Faculty
Mr. Subrata Pain
Assistant Professor
Alliance School of Advanced Computing
Dr. Subrata Pain is a dedicated researcher in the field of biomedical signal processing, with a particular focus on the application of machine learning and deep learning techniques. He has been associated as a Ph.D. research scholar at the Department of Advanced Technology Development Center, Indian Institute of Technology (IIT) Kharagpur, since July 2019. He submitted his doctoral thesis on November 28, 2024.
Dr. Pain’s research centers on the analysis of human brain connectivity networks using Electroencephalogram (EEG) data. His work integrates advanced methodologies from Graph Signal Processing, Deep Learning, and Machine Learning to examine the human brain connectome, contributing to cutting-edge developments in neuroinformatics and cognitive neuroscience.
Throughout his doctoral journey, Dr. Pain has also contributed to academic instruction, serving as a teaching assistant for various undergraduate and postgraduate courses including Data Analytics, Programming and Data Structures, Machine Learning, Deep Learning, Probability & Statistical Learning, and Soft Computing. He has fulfilled all coursework requirements as part of his Ph.D. program.
His academic profile reflects a strong blend of theoretical knowledge, practical research, and teaching experience in some of the most dynamic and impactful areas of computer science and biomedical engineering.
Journal
- 2024 - Subrata Pain, Monalisa Sarma, and Debasis Samanta, Graph Signal Processing and Graph Learning Approaches to Schizophrenia Pattern Identification in Brain Electroencephalogram, Biomedical Signal Processing and Control, Elsevier, Volume 100, February2025, 106954, doi: 10.1016/j.bspc.2024.106954.
- 2024 - Subrata Pain, Subhrasankar Chatterjee,Monalisa Sarma, and Debasis Samanta, MSSTNet: A Multi-stream Time-distributed Spatio-temporal Deep Learning Model to Detect Mind Wandering from Electroencephalogram Signals, Computers and Electrical Engineering, Elsevier, Volume 122, March 2025, 110005, doi: 10.1016/j.compeleceng.2024. 110005.
- 2023 - Subrata Pain, Sourav Roy, Monalisa Sarma, and Debasis Samanta, Detection of alcoholism by combining EEG local activations with brain connectivity features and Graph Neural Network, Biomedical Signal Processing and Control, Elsevier, Volume 85, August 2023, 104851, doi: 10.1016/j.bspc.2023.104851
Conference Proceedings
- 2024 - Subrata Pain,Monalisa Sarma, and Debasis Samanta, Parametric Sparse Coding of Brain Connectivity Graph Signals for Schizophrenic EEG data, The 15th International Conference On Computing, Communication And Networking Technologies (ICCCNT-2024), IIT Mandi, PP 1-7, doi: 10.1109/ICCCNT61001.2024.10725230
- 2023 - Subrata Pain, Nancy Vimal, Debasis Samanta, and Monalisa Sarma, A Novel Brain Connectivity-Powered Graph Signal Processing Approach for Automated Detection of Schizophrenia from Electroencephalogram Signals, In International Conference on Pattern Recognition and Machine Intelligence (PReMI-2023), ISI Kolkata, pp. 772-779. Cham: Springer Nature, 2023, 3rd best paper
- 2023 -Subrata Pain, Debasis Samanta, andMonalisa Sarma, An Efficient Motor Imagery Classification Framework using Sparse Brain Connectivity and Class-consistent Dictionary Learning from Electroencephalogram Signals, In Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP-2023), IIT Ropar, pp. 1-9. 2023. doi: 10.1145/3627631.3627641
- 2023- Subrata Pain, Aritra Shome, Tutan Nama, Debasis Samanta, and Monalisa Sarma, A Novel Framework for Cognitive Load Estimation from Electroencephalogram Signals Utilizing Sparse Representation of Brain Connectivity, In International Conference on Computer Vision and Image Processing (CVIP-2023), IIT Jammu, pages 500–511. Springer, 2023.
- 2023- Subhrasankar Chatterjee, Subrata Pain, Debasis Samanta, Adversarial Policy Gradient for Learning Graph-Based Representation in Human Visual Processing, Tiny Papers @ ICLR 2023, url: https://openreview.net/forum?id=5-ROmmBJKV
- 2023- Subhrasankar Chatterjee, Subrata Pain, Debasis Samanta, A Novel Graph Representation Learning Approach for Visual Modeling Using Neural Combinatorial Optimization, In International Conference on Pattern Recognition and Machine Intelligence (PReMI-2023), ISI Kolkata, pp. 772-779. Cham: Springer Nature, 2023.
