Year
2020-2021
Research Description
Modeling 3D microstructures using Markov random fields and peridynamics theory
Mentor
Prof. Veera Sundararaghavan, Aerospace Engineering
Year
2020-2021
Research Description
Computational fluid dynamics
Mentors
Prof. Krzysztof Fidkowski and Prof. Joaquim Martins, Aerospace Engineering
Year
2020-2021
Research Description
High-fidelity multidisciplinary design optimization of air vehicles
Mentor
Prof. Joaquim Martins, Aerospace Engineering
Graduation Year
2019
Thesis Title
Towards Automated, Metric-Conforming, Mesh Optimization For High-Order, Finite-Element Methods
Current Job
Assistant Professor, Department of Mechanical, Aerospace & Biomedical Engineering, University of Tennessee, Knoxville, TN
Graduation Year
2017
Current Job
Postdoctoral Researcher at the Center for Computational Sciences and Engineering, Berkeley Lab
Graduation Year
2017
Thesis Title
Toward Accurate, Efficient, and Robust Hybridized Discontinuous Galerkin Methods
Current Job
Research Staff Member at IBM
Alex Gorodetsky is an Assistant Professor in the Department of Aerospace Engineering. His research includes using applied mathematics and computational science to enhance autonomous decision making under uncertainty. His research has an emphasis on controlling systems that must act in complex environments that are often represented through expensive computational simulations. His research uses tools from wide ranging areas including uncertainty quantification, statistical inference, machine learning, numerical analysis, function approximation, control, and optimization. Several of the key areas he focuses on are: optimal planning by solving large scale Markov decision processes, fast Bayesian estimation for nonlinear dynamical systems, high-dimensional compression and approximation of physical quantities of interest, and fusion of information from varying simulation fidelities and data through multi-fidelity modeling.