Yatis K. Dodia serves as the branch head for Quantitative Methods within ASID in GTRI’s CIPHER lab. His work focuses on the intersections of classical and quantum information theory, machine learning, and computational complexity for applications to cybersecurity. Another core thrust is trusted communications, such as aiming to leverage zero trust principles within 5G networks, and the potential for using robust AI/ML methods for threat detection and optimal mitigation. Previously, he has worked with ion-trap quantum computing and for a large telecom where he was the lead engineer in transitioning to IP-based technologies and standardizing Consumer Edge (CE) network topologies.
- Edge ML
- AI/ML for Health
- Cyber-Physical Systems
- Cybersecurity for Transportation Networks