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Apurba Nandi

Apurba Nandi

Assistant Professor (Grade II)

[email protected]
Vidwan Profile Google Scholar

Academic Information

B.Tech , CGEC 2021; M.Tech, JU, 2024, Ph.D Pursuing, IRPE, CU

Research Areas

AI ML DL BCI HPC XAI Agentic AI

Research Interests

A. Nandi’s research interests focus on Artificial Intelligence and Machine Learning, with emphasis on Deep Learning, Explainable AI, and Intelligent Systems. His work spans AI-driven healthcare analytics, including medical image analysis, disease prediction, and clinical decision support systems. He is also interested in Brain–Computer Interface, cognitive load assessment, and neuro-inspired computing. Additional research areas include Computer Vision, Natural Language Processing, Reinforcement Learning, and high-performance computing–enabled AI, with applications in smart healthcare, education, sustainability, and human-centered intelligent systems.

Courses Taught

IBM Data Science Professional Certificate, IBM Generative AI Engineering Professional Certificate,  IBM RAG and Agentic AI Professional Certificate, Google AI Essentials Specialization Certificate, Introduction to HPC

Positions Held

Assistant Professor (CSE–IoT, CS & BT) at Institute of Engineering & Management, Newtown (July 2024–Present); former ML & Data Science Research Intern at CoE on Data Science & ML, WEBEL (Feb–July 2024); Post-graduate Research Assistant at AI Laboratory, Jadavpur University (Aug 2023–June 2024); and Graduate Engineer Apprentice at Power Grid Corporation of India Ltd. (Nov 2021–Nov 2022).

Publications

Journal Articles Mondal, A., Nandi, A., Pramanik, S., & Mondal, L. K. (2025). Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema. Scientific Reports, 15(1), 4569. Paul, P., Banerjee, S., Nandi, A., Das, A. K., & Ghosh, A. (2025). A multilayer deep neural network framework for hemodynamic assessment of cognitive load management during problem-solving tasks. Cognitive Neurodynamics, 19(1), 1–21. Ghosh, S., Gupta, S., Bhattacharyya, S., Das, A. K., Nandi, A., Sarkar, A., et al. (2025). Multi-label imbalanced text handling using ensemble methodology with application to biomedical data classification. Iran Journal of Computer Science, 1–15. Conference Publications Nandi, A., Halder, R., Ghosh, S., & Konar, A. (2024). Cluster shape detection using dual attention-induced convolutional clustering algorithm. IEEE International Conference on Information Technology, Electronics and Communication. Ghosh, U., Dutta, S., Mondal, I., Nandi, A., & Das, A. K. (2025). Tracking the tides of toxicity: Temporal shifts in public emotion and discourse during the COVID-19 crisis. IEEE International Conference on Advances in Computing Research. Nandi, A., Das, A. K., Bose, T., & Srivastava, D. (2025). Deep learning for sustainable tourism: Enhancing visitor experience and promoting lesser-known heritage sites in Bishnupur. IEEE 6th India Council International Subsections Conference (INDISCON). Basu, D., Sur, H., Ghosh, D., Das, A., Nandi, A., & Ghosh, A. (2025). Enhancing student-alumni engagement through a graph-driven intelligent system. Recent Advances in Artificial Intelligence and Smart Applications. Nandi, A., Das, A. K., Sur, H., Dutta, S., Das, A., & Podder, S. (2025). AI-driven intelligent system for personalized job recommendations using real-time skill identification and industry trend analysis. International Conference on Computing, Intelligence, and Applications. Ghosh, S., Das, A. K., Nandi, A., & Ghosh, A. (2025). Decentralized and personalized federated learning framework for privacy preservation using IPFS model storage layer in healthcare. RAAISA International Conference Proceedings, 2025. Nandi, A., Paul, P., Das, A. K., Ghosh, A., Singh, A., & Gupta, A. (2025). Predictive modelling for chronic kidney disease: A hybrid approach using EDA, machine learning and explainable AI. 8th International Conference on Electronics, Materials Engineering and Nano-Technology. Kundu, N., Mandal, G., Bhandari, A., Bhaskar, U., & Nandi, A. (2025). Deep Q-network-driven intelligent systems: Advancing student-alumni networking and professional mentorship. International Conference on Next Generation Communication & Information Systems. Sur, H., Mandal, G., Das, K., Nandi, A., Das, A. K., & Ghosh, A. (2024). Enhanced convolutional neural network for sign character recognition with mixed pooling and Mish activation function. International Conference on Intelligent Systems and Advanced Computing.