Dileep Kalathil

Dileep Kalathil is an Associate Professor in the Department of Electrical and Computer Engineering (ECE) at Texas A&M University (TAMU), with an affiliation in the Department of Computer Science & Engineering. He holds the Holleran-Bowman Faculty Fellowship and co-directs the Learning and Emerging Networked Systems (LENS) Lab. His research focuses on developing robust, safe, and scalable reinforcement learning (RL) algorithms for autonomous systems in domains like robotics, power grids, and communication networks. He earned his Ph.D. from the University of Southern California and completed postdoctoral research at UC Berkeley.

Education:

• Postdoctoral Scholar, UC Berkeley (2014–2017)
• Ph.D., Electrical Engineering, University of Southern California (2014)
• M.Tech., Electrical Engineering, IIT Madras (2008)
• B.Tech., Electronics & Communications, NIT Calicut (2006)

Research Interests:

• Reinforcement Learning theory and applications
• Robust/safe RL for autonomous systems
• RL in robotics, power systems, and wireless networks
• Multi-armed bandits and decentralized learning
• Algorithmic control and optimization

Publications & Trends: His work bridges theoretical RL advancements with practical implementations, emphasizing real-world challenges like simulation-to-reality gaps, safety constraints, and multi-agent coordination. Recent efforts include RL for UAV control, edge computing, and semiconductor co-design, reflecting his focus on interdisciplinary applications.

Awards & Grants:

• NSF CAREER Award (2021)
• NSF FuSe Program Grant (2024) for edge RL co-design
• ONR Grant for autonomous UAV systems (2023)

Advising & Labs: Supervised 9 PhD and Master’s students, many transitioning to academia and industry roles. The LENS Lab collaborates on projects like robust UAV landing algorithms and power grid optimization.