About

Sohrab is a researcher specializing in the control of complex dynamical systems, with expertise in data-driven and AI methods for system analysis and control.

Earlier in his research, he explored non-parametric control (NPC) methods, data-driven structural analysis of multivariable systems, and data-driven control allocation for over-actuated systems.

He is particularly interested in data-driven approaches that bridge theory and practice, aiming to advance next-generation methodologies for modeling and control of complex systems.

Research Interests

Complex Dynamical Systems
Control Theory
Data-Driven and AI-Based Approaches for Modeling and Control

Education

University of Southern California Logo
Ph.D.
University of Southern California (Starting Spring 2026)
Johns Hopkins University Logo
M.S.E in Electrical and Computer Engineering
Johns Hopkins University (2025)
Babol Noshirvani University Logo
B.Sc. in Electrical Engineering
Babol Noshirvani University of Technology (2021)
Babol Noshirvani University Logo
B.Sc. in Mechanical Engineering
Babol Noshirvani University of Technology (2020)