Ehsan Khatami

Ehsan Khatami is an Assistant Professor at the Department of Physics, Charles W. Davidson College of Engineering, San Jose State University. His research focuses on theoretical and computational studies of strongly correlated electron systems, particularly the effects of disorder on electronic properties in materials, utilizing quantum Monte Carlo simulations and machine learning techniques.

Khatami’s research interests include:

• Disorder-driven phase transitions in solids
• Quantum many-body systems (Hubbard and Holstein models)
• Machine learning applications in condensed matter physics
• Quantum simulations using cold atoms and quantum dots
• High-temperature expansions and numerical methods

His recent work, supported by an NSF RUI grant ($171,000), explores the interplay between disorder and electron organization in materials, with applications in superconductivity and exotic insulating phases. He also contributed to the NSF MRI grant ($900K) for acquiring High-Performance Computing infrastructure. His publications span topics such as kinetic magnetism, Nagaoka polarons, and AI-assisted discovery in quantum systems.

Scientific contributions include:

• NSF RUI Grant for theoretical investigations
• NSF MRI Grant as Co-PI for computational infrastructure
• Pioneering work on neural network-based simulations of quantum systems

Khatami actively involves students in his research, with NSF grant funding supporting two undergraduate and one graduate student to develop parallel computing codes and analyze quantum simulation results.