Optimal Control & Estimation | Bayesian Inversion | Digital Twins | Deep Learning

I am a Ph.D. candidate in Mechanical Engineering at the University of Kansas (Moving to Michigan State University in Spring 2026). I received a B.Sc. from Sharif University of Technology and an M.Sc. from KU. My graduate studies have been proudly supported by the Wyatt Memorial Scholarships and the National Science Foundation.

My research mission is to build safer, smarter, and faster control systems for complex, high-dimensional systems represented by deep learning dynamical models. I specialize in the intersection of three key fields: optimal control, Bayesian inference, and deep learning.

• Graduate Research Assistant — University of Kansas
• MERL Research Intern & Collaborator (2024)
• Focus: Optimal Control of ML Models, Bayesian Estimation/Inference, Inverse Problems