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

I am a Ph.D. candidate in Mechanical Engineering at Michigan State University. I received a B.Sc. from Sharif University of Technology and an M.Sc. from the University of Kansas. 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 — Michigan State University
• MERL Research Intern & Collaborator (2024)
• Focus: Optimal Control of ML Models, Bayesian Estimation/Inference, Inverse Problems