Jay N Paranjape

I am a PhD student at the Johns Hopkins University, working with Dr. Vishal M. Patel. I study Computer Vision, Machine Learning, and AI. More specifically, I am interested in developing innovative solutions to adapt Vision Language Models (VLMs) to constrained environments, like downstream applications in Healthcare and remote sensing.

Previously, I worked as a Data and Applied Scientist at Microsoft. Before that, I received my Bachelor's in Computer Science from IIT Delhi, India in 2021. During this time, I worked closely with Dr. Chetan Arora and AIIMS Delhi on Computer Assisted Tumor Detection. I have also worked with Dr. Vinay Ribeiro on applications of ML in Cybersecurity.

Email / CV / Google Scholar / Github / LinkedIn

News

September, 2024 - 1 paper accepted at NEURIPS 2024 .
June, 2024 - 1 paper accepted at MICCAI 2024 .
May, 2024 - 1 paper accepted at MICCAI 2024 Spotlight, Early Accept.
May, 2024 - 1 paper accepted at MIUA 2024
November, 2023 - 1 abstract accepted for Poster Presentation at ACS Surgeons and Engineers Meet 2024 .
October, 2023 - 1 abstract accepted for Oral Presentation at ACS Surgeons and Engineers Meet 2024 .
June, 2023 - 1 paper accepted at MICCAI 2023 .
August, 2023 - Joined Johns Hopkins University for my PhD.
August, 2022 - Joined Johns Hopkins University for my Masters.

Teaching

Teaching Assistant: Deep Learning Spring 2024, Johns Hopkins University

Teaching Assistant: Big Data in Machine Learning Fall 2023, Carey Business School, Johns Hopkins University

Selected Publications and Preprints

	Black-Box Adaptation for Medical Image Segmentation MICCAI 2024 Early Accept Jay N. Paranjape , Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel Paper \| Code \| Project
	AdaptiveSAM: Towards efficient tuning of SAM for surgical scene segmentation MIUA 2024 Jay N. Paranjape , Nithin Gopalakrishnan Nair, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel Paper \| Code \| Project
	Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos MICCAI 2023 Jay N. Paranjape ,Shameema Sikder, Vishal M. Patel, S. Swaroop Vedula Paper \| Code
	Improving ML detection of IoT botnets using comprehensive data and feature sets COMSNETS 2021 Misha Mehra, Jay N. Paranjape , Vinay J Ribeiro * - Equal Contribution Paper

Services

Web Chair: Workshop on Robust and Adaptive Artificial Intelligence for Mission Critical Applications at ICASSP 2025

Reviewer at:

Conferences :

CVPR, MICCAI, NEURIPS, IPCAI, MIUA

Journals :

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)

IEEE Transactions on Medical Imaging (TMI)

source code