Bhavya Vasudeva

Bhavya Vasudeva

Graduate Student

University of Southern California


I am a first year CS PhD student at the University of Southern California, fortunate to be advised by Prof. Vatsal Sharan. I am broadly interested in the theory of machine learning, particularly to understand and improve the robustness and generalization of learning-based methods.

Previously, I was a (remote) Visiting Researcher at CVPR Unit, ISI Kolkata, advised by Prof. Umapada Pal and Prof. Saumik Bhattacharya, working on deep metric learning.

Before that, I graduated from IIT Roorkee with a bachelor’s in Electronics and Communication Engineering. For my joint bachelor thesis, I worked on generative adversarial network-based methods for compressive sensing MRI reconstruction, under the guidance of Prof. Saumik Bhattacharya and Prof. PM Pradhan. I also interned at Northwestern University as an SN Bose Scholar in the summer of 2019.

  • Theory of Machine Learning
  • Generalization
  • Adversarial Robustness
  • Causality
  • PhD in Computer Science, 2026

    University of Southern California

  • BTech in Electronics and Communication Engineering, 2020

    Indian Institute of Technology Roorkee


  • Aug 2021: Started my PhD at USC.
  • Aug 2021: Participated in the CMMRS pre-doctoral summer school.
  • July 2021: Our paper got accepted in IEEE/CVF ICCV.
  • Nov 2020: Puneesh and I received the Singhal’s Tech. for Society Award by IIT Roorkee for our bachelor thesis.
  • July 2020: I graduated from IIT Roorkee.
  • June 2020: I joined ISI Kolkata as a Visiting Researcher.
  • June 2020: Our paper got accepted in IET Healthcare Technology Letters.
  • March 2020: Our paper got accepted in IEEE/CVF CVPR Workshops.
  • Jan 2019: I got selected for the SN Bose Scholars' Program.


Singhal’s Tech. for Society Award
SN Bose Scholar’s Program
KVPY Fellowship
NTSE Scholarship