Summary
Rahul Dubey is an Assistant Professor of Computer Science with nine years of experience at the intersection of optimization, machine learning, and artificial intelligence. He holds a PhD from the University of Nevada, Reno and has advanced academic and research roles spanning the UK and US, including a postdoc at the University of York where he applied evolutionary algorithms and ML to engineering design. His doctoral and graduate work focused on evolving neural controllers and micro behaviors in real-time strategy games, demonstrating a knack for translating evolutionary computation into adaptive, high-performance agents. Rahul combines classroom teaching experience across undergraduate and graduate levels with hands-on research into AI-driven design automation and optimization. He is based in the United States and brings a strong record of academic rigor (3.88/4.0 PhD GPA) paired with practical problem-solving in both simulation and applied engineering contexts. An under-the-radar strength is his sustained focus on bridging evolutionary methods with neural models to produce robust, real-time decision systems.
8 years of coding experience
6 years of employment as a software developer
Master of Technology - MTech, Electrical and Electronics Engineering, 8.404/10, Master of Technology - MTech, Electrical and Electronics Engineering, 8.404/10 at National Institute of Technology Kurukshetra
Doctor of Philosophy - PhD, Computer Science, 3.88/4.0, Doctor of Philosophy - PhD, Computer Science, 3.88/4.0 at University of Nevada, Reno
Bachelor of Technology - BTech, Electrical and Electronics Engineering, First Division Grade, Bachelor of Technology - BTech, Electrical and Electronics Engineering, First Division Grade at Dr. A.P.J. Abdul Kalam Technical University
English, Hindi