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Hi, I'm Kundan Kumar — a Ph.D. Candidate in Computer Science with a minor in Statistics at Iowa State University.
🔬 My research focuses on Deep Reinforcement Learning, LLM-based intelligent control, and AI for Smart Grids.
⚡ I’m passionate about designing physics-informed, sustainable, and secure AI systems.
💻 I enjoy teaching, mentoring, and developing AI-powered applications for societal impact.
📫 Reach me at cs.kundann@gmail.com
You can follow my work on
📰 Substack |
🎥 YouTube
My research focuses on building robust and adaptive AI systems for cyber‑physical infrastructure, particularly in smart energy en‑ vironments. I develop scalable algorithms that integrate deep reinforcement learning (DRL), probabilistic modeling, and physics‑ informed learning to improve control, safety, and generalization under uncertainty. My work addresses challenges in transferability, adversarial robustness, and data efficiency by embedding domain constraints into learning processes and designing agents capable of operating in dynamic, resource‑constrained settings. I also explore the integration of large language models (LLMs) to enhance context‑awareness and human‑AI interaction in control frameworks.
Deep Reinforcement Learning • Federated Learning • Smart Grid Optimization • Adversarial Robustness • Generative AI • LLM Agents
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"The best way to predict the future is to invent it." – Alan Kay
Let's build that future — together.