- Received multiple NSF grants, including “Edge Reinforcement Learning with Algorithm, Architecture and Circuit Co-Design,” “Combining Deep Reinforcement Learning Control with Novel Vertical Flight Concepts for Robust Ship-based Operation,” and “EdgeRIC: Empowering Real-time Intelligent Control and Optimization for NextG Cellular Radio Access Networks”
- Supervised several Ph.D. students who have graduated and joined institutions such as Amazon, Caltech, UCSD, and HP Labs
- Featured in TAMU Research Bulletin and College of Engineering News
- Co-organized workshops such as “Foundations of Systems and Control for the 21st Century” and “ReStoq: Reinforcement learning and stochastic control in queues and networks”
- Received NSF CAREER Award
- Elevated to IEEE Senior Member
Research Experience
- Associate Professor at Texas A&M University
- Co-directs the Learning and Emerging Networked Systems (LENS) Lab
- Research focuses on reinforcement learning theory and algorithms, with applications in mobile robotics, communication networks, power systems, hardware security, and large language models
Education
- Ph.D. from the University of Southern California (USC), Advisor: Rahul Jain
- Postdoctoral researcher at the EECS department at the University of California, Berkeley, working with Prof. Pravin Varaiya and Prof. Kameshwar Poolla
Background
Dileep Kalathil is an associate professor in the Department of Electrical and Computer Engineering and the Department of Computer Science and Engineering (affiliate) at Texas A&M University (TAMU). His research area is reinforcement learning theory and algorithms, and their applications.