Summary
Ehsan Saleh is a PhD-level researcher and engineer with nine years of experience at the intersection of security, AI, and privacy-preserving systems, currently pursuing a PhD in Computer Science and Engineering at The Ohio State University. As a Graduate Research Associate under Dr. Raef Bassily, he designs differential privacy frameworks for LLMs, federated learning, and cross-domain ML, blending theoretical rigor with practical implementations. His background spans teaching core CS courses, hands-on networking and IT roles, and leadership in robotics clubs, giving him a strong systems-and-education perspective. Previously trained in information technology (MS) and electrical engineering (BS), he brings multidisciplinary depth to applied AI privacy problems. Based in Columbus, Ohio, he also researches reinforcement learning and few-shot learning, signaling a focus on sample-efficient, privacy-aware learning. Colleagues describe him as a pragmatic researcher who moves ideas from theory to reproducible code and classroom impact.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Information Technology, Master of Science - MS, Information Technology at Tomsk State University
Bachelor of Science - BS, Electrical, Electronic and Communications Engineering, Bachelor of Science - BS, Electrical, Electronic and Communications Engineering at Shahid Beheshti University
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at The Ohio State University
Persian, English, Russian