Resume
Academic Achievements
- - 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.