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-).

3. Vemuri Bharat Kumar: Development of Deep Learning Methods for Medical Imaging (January 2026-)

4. Ritika Chandrakar: Deep Learning-Based Assessment of Cerebral Metabolism Using QSM (August 2026-)

5. Adarsh T: Dynamic Difficulty-Aware Curriculum Learning for Imbalanced Medical Image Analysis (August 2026-) 

Junior Research Fellow (Ongoing)

1. Abhinav Rai :   

BS-MS Students Major Project (Ongoing)

1. Ananthika :  (Data Science). 

2. Ananya J.R. :  (Data Science).

3. Vaishnavi:  (Data Science).

BS-MS Students Major Project (Completed)

1. Aparna B.G. : An automated video-based behaviour analysis framework for clinical decision support (Data Science, 2025) [External]. 

2. Gowry Nandana : Uncertainty-aware deep learning framework for classification-guided medical image segmentation (Data Science, 2025).

3. Siraj T.M. : Deep reinforcement learning-based reconstruction for quantitative susceptibility mapping (Data Science, 2025).

4. ---

   Aaqilah A J : QSM reconstruction method with clinical applications (Data Science, 2024). 

5. Goutham Raj : Classification of Aerial Vehicles using a Lightweight Model (Data Science, 2024).  

6. Hisham Hassan O T : Breast Cancer Screening using Digital Mammography Images (Data Science, 2024). 

7. Ingole Prasmit Pralhad : Wildfire Risk Classification using High-Resolution Remote Sensing Imagery (Mathematics, 2024).

8. Jovita Biju : Neural Operator-Based Biomedical Modelling and Imaging (Data Science, 2024) [External].

9. Sourav Ramachandran: Medical Image Segmentation using Quantized Models (Data Science, 2024). 

Internships (Completed)

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

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