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 problems at the intersection of Mobile Computing and Machine Learning. My recent work focusses on developing efficient video and audio 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 worked on developing a deep learning framework for a bespoke hardware accelerator. Previously, I worked on audio signal chain projects at Texas Instruments India.

Recent Works


Bandhav Veluri, Justin Chan, Malek Itani, Tuochao Chen, Takuya Yoshioka, Shyamnath Gollakota
2022 | (Under review)

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