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 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 to contact with updated resume.
Education
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
HighlightsÂ
[Mar 2024] Our work on "Aggregation-Assisted Proxyless Distillation: A Novel Approach for Handling System Heterogeneity in Federated Learning" is accepted in IJCNN 2024. This is an outcome of B.Tech Project work of Nirbhay Sharma and Mayank Raj.
[Jan 2024] Our work on "Towards soft-robotic assistance of ultrasonic Imaging" is accepted in IEEE South Asian Ultrasonics Symposium (SAUS) 2024.
[Dec 2023] Our work on "Severity of Error in Hierarchical Datasets" is accepted in Scientific Reports. This is an outcome of M.Tech thesis work of Satwik Srivastava.
[Oct 2023] Our work on "Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping" is accepted in IEEE Transactions on Neural Networks and Learning Systems (T-NNLS).
[Jun 2023] Our work on "An Intelligent System with Reduced Readout Power and Lightweight CNN for Vision Applications" is accepted in IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT).
[May 2023] Work by UG students Divyam Patel, Riyanshu Jain, and Dhruv Viradiya on "Knowledge Distillation with Ensemble Calibration" is selected as one of the winning entries of the UG Research Day - 2023.
[May 2023] Work by UG student Aditya Soni is selected as one of the winning entries for the Campus Innovation Prize.
[Feb 2023] Our work on "Clinically Relevant Myocardium Segmentation in Cardiac Magnetic Resonance Images" is accepted in IEEE Journal of Biomedical and Health Informatics (J-BHI).
[Dec 2022] Received Core Research Grant (CRG) from SERB.
[Sep 2022] Our work on "Noise-engineered Data-free Knowledge Distillation" is accepted in NeurIPS 2022.
[Sep 2022] Indian Patent filed on "Automated Personalized Assistance and Monitoring System for People with Special Needs".
[Aug 2022] Winner of Moonshot Competition (first phase) at IIT Jodhpur.
[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.
