Vidya Srinivas

PhD Student @ UW CSE

Hello! I am a PhD student at the University of Washington advised by Prof. Shwetak Patel as a part of the Ubicomp Lab.

My research interests lie at the intersection of human-computer interaction, systems, and intelligence, with primary application areas being speech/conversational AI and AI for health.

I previously obtained my bachelor’s degree in computer engineering from the University of Michigan ECE, where I was fortunate to work with Prof. Robert Dick on embedded systems and resource-constrained ML.

🚧 This website is under construction. 🚧

News

  • 05/25: Our paper “Substance over Style: Evaluating Proactive Conversational Coaching Agents” was accepted to ACL 2025 Main Track! Poster presentation in Vienna, Austria.

  • 01/25: Honored to receive the NCWIT AiC Collegiate Award for my research on human-centered intelligent systems!

  • 10/24: Won the Madrona Prize Runner Up for my work on Knowledge Boosting during Low-Latency Inference!

  • 07/24: Started a position as a student researcher at Google Health!

  • 06/24: Our paper “Knowledge Boosting: Model Collaboration During Low-Latency Inference” was accepted to Interspeech 2024! Oral presentation in Kos Island, Greece.

Publications

paper icon Substance over Style: Evaluating Proactive Conversational Coaching Agents Vidya Srinivas, Xuhai Xu, Xin Liu, Kumar Ayush, Isaac Galatzer-Levy, Shwetak Patel, Daniel McDuff, Tim Althoff
TL;DR Collaborative conversational paradigms allow better context-seeking and therefore better personalized recommendation in open-ended conversations.
Paper
ACL 2025, Main Track
paper icon Knowledge Boosting: Model Collaboration During Low-Latency Inference Vidya Srinivas, Malek Itani, Tuochao Chen, Sefik Emre Eskimez, Takuya Yoshioka, Shyamnath Gollakota
TL;DR Allowing models on tiny devices to recieve time-delayed hints from larger off-device models but still output in real time.
Paper Code Website
Interspeech 2024
paper icon LoRa Synchronized Energy-Efficient LPWAN Boyang Zhang, Vidya Srinivas, Yan Zhang, Robert P. Dick
TL;DR A dynamically configuring LoRa network for use in low-power agricultural monitoring.
Paper Code
IEEE ICC 2023