Welcome to the Learning and Information Theory for Engineering Systems (LITES) Lab at the School of ECE at Georgia Tech, led by Prof. Viveck Cadambe. Our lab develops foundational understanding of systems and algorithms that learn, process, transfer or store information. We are interested in several applications including:
Distributed Machine Learning
Security and Data Privacy
Large-Scale Data Storage and Databases
Wireless Communication Networks
We commonly use tools from information theory to analyze engineering systems, uncover their design principles, and obtain fundamental limits. We also often develop prototypes to demonstrate empirical performance, and improve/refine the models.
Hiring
There are open positions in the LITES lab for Ph.D. students in Fall 2025. We are interested in candidates who have strong mathematical background with interest in conducting theoretical research broadly in machine learning, communications and data storage systems. Candidates with exceptional systems building skills, and expertise in distributed algorithms and systems are also encouraged to apply.
You are welcome to contact me (Prof. Cadambe) via email; however, due to the high volume of emails received, I may not be able to respond to all inquiries. I encourage you to apply to the graduate program at Georgia Tech and express interest in working with me.