences, the University of North Carolina at Charlotte and Iowa State University. He landed to Rowan University in 2017 as an assistant professor and then promoted to an associate professor.
Dr. Thanh is mainly interested in inverse problems, and other areas of computational and applied mathematics, including partial differential equations, optimization, numerical analysis, modeling & simulation, and machine learning. His research includes mathematical and computational investigations, as well as engineering issues such as data processing, model validation and testing inverse methods for real experimental data.
- Prof. Tran Trong Hien, North Carolina State University, USA.
Email: tran@ncsu.edu
Professor Hien T Tran is the Alumni Association Distinguished Graduate Professor and Director of the Center for Research in Scientific Computation at North Carolina State University. He obtained his PhD in 1986 from the Rensselaer Polytechnic Institute. His research is in the areas of control theory and nonlinear dynamical systems and data-driven modeling of biological and physiological systems. He is a co-author of two textbooks on these subjects, Cardiovascular and Respiratory: Systems: Modeling, Analysis and Control, and Mathematical and Experimental Modeling of Physical and Biological Processes. He has applied his research to a wide variety of applications, including fluid dynamics, high energy physics, sport analytics, and mathematical biology and physiology.
- Prof. Dang Duc Trong, VNU-HCM University of Science
Email: ddtrong@hcmuns.edu.vn
Professor Dang Duc Trong is the leader of the team of inverse problems in Ho Chi Minh City. He obtained his PhD in 1996 from Ecole Polytechnique, Paris, France. His main interests are Numerical Analysis, Inverse Problems, and Statistics. Professor Trong’s life is associated with College of Science, Vietnam National University, Ho Chi Minh City, where he currently is the head of the Department of Probability and Statistics. Professor Trong published more than 100 papers in top ranking journals such as Comm. Partial Differential Equations, Inverse Problems, J Elasticity, Potential Anal.
- Assoc. Prof. Nguyen Huy Tuan, University of Banking, HCMC
Email: tuannh@hub.edu.vn
Dr Nguyen Huy Tuan is an associate professor at Ho Chi Minh University of Banking, Ho Chi Minh City. He obtained his PhD in Mathematics in 2010 from the College of Science, Vietnam National University, Ho Chi Minh City. He held his teaching positions at College of Science, Vietnam National University at Ho Chi Minh city, Sai Gon University, Van Lang University before landing at Ho Chi Minh University of Banking. Professor Tuan’s main interest is inverse problems in partial differential equations. He published more than 200 papers in prestigious journals such as SIAM J Math. Anal., Journal of Differential Equations, Inverse Problems, Nonlinearity, Bull. Sci. Math
- Assoc. Prof. Pham Quy Muoi, The University of Danang - University of Science and Education
Email: phamquymuoi@gmail.com
Dr Pham Quy Muoi is an Associate Professor and Head of Faculty of Mathematics and Information Technology, University of Science and Education, The University of Danang. He obtained his PhD in 2012 from the University of Bremen, Germany. He is an expert in inverse problems, numerical analysis and optimization. Dr Muoi published his papers in Inverse Problems, IMA J Numerical Analysis and other top ranking journals.
- Assoc. Prof. Nguyen Van Duc, Vinh University
Email: nguyenvanducdhv@gmail.com
Dr. Nguyen Van Duc is an associate Professor at Vinh University. He obtained his PhD in 2011 from Vinh University. Dr Duc is an expert in inverse and ill-posed problems for partial differential equations. He published his papers in highly ranking journals such as J. Differential Equations, Inverse Problems.