Faculty Directory
Somenath Kuiry
Academic Information
Ph.D, Jadavpur University, 2025
Research Areas
Research Interests
My primary research interests are Deep Learning based Classification, Segmentation of Medical images. I am also working domains like Explainable AI and Quantum Computing.
Courses Taught
Quantum Computing, Artificial Intelligence and Machine Learning, IT Workshop(MATLAB), Introduction to AI and DS using Python, Programming for Problem Solving using C.
Positions Held
1. Assistant Professor
2. Center-in-charge of IEM Center of Excellence for Data Science
3. Subject Co-ordinator for Programming for Problem Solving using C
4. Subject Co-ordinator for Introduction to AI and DS using Python
5. Departmental Time-Table co-ordinator
6. Departmental SPOC for Minor degree course in Cyber Security
7. Lab-in-charge of Project Lab, D2 building
2. Center-in-charge of IEM Center of Excellence for Data Science
3. Subject Co-ordinator for Programming for Problem Solving using C
4. Subject Co-ordinator for Introduction to AI and DS using Python
5. Departmental Time-Table co-ordinator
6. Departmental SPOC for Minor degree course in Cyber Security
7. Lab-in-charge of Project Lab, D2 building
Publications
1. Md Osman Gani, Somenath Kuiry, Alaka Das, Mita Nasipuri, and Nibaran Das. "Multispectral object detection with deep learning." In International Conference on Computational Intelligence in Communications and Business Analytics, pp. 105-117. Springer, Cham, 2021.
2. Shubhadeep Bhowmick, Somenath Kuiry, Alaka Das, Nibaran Das, and Mita Nasipuri. "Deep Learning-Based Outdoor Object Detection Using Visible and Near-Infrared Spectrum." Multimedia Tools and Applications 81, no. 7 (2022): 9385-9402.
3. Somenath Kuiry, Alaka Das, Kasturi Das, Mita Nasipuri and Nibaran Das. "GA-RISE: Posthoc Model Agnostic Explanations of Black-box Classifiers using Genetic Algorithm-based Optimized Masks - A Case Study on Chest X-ray Images" International Journal on Artificial Intelligence Tools 34.01 (2025): 2550006.
4. Dibyasree Guha, Somenath Kuiry, Shyamali Mitra, Nibaran DAs. "ResQ: A Hybrid Classical-Quantum Model for Efficient Breast Cancer Image Classification" Applied Soft Computing (2025): 113631.
5. Somenath Kuiry, Alaka Das, Mita Nasipuri and Nibaran Das. " Regularizing Deep CNN with label smoothing based on class confusions for histopathology images." International Conference on Computational Intelligence in Communications and Business Analytics, pp. 257-269. Cham: Springer Nature Switzerland, 2024.
6. Anay Panja, Somenath Kuiry, Alaka Das, Mita Nasipuri and Nibaran Das. " COVID-CT-H-UNet: a novel COVID-19 CT segmentation network based on attention mechanism and Bi-category Hybrid loss." International Conference on Computational Intelligence in Communications and Business Analytics, pp.100-112. Cham: Springer Nature Switzerland, 2024.
7. Dibyasree Guha, Shyamali Mitra, Somenath Kuiry, and Nibaran Das. "An ensemble framework approach of hybrid quantum convolutional neural networks for classification of breast cancer images." In International Conference on Data, Electronics and Computing, pp. 295-306. Singapore: Springer Nature Singapore, 2024.
8. Kushan Choudhury, Shubhrodeep Roy, Ankur Chanda, Shubhajit Biswas, and Somenath Kuiry. "Improving Predictive Confidence in Medical Imaging via Online Label Smoothing." In BIO Web of Conferences, vol. 204, p. 01019. EDP Sciences, 2025.
9. Ankur Chanda, Kushan Choudhury, Shubhrodeep Roy, Shubhajit Biswas, and Somenath Kuiry. "Evaluating Temperature Scaling Calibration Effectiveness for CNNs under Varying Noise Levels in Brain Tumour Detection." In BIO Web of Conferences, vol. 204, p. 01020. EDP Sciences, 2025.
10. Dibyasree Guha, Somenath Kuiry, and Nibaran Das. "YAM: A Novel Binarization approach for Non-Uniformly Illuminated Document Images." In ICRCICN 2025(Accepted and Presented).