Arindam Ghosh

AI & biomedical imaging researcher seeking a Ph.D. to innovate healthcare

Greetings! I am a researcher from India with a strong passion for utilizing technology to solve real-world problems. I have always been fascinated by the intersection of computer vision and medical imaging, and I am currently pursuing my research project on developing a machine-learning model to reconstruct the energy of protons based on their trajectories in a proton computed tomography (pCT) scanner [Poster] at the medical physics group in IFAE, Barcelona.

My ultimate goal is to use my expertise in computer vision and medical imaging to make a meaningful impact in the healthcare industry. To further my career in this field, I am actively searching for Ph.D. programs that are aligned with my research interests, and I am particularly interested in working with innovative AI research labs that focus on healthcare.

My Curriculum vitae

NASA TOPS Community Forum Panelist

We present our work and serve as a panelist at the NASA Transform to Open Science (TOPS) April Forum, where we engaged with experts in the field and shared our team's insights and achievements.

Contributing to advancing open science and being recognized for our efforts is a privilege, and I am honored to have been part of such a prestigious competition.

ScienceAtNASA: Video Recording
Certificate: Certificate
Github: The-Open-Metric
Zenodo: 10.5281/zenodo.7826161

BIST-MMRES Scihack 2023 hackathon

Organized the BIST-MMRES Scihack 2023 hackathon for high school students in Catalonia, Spain, with the goal of promoting scientific thinking and problem-solving skills. Led the conceptualization of the event, identified problem statements, and managed event logistics to ensure a successful execution.
Link to the Webpage: bist-scihack23.github.io
Link to the Instagram: instagram.com/bist_sciencehack23/

Smart India Hackathon 2022 Winners

Our Team Cyclone Vision was the Winner of ISRO's special Problem Statement. The problem statement was Using half-hourly INSAT-3D/3DR IR images from mosdac, we needed to curate our own dataset to train a deep-learning model to estimate tropical cyclone intensity estimation and to localize the cyclone. Further, we had to develop a web application for visualization of the imagery including relevant location and speed estimation data together with historical data visualization.

The paper for the dataset has been submitted to ICLR 2024. I Will add an Arxiv link soon.

NASA SpaceApps Challenge 2022 Global Finalist

The Open Metric project proposes a new metric system that measures the impact of scientific research on society, taking into account credibility, accessibility, and societal engagement. The credibility factor, which carries a weight of 50%, is based on the citation index. The accessibility factor, which has a weight of 25%, measures if the content is available in an open-access format. The societal engagement factor, also with a weight of 25%, considers social media interaction and online reader behavior. The Open Metric aims to address the lack of metrics that measure the effectiveness and impact of science on society.
Github Page

Project Page