Ittehad Saleh Chowdhury is a Lecturer in CSE at BRAC University and a CSE graduate of the University of Dhaka. In his undergraduate years, he was active in competitive programming. He has professional experience across multiple software companies and frontier AI labs, including leadership roles on large, cross-functional teams. His research interests span distributed machine learning, especially federated learning for mobile/edge systems and networking—and large language models, with hands-on work in RLHF, agentic workflows, and benchmarking.

Ullah, R., Chowdhury, I., Razzaque, M.A., Roy, P., Hassan, M.M. (2025). Federated Deep Reinforcement Learning for Optimal Resource Allocation in Vehicular Edge Computing. In: Arai, K. (eds) Intelligent Computing. CompCom 2025. Lecture Notes in Networks and Systems, vol 1425. Springer, Cham. https://doi.org/10.1007/978-3-031-92608-2_20

Dhaka University Dean's Award 2023