1. Pon Deepika, M.tech. (IIT Madras, 2016-2018)

Ph. D. Student

Deepika joined the BioMedia Lab as a Ph. D. student in July 2023. She received her Master's degree in the Department of Engineering Design from IIT Madras in 2018.  Prior joining to BioMedia Lab she holds a work experience of 3 years as Research Associate in IIITB, Bangalore. At BioMedia Lab, she works on Development of deep learning techniques to automate the detection of CSVD signs and explore their interplay and causal connections with cerebrovascular and neurodegenerative diseases. [LinkedIn]

2. Tarun Kumar Garg,  MSc Mathematics. (IIT Bombay, 2020-2022) 

Ph. D. Student

Tarun Kumar joined the BioMedia Lab as a Ph. D. student in August 2024. He has secured his Master's degree in the Department of Mathematics from IIT Bombay in 2022. Prior joining the BioMedia Lab, he has worked as Consultant at EXL Services and holds an experience of 1.5 years. [LinkedIn] 

3. Ramanujam Narayanan, B.Tech. (GGSIPU)

M.Tech (Research)

Ramanujam joined the BioMedia Lab as M.Tech (Research) in 2022. He has achieved his Bachelor's degree in the Department of Computer Science from Guru Gobind Singh Indraprashtha University (GGSIPU). He is working on a weakly supervised segmentation method which generates artificial tumours for improving downstream segmentation task.

4. A. S. Anudeep, MSc Physics. (IIT Hyderabad, 2020-2022)

M.Tech (Research)

Anudeep joined the BioMedia Lab as M.Tech (Research) in 2023. He has earned his Master of Science degree in Physics from IIT Hyderabad in the year 2023. He is working on Out-of-distribution (OOD) detection in medical imaging is vital for the reliability of deep learning models which focuses on identifying samples that differ from the training distribution, helping to prevent misdiagnoses and improve patient safety. He has received the Academic Excellence Award in 2022 during his MSc in Physics. Apart from academics , he also enjoys watching movies and anime, taking walks, and savoring good food. [LinkedIn]

5. Maunil Hitesh Shah, B.Tech in Mechanical Engineering (2018-2022)

M.Tech (Research)

Maunil joined the BioMedia Lab in the year 2024. He has achieved his Bachelor's degree in the Department of Mechanical Engineering in the year 2022. Prior to joining BioMedIA Lab, he has a work experience as a Data Scientist at a startup. He has secured an AIR of 447 in GATE CSE in the year 2024. Apart from academics he loves playing volleyball. [LinkedIn]

6. Dhamale Vivek Shrikrishna, B.Tech in Mechanical Engineering (2017-2021)

M.Tech (Coursework)

Vivek joined the BioMedia Lab as M.Tech (Cousework) in 2023 with interests in computer vision, NLP, generative models, and deep learning applications in medical imaging. He is working on , The scarcity of labeled data in medical imaging presents a significant challenge for training segmentation models due to the time, labor, and cost involved in generating pixel-level annotations, which require specialized medical knowledge. Weakly supervised segmentation (WSS) addresses this by using partial labels, such as image-level annotations, to reduce dependency on detailed annotations. This project focuses on generating multiclass segmentation masks from image-level labels for medical imaging datasets, leveraging CAMs and foundational models for improved efficiency. Apart from academics he defines himself as a foosball enthusiast—perfecting his shots with recall and precision, accurate and always on target. [LinkedIn]

7. Karan Raj Bagri, B.E in Information Technology (2019-2023)

M.Tech (Coursework)

Karan joined the BioMedia Lab in the year 2023. He is working on Low Data Federated Learning for Medical Image Segmentation. This project leverages Federated Learning (FL) to collaboratively train models for detecting brain MRI abnormalities across institutions, addressing privacy constraints, data heterogeneity, and limited data availability through synthetic data generation and FL techniques tailored for low-data regimes. He is a curious engineer with a strong interest in artificial intelligence, particularly in multi-modal large language models and representation learning. [LinkedIn]

8. Ghanshyam Dhamat, B-Tech Mechanical Engineering (2016 – 2020)

M.Tech (Coursework)

Ghanshyam Dhamat joined the BioMedia Lab as an M.Tech coursework student in 2024. Prior to joining IISc, he worked as a Deployment Manager at an Industrial IoT company for approximately three years, gaining hands-on experience in deploying large-scale data-driven solutions. He secured an All India Rank of 6 in the GATE Mechanical Engineering paper and an All India Rank of 1 in the GATE Engineering Science paper. He is actively engaged in strengthening his expertise in data structures, algorithms, and deep learning. Beyond academics, he enjoys playing cricket and chess occasionally. [LinkedIn]