Faculty
Dr. Nayan Kumar Sarkar
Assistant Professor
Alliance School of Advanced Computing
Dr. Nayan Kumar Sarkar is an academician and researcher with over a decade of experience in higher education, specializing in Computer Science, Artificial Intelligence, and Machine Learning. Throughout his academic career, he has demonstrated excellence in teaching, research, curriculum development, and mentoring undergraduate and postgraduate students.
Dr. Sarkar earned his Doctor of Philosophy (Ph.D.) in Computer Science and Engineering (AI & ML) from the North Eastern Regional Institute of Science and Technology (NERIST), Arunachal Pradesh, an institute under the Ministry of Education, Government of India. He also holds an M.Tech. in Information Technology from Tezpur University (Central) and has qualified the prestigious GATE and UGC-NET examinations. His research interests include Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Image Classification, Transfer Learning, Graph Neural Networks, and Explainable AI. His work focuses on developing intelligent learning models for image analysis and pattern recognition, with applications in agriculture, healthcare, and social network analysis. Dr. Sarkar has authored several research articles in leading SCI/SCIE and Scopus-indexed international journals. He has also co-authored a book titled Computer Fundamentals and has presented and published his research at several international conferences organized by IEEE and Springer.
At Alliance University, Dr. Sarkar is committed to fostering innovation-driven learning through active research, project-based education, and industry-oriented teaching practices. His goal is to equip students with strong analytical and problem-solving skills while contributing to impactful research.
Journal Publications (SCI/SCIE & Scopus Indexed)
- A. Saha, N. K. Sarkar and S. Pratihar, "PruferNET: An Augmented Graph Neural Network for Influential Node Detection in Social Networks," in IEEE Access, vol. 14, pp. 79940-79959, 2026, doi: 10.1109/ACCESS.2026.3695637. (SCI/SCIE Indexed)
- Sarkar, N. K., Singh, M. M., & Nandi, U. (2025). Image Classification with Deconvolution Operation and Augmentation. The Computer Journal, 68(2), 135–144. Oxford University Press. (SCI/SCIE Indexed)
- Sarkar, N. K., Singh, M. M., & Nandi, U. (2023). A Novel Deep Neural Network Model Using Network Deconvolution with Attention-Based Activation for Crop Disease Classification. Multimedia Tools and Applications, 83, 17025–17045. Springer. (SCI/SCIE Indexed)
- Sarkar, N. K., Singh, M. M., Nandi, U., & Mandal, J. K. (2024). Ensemble Transfer Learning for Image Classification. ECTI Transactions on Computer and Information Technology, 19(1), 25–36. (Scopus Indexed)
- Sarkar, N. K., Singh, M. M., & Nandi, U. (2022). Recent Researches on Image Classification Using Deep Learning Approach. International Journal of Computing and Digital Systems, 12(1), 1357–1374. (Scopus Indexed)
- Sarkar, A., Nandi, U., Sarkar, N. K., Changdar, C., & Paul, B. (2024). Deep Learning Based Hyperspectral Image Classification: A Review for Future Enhancement. International Journal of Computing and Digital Systems, 15(1), 419–435. (Scopus Indexed)
- Deka, B. K., Sarkar, N. K., et al. A Comparative Analysis of Predictive Machine Learning Models on Student Mental Health Impact on Academic Outcomes. International Journal of Advances in Signal and Image Sciences, 12, 924–932. (Q1 Scopus Indexed)
- Paul, P., & Sarkar, N. K. Graph Neural Networks for Explainable Compatibility prediction (in communication, IEEE Transactions).
Book
- Dutta, A., & Sarkar, N. K. Computer Fundamentals. Kaliabor College Publication, ISBN: 8194803136. (Co-author)
International Conference Proceedings
- Sarkar, N. K., Borah, S. K., Anjana, R., Nandi, U., & Singh, M. M. (2026). A Transfer Learning Technique to Identify Crop Leaf Diseases. 2026 International Conference on Computing, Sciences and Communications (ICCSC 2026), Ghaziabad, India. IEEE.
- Sarkar, N. K., Singh, M. M., & Hoang, T. D. (2025). Comparative Study of CapsNets and CNNs in Image Classification. International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2025), UNDIKNAS University, Bali, Indonesia.
- Singh, M. M., Kumar, P., & Sarkar, N. K. (2025). Image Classification Using Deep CNN. In Proceedings of the 2nd International Conference on Sustainability and Emerging Technologies for Smart Manufacturing (SETSM 2025), Hanoi, Vietnam. Springer, Proceedings in Technology Transfer. (Best Paper Award).
- Singh, M. M., Sarkar, N. K., & Nandi, U. (2023). Image Classification Using Few-Shot Learning. In Evolutionary Artificial Intelligence, Algorithms for Intelligent Systems, Springer, Singapore. (Best Paper Award).
- Sarkar, N. K., Singh, M. M., & Nandi, U. (2022). Learning Based Image Classification Techniques. In Computational Intelligence in Communications and Business Analytics (CICBA 2022), Communications in Computer and Information Science (CCIS), Vol. 1579, Springer, Cham.
- Singh, M. M., & Sarkar, N. K. (2024). Capsule Network Approach for Image Classification. In Proceedings of the 4th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (ICMISC 2023), Lecture Notes in Networks and Systems (LNNS), Vol. 873, Springer, Singapore.
