Salman Sadiq Shuvo

Salman is an Data Scientist in Analytics and Learning Team, where he develops and deploys advanced AI models for real-world challenges in transportation, cybersecurity, and energy systems. His expertise spans Deep Reinforcement Learning, Large Language Models, and Retrieval-Augmented Generation , with recent work including multi-agent traffic control, cyber-layer mapping, and wildfire documentation tools. He holds a Ph.D. in Electrical Engineering from the University of South Florida, where his research focused on RL-based optimization for energy and socioeconomic. 

Dr. Shuvo’s work has been published in leading venues such as IEEE Transactions, ICML, and IJCNN. Salman combines strong academic rigor with hands-on implementation skills, including TensorFlow, PyTorch, Docker, and Transformers. A former intern at Samsung Research America, he also brings applied insights into wireless communication analytics. He is a recipient of multiple travel and academic fellowships and has held leadership roles in academic and cultural organizations, reflecting his dedication to community building and interdisciplinary collaboration. 

Email: salmansadiq@usf.edu

Office: ENB-II, 237, Tampa, Florida 33620

Resume  | LinkedIn | github | Google Scholar