EdgeRIC tutorial - Real time AI-in-the-loop for Cellular Networks
Workshop Tutorial at srsRAN Workshop 2024, Arlington, Washington D.C
I am a fourth-year Ph.D. student in the Electrical and Computer Engineering department at UC San Diego, working with Prof. Dinesh Bharadia in the Wireless Communication, Sensing, and Networking Group WCSNG.
I completed my B.Tech in Electronics and Communication Engineering from the National Institute of Technology, Durgapur (NITD), India. Later, I earned my MS in Electrical and Computer Engineering from the University of California, Los Angeles (UCLA), specializing in systems and signals.
Before starting my doctoral studies, I worked at Qualcomm, San Diego, where I focused on 5G NR protocol optimizations for extended reality (XR) applications. Motivated by the desire to delve deeper into research, I returned to UCSD to pursue my Ph.D.
My research lies at the intersection of wireless communication, networked systems, and AI-driven optimization. I design systems and algorithms that enhance the performance and programmability of next-generation wireless networks, with a particular focus on application-aware and edge-native 5G architectures. Recently, my work has expanded to explore how large language models (LLMs) and autonomous network agents can be integrated into the networking stack to enable reasoning-driven control, log analysis, and self-optimizing infrastructure. Broadly, my goal is to bridge the gap between application-level experience (QoE) and network-level intelligence, enabling networks that can understand, reason, and adapt - bringing us closer to AI-native communication systems.
Refer to my project website EdgeRIC
Workshop Tutorial at srsRAN Workshop 2024, Arlington, Washington D.C
Workshop Tutorial at Mississippi State University, Starkville, MS
Conference Proceedings Talk at NSDI 2024, Santa Clara, California