Ph.D. Students
Ongoing
1. Anirban Dutta Choudhury: Multimodal Analysis of Medical Data Using Graphs and Deep Learning (pre-submission completed in May 2025)
2. Jagannath Sethi (Co-supervised by Dr. Jaydeb Bhaumik): Efficient Video Processing Schemes for Compression and Security (registration done in February 2020)
3. Susanta Kumar Sahu: Some Studies on Parkinsonian Disorders: A Deep Learning driven Medical Image Analysis Perspective (started November 2020)
4. Sevakram Kumbhare: Solving Problems in Computer Vision With Information From Multiple Datasets (registration done in February 2022)
Completed
1. Arijit De: Radiology and Histopathology Induced Computer Vision for Neurological Disorder Detection (2025) [Machine Learning Engineer at Singapore-based mVizn Pte. Ltd.]
2. Rukhmini Roy: Computer-aided Detection of Lung Cancer (2021) [Post-doc at University of Texas MD Anderson Cancer Center, USA]
3. Abhimanyu Sahu: Processing and Analysis of Egocentric Videos (2021) [Assistant Professor at MNNIT Allahabad, India]
4. Arindam Sikdar: On Some Problems in Computer Vision based Video Surveillance (2021) [Post-doc at Edge Hill University, UK]
5. Vijay Gangapure: A Study on Multispectral Image & Video Fusion with Some Applications (2017) [At Government Polytechnic, Kolhapur, India]
6. Gautam Bhattacharya (Co-supervised by Dr. Koushik Ghosh): A Study on Some Theoretical Variations of the kNN Algorithm (2016) [Assistant Professor at University Institute of Technology, Burdwan, India]
7. Sanjay Kuanar: Video Summarization for Multimedia Analysis (2015) [Associate Professor at Birla Global University, India]
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M.E. Students
Ongoing
-- Arnab Kumar Das: On Models of Relative Saliency (tentative)
Completed
Ganesh Agarwal (2024): Segmentation of Subcellular Structures using Graph Attention Network
Snehendu Majhi (2023): Segmentation of Subcellular Structures using Graph Convolution Network
Moinak Mondal (2022): A Deep Learning based Secure Video Compressive Sensing Scheme
Nasrin Gazi (2021): Video Deblurring using Radon Transform
5. Pranavesh Banerjee (2019): Intensity and Shape Driven Level Set for Medical Image Segmentation
6. Avishek Datta (2017): A Model of Relative Image Saliency Using Superpixels and Game Theory
7. Ranodip Das (2016): Saliency Guided Video Anomaly Detection
8. Prasenjit Mudi (2016): A Study on Impact of Curvature on Non-rigid Intensity Based Medical Image Registration
9. Rahul Sarkar (2016): Improved Palmprint Recognition from Fusion of 2D and 3D Data
10. Soman Chakraborty (2015): Video Saliency Modeling using Locally Adaptive Cues and Superpixels
11. Amit Kumar Sagar (2015): Multi-criteria based kNN Algorithm using Analytic Hierarchy Process
12. Susmit Nanda (2015): A Graph Theoretic Framework for Causal Video Segmentation using Superpixels
13. Sudipta Banerjee (2014): Steerable Local Frequency based Multi-spectral Focus Measure for Multi-focus Image Fusion
14. Kunal Bhusan Ranga (2014): A Graph Clustering Approach to Multi-view Video Summarization
15. Soumen Mitra (2014): Key-frame based Video Summarization using Delaunay Graphs in an Enhanced Feature Space
16. Rameswar Panda (2013): Graph Theoretic Solutions for Two Multimedia Problems
17. Dhiraj Kumar Jha (2013): Vesselness Filter - Matched Filter Synergism Via Orientation Histogram for Retinal Blood Vessel Detection
18. Angshuman Paul (2012): Tracking of Muscle Satellite Cells in Brightfield Microscopic Video
19. Moloy Naryan Das (2012): Video Summarization using Proximity Graphs
20. Sumona Biswas (2012): Multi-View Reconstruction from Stereo and Silhouette Inputs
21. Santanu Pal (2012): A Study on Stereo Correlation Methods
22. Somnath Das (2011): Tracking using Geometric Shape Induced Active Contours
23. Subhashree Das (2011): A Study on Image Thresholding using Type-I and Type-II Fuzzy Sets
24. Subrata Datta (2011): Robust Skeletonization using Hough Transform and Geometric Constraints
25. Anup Sar (2011): Codebook Design for Vector Quantization based Image Compression
26. Kamanashish Goswami (2010): A Study on Some Variations of the Fuzzy C-Means Clustering Algorithm
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B.E. Students
1. Shoureen Deb and Surjava Sanyal (2020): An Adaptive Non-Rigid Registration Algorithm for Zebrafish Larval Images using B-Splines-Demons Synergism
2. Dibyadip Chatterjee and Arpan Bhowmik (2020): Open-Set Metric Learning for Person Re-Identification in the Wild
3. Pallabh Bhura and Rajit Bhattacharya (2019): Action Recognition from Egocentric Videos using Random Walks
4. Souryadipta Das and Jasorsi Ghosh (2019): Geometric Surface based Segmentation of Point Cloud from Lidar Data
5. Sayan Ghoshal and Soumava Banerjee (2017): A Novel Non-rigid Registration Algorithm for Zebra Fish Larval Images
6. Aniket Bandyopadhyay and Judhajit Jana (2017): Vertebral Fracture Detection of DXA VFA Images
7. Mintu Paul and Swaraj Nehar (2016): A Study on Video Saliency using Nash Equilibrium
8. Arnab Deb and Rahul Pathak (2016): Interactive Lung Segmentation using Max-Flow Algorithm
9. Satrajit Mukherjee and Kunal Pal (2015): Microaneurysm Detection
10. Sudipto Mukherjee and Sarthak Chatterjee (2015): Blood Vessel Segmentation in Zebrafish Images
11. Satyajit Neogi and Pulak Gandhi (2014): Construction of Deformable Model of Human Pelvis using Ray-Tracing Algorithm
12. Debabrota Basu and Sayan Basu Roy (2014): Embedding Geometry in Non-Rigid Image Registration using Graph Cuts
13. Soumyadeep Sengupta and Udit Halder (2013): A Frequency Domain Approach to Human Gait Recognition from Silhouette Images
14. Avirup Mullick and Sagar Basak (2013): Multi-scale Approaches in Computer Vision
15. Arka Mukherjee and Bhaskar Sen (2012): Automated Detection of Pelvic Fractures
16. Rounak Roy and Sumon Bose (2012): Non-rigid Image Registration using Graph Cuts
17. Ashish Rudra and Mainak Sen (2011) : Cerebral White Matter Segmentation using Graph Cuts
18. Rohit Chatterjee and Mayukh Ghosh (2011): Monocyte Tracking using Bipartite Graphs
19. Angshuman Paul and Nilotpal Bhattacharya (2010): Digit Recognition using Euler Number and Central Moments
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Other Students
1. Tapabrata Chakraborti (2013): Retinal Blood Vessel Detection (from Electrical Engineering, JU)