My journey began in 2010 with Healthcare R&D team in Siemens Information Systems Ltd. I was fortunate to work with some of the best mentors on challenging problems. It setup platform for an in-depth and rigorous research and motivated me to join IIT Delhi for higher studies. I explored different domains while consistently remaining active in my doctoral research. I am continuing my journey as Assistant Professor at the Department of Computer Science and Engineering, IIT Jodhpur.

I am interested in fundamental as well as applied research problems of machine learning, resource constrained AI, medical image analysis, and Biomedical Circuits and Systems. I have funded PhD and RA positions available in my group. Students with strong research aptitude are encouraged contact me with updated resume.


  • PhD in Computer Technology (Electrical Engineering), IIT Delhi, 2019

  • M. Tech in Computer Technology, 2013, IIT Delhi

  • B. Tech in Electronics and Communication Engineering, Indian Institute of Information Technology Jabalpur, 2010


  • [May 2022] Indian Patent filed on "Adaptive Frame Resolution Based Image System for Always-On Imaging Applications".

  • [Mar 2022] Our work on "BAFL: Federated Learning with Base Ablation for Cost Effective Communication" is accepted in ICPR 2022.

  • [Mar 2022] Our work on "AI driven Wide Dynamic Range CMOS Image Sensor" is accepted in AICAS 2022.

  • [Mar 2022] Delivered invited talk on "Current Trends in Medical Imaging" in the webinar organized by IIT Mandi iHub and HCI Foundation.

  • [Jan 2022] Our work on "Data Driven Estimation of COVID-19 Prognosis" is accepted in ISBI 2022.

  • [Dec 2021] Our work on "Branching Out for Btter BYOL" is accepted in NeurIPS 2021 Workshop: Self-Supervised Learning - Theory and Practice.

  • [Nov 2021] A Student Abstract on “MBGRLp : Multiscale Bootstrap Graph Representation Learning On Pointcloud,” is accepted in AAAI 2022