Inverse Problems
Research Advisors for Inverse Problems

Bio ItemDaniel Appelö , bio
Professor Daniel Appelö is a numerical analyst with an interest in computational techniques for solving differential equations fast and accurately. He is excited about applications in acoustics, electromagnetics, fluids, and more recently in quantum computing.

Bio ItemJohn Burns , bio
Professor Burns' current research is focused on computational methods for modeling, control, estimation and optimization of complex systems where spatially distributed information is essential. This includes systems modeled by partial and delay differential equations. Recent applications include modeling and control of thermal fluids, design and thermal management systems and optimization of mobile sensor networks.

Bio ItemEric de Sturler , bio
Professor de Sturler's research focuses on numerical analysis for largescale computational problems with an emphasis on fast solvers for linear and nonlinear systems, inverse problems and parameter estimation, optimization, and design, including iterative solvers and numerical linear algebra, randomization, stochastic methods, model reduction, and high performance computing with applications in computational mechanics, such structural optimization and computational fluid dynamics, tomography and image reconstruction, big data, computational physics, biology, and computer graphics.

Bio ItemSerkan Gugercin , bio
Professor Gugercin studies computational mathematics, numerical analysis, and systems and control theory with a focus on datadriven modeling and model reduction of largescale dynamical systems with applications to inverse problems, structural dynamics, material design, and flow control.

Bio ItemTao Lin , bio
Professor Tao Lin's main research interest is the numerical analysis on computational methods related with differential equations. He designs new numerical methods and carry out their convergence analysis. His recent research focuses on immersed finite element (IFE) methods that can solve interface problems of partial differential equation with interface independent meshes. He is also working on applying IFE methods to interface inverse problems via the shape optimization methodology.

Bio ItemMirjeta Pasha , bio
Dr. Pasha is an Assistant Professor with research interests on high dimensional (tensor) data analysis, regularization for inverse problems, uncertainty quantification, and highperformance computing. She develops computationally efficient methods and algorithms to solve largescale problems that arise from an extensive list of applications in data science, medicine, and engineering.

Bio ItemJohann Rudi , bio
Professor Johann Rudi's research is interdisciplinary and spans largescale parallel iterative methods for nonlinear and linear systems, development and implementation of algorithms for highperformance computing (HPC) platforms, computational aspects of inverse problems, and quantification of uncertainties in the inferred parameters.

Bio ItemTim Warburton , bio
Professor Warburton holds the John K. Costain Chair in the College of Science at Virginia Tech and is a faculty member of both the Department of Mathematics and the Computational Modeling and Data Analytics program. His research interests include developing new parallel algorithms and methods that are used to solve PDE based physical modes on the largest supercomputers.

Bio ItemLayne T. Watson , bio
Dr. Watson's research interests include numerical analysis; nonlinear programming; mathematical software; solid mechanics; fluid mechanics; image processing; parallel computation; bioinformatics.
Researchers of Inverse Problems

Bio Item