People
Graduate researchers contributing to the laboratory's computational research.
Research Assistant
Hirad Alipanah is a Ph.D. student in computational modeling and simulation (CMS) at the University of Pittsburgh (Pitt). He received his B.S. degree in electrical engineering from Sharif University of Technology. His research interests include fluid dynamics, quantum computing, quantum algorithms, and machine learning.
Research Assistant
Bobby's research is the application of tensor network methods to fluid dynamics. He is currently exploring the matrix product state ansatz and comparing its performance to classical methods (e.g., finite difference) for solving two-dimensional compressible reacting and non-reacting flows. Bobby is a Ph.D. candidate in the Computational Modeling and Simulation (CMS) program at the University of Pittsburgh and is passionate about scientific computing. His favorite programming language is Julia. His background is in nuclear (B.S.) and mechanical (M.S.) engineering, and he works full-time as an engineer at Westinghouse Electric Company. He is co-advised by Dr. Peyman Givi and Dr. Juan José Mendoza Arenas.
Research Assistant
Daniel Madrid is a Ph.D. student in the Computational Modeling and Simulation (CMS) program at the University of Pittsburgh. He works full-time as an R&D engineer at the Naval Nuclear Laboratory (NNL), where he focuses on emerging and enabling technologies in nuclear propulsion. He received his bachelor’s and master’s degrees in mechanical engineering from the University of Arizona and Arizona State University, respectively. His research interests are quantum computational fluid dynamics, quantum algorithms, and quantum computing.
Research Assistant
Massen Esmaeili (Mohammad Hossein Esmaeili Gourabi) is a Ph.D. student in the Computational Modeling and Simulation (CMS) program at the University of Pittsburgh. His research applies quantum-inspired tensor-network methods — matrix product states (MPS), projected entangled pair states (PEPS), and other architectures — to the compression, analysis, and time evolution of turbulent and reacting flows. His work bridges classical high-performance computing with near-term quantum computing applications.