Ph.D. Scholar (Ongoing)

1. Abin S: Spiking Neural Networks for Medical Imaging. ( August 2024-).

2. Meenakshi: Robust Deep Learning Methods for QSM Reconstruction. ( August 2025-).

BS-MS Students Major Project (Ongoing)

1. Aparna B.G. : Test time Adaptation in Medical Imaging (Data Science). 

2. Gowry Nandana : Simultaneous Object detection and Segmentation in Biomedical Images (Data Science).

3. Siraj T.M. : Uncertainty aware QSM Reconstruction (Data Science).

BS-MS Students Major Project (Completed)

1. Aaqilah A J : QSM reconstruction method with clinical applications (Data Science). 

2. Goutham Raj : Classification of Aerial Vehicles using a Lightweight Model (Data Science).  

3. Hisham Hassan O T : Breast Cancer Screening using Digital Mammography Images (Data Science). 

4. Ingole Prasmit Pralhad : Wildfire Risk Classification using High-Resolution Remote Sensing Imagery (Mathematics).

5. Jovita Biju : Neural Operator-Based Biomedical Modelling and Imaging (Data Science) [External].

6. Sourav Ramachandran: Medical Image Segmentation using Quantized Models (Data Science). 

Internships (Completed)

1. S. Sutharya [Intern, M.Sc. in Computer Science (AI & DS), Kerala]: Project: Lightweight Deep Learning Approaches for Breast Cancer Classification using Digital Mammography Images (May to July 2024).

2. Bassmon T. Baby [Intern, MCA MACFAST, Kerala]: Project: Lightweight Deep Learning Approach for Robust Retinal Disease Classification (February to May 2024).