Subhrasankar Chatterjee

Education

Chatterjee pursued his bachelor’s from the esteemed Jalpaiguri Government Engineering College in West Bengal. Following his B.Tech, Chatterjee joined Indian Institute of Technology, Kharagpur in August, 2019 as a JRF for the Project – “Hands-free Touch-free Man-machine Interaction Device”. 

Chatterjee pursued a Ph.D. in the Computer Science and Engineering Department, IIT Kharagpur under Prof. Debasis Samanta in 2020, submitted his thesis “Neuro-Interpretability of Biological Visual Dynamics in Deep Computational Models” in 2024, and defended in 2025.

Research Interests

Chatterjee's expertise is in the field of Neuro-inspired AI, where he develops computational algorithms typically devised from biological properties of the biological brain. As a co-lateral exploration, he also has expertise in neural modelling and biological learning. 

Professional Affiliations & Memberships

• IEEE Member (Computer Society, EMBS) 

Awards

• Marie Curie Postdoctoral Fellowship – Seal of Excellence

Publications

Journals

• MSSTNet: a multi-stream time-distributed spatio-temporal deep learning model to detect, Mind wandering from electroencephalogram signals. S Pain, S Chatterjee, M Sarma, D Samanta. Computers and Electrical Engineering 122, 110005
• Lightweight spectral–spatial squeeze-and-excitation residual bag-of-features learning for hyperspectral classification. SK Roy, S Chatterjee, S Bhattacharyya, BB Chaudhuri, J Platoš. IEEE transactions on geoscience and remote sensing 58 (8), 5277-5290
• FuSENet: fused squeeze‐and‐excitation network for spectral‐spatial hyperspectral image classification. SK Roy, SR Dubey, S Chatterjee, B Baran Chaudhuri. IET Image Processing 14 (8), 1653-1661 

Professional Activities

Conference Activities

• Voxelwise Visual Modeling of Natural Scenes BOLD fMRI responses using weighted neighbor based regressor. S Chatterjee, S Verma, D Samanta, M Sarma. 2024 15th International Conference on Computing Communication and Networking (ICCCNT)
• Y-Net: Fusing fMRI and Natural Scenes to Generate Neuro-Interpretable Heat Maps. S Chatterjee, SV Verma, D Samanta, M Sarma. 35th British Machine Vision Conference (BMVC 2024).
• A Novel Graph Representation Learning Approach for Visual Modeling Using Neural Combinatorial Optimization. S Chatterjee, S Pain, D Samanta. International Conference on Pattern Recognition and Machine Intelligence (PReMI 2023).
• A Gradient-Based Approach to Interpreting Visual Encoding Models. S Chatterjee, D Samanta. International Conference on Computer Vision and Image Processing, 331-342 (CVIP 2023)
• Enhancing Graph-Based Representation Learning with Adversarial Policy Gradient: A Hyperparameter Analysis. S Chatterjee, D Samanta. International Conference on Frontiers in Computing and Systems, 307-320 (COMSYS 2023)
• Dreamcatcher: Revealing the language of the brain with fmri using gpt embedding. S Chatterjee, D Samanta. Submitted / arXiv
• Adversarial policy gradient for learning graph-based representation in human visual Processing. S Chatterjee, S Pain, D Samanta. 11th International Conference on Learning Representations (ICLR 2023)
• Automated classification and detection of malaria cell using computer vision. S Chatterjee, P Majumder. Proceedings of International Conference on Frontiers in Computing and Systems, 473-482 (COMSYS 2020)
• A novel approach to glaucoma screening using computer vision. N Chakrabarty, S Chatterjee. International Conference on Smart Systems and Inventive Technology (ICSSIT 2019)
• An offbeat technique for diabetic retinopathy detection using computer vision. N Chakrabarty, S Chatterjee. 10th International Conference on Computing, Communication and Networking Technologies. (ICCCNT 2019)
• A novel approach to age classification from hand dorsal images using computer vision. N Chakrabarty, S Chatterjee 3rd International Conference on Computing Methodologies and Communication (ICCMC 2019)