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 interested in Audio Processing, Machine Learning and Mobile Computing. My recent works focus on developing efficient audio & video processing algorithms for IoT devices.

I got my Bachelor’s degree in EE at the Indian Institute of Technology Roorkee and my Master’s degree in ECE at the University of Washington. During my Master’s, I was advised by Prof. Michael Taylor, and developed a deep learning framework for a bespoke hardware accelerator. Previously, I worked on audio processing ICs at Texas Instruments India.

Recent Works


Bandhav Veluri, Justin Chan, Malek Itani, Tuochao Chen, Takuya Yoshioka, Shyamnath Gollakota
2022 | To appear at ICASSP 2023

NeuriCam: Video Super Resolution and Colorization Using Key Frames

Bandhav Veluri, Ali Saffari, Collin Pernu, Joshua Smith, Michael Taylor, Shyamnath Gollakota
2022 | Accepted at MobiCom 2023

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
2021 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems