Kundan Kumar
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Kundan Kumar

Research Scientist | Safe Reinforcement Learning, Multi-Agent Systems & LLM Agents

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Hi! I’m Kundan Kumar, a Ph.D. candidate in Computer Science at Iowa State University. My research focuses on creating intelligent and adaptable AI systems for next-generation cyber-physical infrastructure, integrating deep reinforcement learning (DRL), multi-agent systems, large language models (LLMs), and computer vision.

I develop safety-critical DRL frameworks that incorporate domain knowledge and uncertainty, enabling reliable decision-making in complex environments. Recent projects include exploring transfer learning and enhancing adversarial resilience across systems. I also create LLM-integrated simulation frameworks for autonomous systems, combining perception, trajectory planning, and natural language reasoning.

Outside of research, I share insights on Substack and YouTube. I enjoy cooking and ice skating 🛼 in my free time.


Other Research Interests

LLM Reasoning & Agents
Agentic workflows (LangChain/LangGraph), tool-use, memory, retrieval, planning & reflection loops for robust multi-step reasoning.
Statistical ML
Uncertainty quantification, probabilistic modeling, and data-driven inference in dynamic environments.
Autonomous Perception & Control
Vision-based perception (detection, segmentation, sensor fusion) integrated with learning-based control and trajectory planning for autonomous systems.

Explore My Work

Blogs

Building Safer AI: Alignment and Robust Cyber-Physical Systems

Why the next generation of AI must be predictable, aligned, and physically grounded

Kundan Kumar
Dec 4, 2025
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Talks

A Multi-Objective Optimization Framework for Carbon-Aware Smart Energy Management
Kundan Kumar
Oct 29, 2025
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Publications

Advanced Semi-Supervised Learning With Uncertainty Estimation for Phase Identification in Distribution Systems
Kundan Kumar
Nov 10, 2025
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Projects

Badge for the RAG-Enhanced Energy Advisor showing document and energy icons.

RAG-Enhanced Energy Advisor
Kundan Kumar
Dec 16, 2025
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News Highlights

[Dec 2025]
BlueDot Impact
Participated in an AI Strategy and AI Safety program hosted by BlueDot Impact , focusing on long-term AI risk, governance, and responsible deployment of advanced AI systems.
[Sep 2025]
Electric Power Systems Research
Our paper on Bayesian-Optimized Bidirectional Long-Short-Term Memory network for Wind Power Forecasting with Uncertainty Quantification has been accepted to Journal on Electric Power Systems Research 2026 .
[Jul 2025]
Cohere Labs
Selected for the Cohere Machine Learning Summer School , hosted by Cohere Labs.
[Mar 2025]
IEEE PES General Meeting
Our paper on Advanced Semi-Supervised Learning with Uncertainty Estimation for Phase Identification in Distribution Systems has been accepted to Conference on IEEE PES General Meeting 2025 .

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