Ali Reza Pedram

Email | GitHub | LinkedIn | Google Scholar

Headshot_Ali_Reza_Pedram.jpg

Email: apedram@ou.edu

I'm a tenure-track Assistant Professor in the School of Computer Science at the University of Oklahoma. My research lies at the intersection of autonomy, robotics, and machine learning, with a particular focus on developing AI and ML systems for robotic applications. I am especially interested in data-efficient learning, probabilistic generative models for planning and control, and decision-making under uncertainty in both single-agent and multi-agent systems. A central theme of my work is designing algorithms that enable intelligent agents to reason, learn, and act efficiently with minimal processing, sensing, and communication.

Previously, I was a Postdoctoral Fellow at the Georgia Institute of Technology, affiliated with the Department of Aerospace Engineering. Prior to joining Georgia Tech, I earned my Ph.D. in Mechanical Engineering from the University of Texas at Austin, where my research focused on robotics and autonomous systems. Before that, I was a researcher at the Max Planck Institute for Intelligent Systems in Germany. I completed my undergraduate studies at Sharif University of Technology, where I pursued a double major in Mechanical Engineering and Physics.

News

Aug, 2025
I’ve officially started my new role as an Assistant Professor in the School of Computer Science at the University of Oklahoma.
Jun, 2025
Jun, 2025
Our paper Steering Large Agent Populations using Mean-Field Schrödinger Bridges with Gaussian Mixture Models has been accepted for publication in L-CSS and for presentation at the (CDC) 2025.
May, 2025
Attended ICRA 2025 in Atlanta. I co-chaired the session on Multi-Robot Exploration, and we also presented our paper: Communication-Aware Iterative Map Compression for Online Path-Planning.
May, 2025