About Me

Hi, I'm Ushasi ๐Ÿ‘‹ a fourth-year Ph.D. student in Electrical & Computer Engineering at UC San Diego, building the next generation of AI-native wireless networks.

I work with Prof. Dinesh Bharadia in the Wireless Communication, Sensing, and Networking Group WCSNG. Before my Ph.D., I earned my MS at UCLA and B.Tech at NIT Durgapur, and worked at Qualcomm on 5G NR protocol optimizations for extended reality (XR) applications.

Networked Systems AI/ML Optimization Edge-native 5G & Open RAN Application QoE Physical AI Satellite Networks (NTN)

Research Overview


My long-term vision is to build user-centric networked systems that tightly couple application-level experience (QoE) with network-level control. Today's networks expose rich telemetry across the stack, yet application adaptation stays largely decoupled from these signals. This is increasingly limiting for latency-sensitive workloads such as live streaming, XR, cloud gaming, and interactive AI, where small transport or scheduling fluctuations cause perceptible experience degradation. My work studies how transport dynamics, queue management, and radio scheduling jointly shape end-user experience, arguing for a shift from utilization-centric optimization to experience-aware networks.

๐Ÿš€ Explore my flagship project, EdgeRIC: real-time intelligent optimization and control for NextG cellular networks.

Selected Talks


EdgeRIC tutorial - Real time AI-in-the-loop for Cellular Networks

srsRAN Workshop 2024 October 2024 Arlington, Washington D.C
Workshop Tutorial
Watch

Hands-on tutorial session: EdgeRIC

Mississippi State University August 2024 Starkville, MS
Workshop Tutorial
Watch

EdgeRIC: Empowering Real-time Intelligent Optimization and Control in NextG Cellular Networks

NSDI 2024 April 2024 Santa Clara, California
Conference Proceedings Talk
Watch