I’m a PhD student in Computer Science at the University of Washington. I work in the Mobile Intelligence Lab advised by Prof. Shyam Gollakota and Prof. Michael Taylor. I’m also working at Meta AI as a visiting researcher. I’m interested in Human-AI Interaction, Speech/Audio modeling, and Wearable Computing.

My recent works focus on developing intelligent on-device applications for wearable devices. I got my Bachelor’s degree at the Indian Institute of Technology Roorkee and my Master’s degree at the University of Washington.

Recent Works

Look Once to Hear: Target Speech Hearing with Noisy Examples
Bandhav Veluri*, Malek Itani*, Tuochao Chen, Takuya Yoshioka, Shyamnath Gollakota
ACM CHI 2024 🏆 Best paper honorable mention 🏆
Paper Website GitHub


SeamlessExpressiveLM: Speech Language Model for Expressive Speech-to-Speech Translation with Chain-of-Thought
Hongyu Gong, Bandhav Veluri
Arxiv tech report 2024
Paper

Semantic Hearing: Programming Acoustic Scenes with Binaural Hearables
Bandhav Veluri*, Malek Itani*, Justin Chan, Takuya Yoshioka, Shyamnath Gollakota
ACM UIST 2023
Paper Website GitHub


Real-Time Target Sound Extraction
Bandhav Veluri, Justin Chan, Malek Itani, Tuochao Chen, Takuya Yoshioka, Shyamnath Gollakota
IEEE ICASSP 2023
Paper Website GitHub

NeuriCam: Video Super Resolution and Colorization Using Key Frames
Bandhav Veluri, Ali Saffari, Collin Pernu, Joshua Smith, Michael Taylor, Shyamnath Gollakota
MobiCom 2023
Paper Website GitHub

A Tensor Processing Framework for CPU-Manycore Heterogeneous Systems
Lin Cheng, Peitian Pan, Zhongyuan Zhao, Krithik Ranjan, Jack Weber, Bandhav Veluri, Seyed Borna Ehsani, Max Ruttenberg, Dai Cheol Jung, Preslav Ivanov, Dustin Richmond, Michael B Taylor, Zhiru Zhang, Christopher Batten
TCAD 2022
Paper GitHub

(*Co-primary authors)