Ashkan Yousefpour

Ashkan Yousefpour is a Computer Scientist with a PhD from the University of Texas at Dallas, where he contributed to the FLOW project. He served as a Lecturer and research assistant at UT Dallas, while also working as a Visiting Researcher at UC Berkeley. His research spans Fog/Edge Computing, Federated Learning, Reinforcement Learning, and Distributed Systems.

• Current Role: AI Scientist at Meta
• Academic Affiliation: Department of Computer Science, University of Texas at Dallas

Research Interests include:

• Minimizing IoT service delay through fog offloading
• Developing failure-resilient distributed neural networks (ResiliNet)
• Advancing privacy-preserving machine learning (Opacus, Papaya)
• Optimizing traffic flow with autonomous vehicles via reinforcement learning

Advising: Supervised multiple graduate students including Ashish Patil, Harshavardhan Nalajala, and Brian Nguyen. Collaborated with researchers like Professor Alexandre Bayen (UC Berkeley) and Professor Cathy Wu (MIT) on traffic control frameworks such as Flow.