Hello!
Iām Kundan Kumar ā a Ph.D. candidate and researcher building safe and trustworthy AI systems for real-world autonomous applications. My research integrates deep reinforcement learning (DRL), physics-informed AI, and safe control to create robust agents for smart energy systems, robotics, and autonomous vehicles.
In 2024, I worked as a Machine Learning Engineer Intern at the National Renewable Energy Laboratory (NREL), where I designed a Bayesian semi-supervised learning algorithm for phase identification on small, limited, and unreliable datasets. This work will be presented at the IEEE PES General Meeting 2025.
Iām passionate about democratizing AI knowledge. I create educational content simplifying AI, ML, and statistics on Substack and YouTube.
Outside of research, I enjoy cooking and skating. š¼
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