Scholar
Ali Reza Pedram
Google Scholar ID: OIFfnsEAAAAJ
Assistant Prof., CS, Univ. of Oklahoma | PhD UT Austin | Postdoc GaTech
Citations & Impact
Citations
126
H-index
6
i10-index
5
Publications
19
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Oct 2025: Project 'Task-Aware Compression for Communication-Efficient Multi-Robot Mapping' received seed funding support from the Data Institute for Societal Challenges at the University of Oklahoma; Sep 2025: Paper 'Go With the Flow: Fast Diffusion for Gaussian Mixture Models' accepted as a Spotlight at NeurIPS 2025; Jun 2025: Paper 'Steering Large Agent Populations using Mean-Field Schrödinger Bridges with Gaussian Mixture Models' accepted for publication in L-CSS and for presentation at CDC 2025; May 2025: Attended ICRA 2025, co-chaired the session on 'Multi-Robot Exploration', and presented the paper 'Communication-Aware Iterative Map Compression for Online Path-Planning'.
Research Experience
- Currently a tenure-track Assistant Professor in the School of Computer Science at the University of Oklahoma; Previously a Postdoctoral Fellow at Georgia Institute of Technology; Conducted Ph.D. research at the University of Texas at Austin; Former researcher at the Max Planck Institute for Intelligent Systems.
Education
- Ph.D. in Mechanical Engineering from the University of Texas at Austin; Postdoctoral Fellow at Georgia Institute of Technology, affiliated with the Department of Aerospace Engineering; Undergraduate studies at Sharif University of Technology, double major in Mechanical Engineering and Physics; Researcher at the Max Planck Institute for Intelligent Systems in Germany.
Background
- Research interests: autonomy, robotics, and machine learning, particularly in developing AI and ML systems for robotic applications. Focus on data-efficient learning, probabilistic generative models for planning and control, and decision-making under uncertainty in both single-agent and multi-agent systems.
