Publications

• Nirbhay K Tagore, Pratik Chattopadhyay, and Lipo Wang. “T-MAN: a neural ensemble approach for person re-identification using Spatio-temporal information.” Multimedia Tools and Applications 79, no. 37 (2020): 28393-28409. Springer 
• Nirbhay K Tagore, Ayushman Singh, Sumanth Manche, and Pratik Chattopadhyay. “Person re-identification from appearance cues and deep Siamese features.” Journal of Visual Communication and Image Representation 75 (2021): 103029, Elsevier 
• Nirbhay K Tagore and Pratik Chattopadhyay. "A bi-network architecture for occlusion handling in Person re-identification." Signal, Image and Video Processing (2022): 1-9. 
• Nirbhay K Tagore, Prathistith Raj Medi, and Pratik Chattopadhyay. "Deep pixel regeneration for occlusion reconstruction in person re-identification." Multimedia Tools and Applications 83, no. 2 (2024): 4443-4463.

• Nirbhay Kumar Tagore, and Arnab Mondal. “SCap Net: A Capsule Network Based Approach for Person Re-identification.” In Proceedings of the Global AI Congress 2019, pp. 133-144. Springer, Singapore, 2020.
• Nirbhay Kumar Tagore, Pratik Chattopadhyay, “SMSNet:  A novel multi-scale Siamese model for person re-identification.”  In: Proceedings of the 17th International Joint Conference on e-Business and Telecommunications Volume 1: SIGMAP pp. 103–112. INSTICC, SciTePress (2020). DOI 10.5220/0009885001030112 
• Shashank Kumar Singh, and Nirbhay Kr Tagore. “UNDERWATER BASED ADHOC NETWORKS: A brief survey to its challenges, feasibility and issues.” In 2019 2nd International Conference on Signal Processing and Communication (ICSPC), pp. 20-25. IEEE, 2019. 
• Nirbhay Kumar Tagore, and Shashank Kumar Singh. “Crowd counting in a highly congested scene using deep augmentation based convolutional network." In International Conference on Advances in Engineering Science Management & Technology (ICAESMT)-2019, Uttaranchal University, Dehradun, India. 2019. 
• Nirbhay Kumar Tagore, Ramakant Kumar, Naina Yadav, and Ankit Kumar Jaiswal. "Occlusion Reconstruction for Person Re-identification." In Proceedings of Data Analytics and Management: ICDAM 2022, pp. 161-172. Singapore: Springer Nature Singapore, 2023. 
• Ankit Kumar Jaiswal, Shiksha Singh, Santosh Kr Tripathy, Nirbhay Kr Tagore, and Arya Shahi. "Some Methods for Digital Image Forgery Detection and Localization." In Proceedings of Data Analytics and Management: ICDAM 2022, pp. 119-127. Singapore: Springer Nature Singapore, 2023. 
• Harpreet Kaur, Khusdeep Kaur, Ramakant Kumar, and Nirbhay Kr Tagore. "Leveraging Smart Sensors for Human Function Traceability." In 2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT), pp. 744-749. IEEE, 2023.
• Jhalke, R., Sharma, M., Tagore, N.K., Kumar, R. and Singh, M.P., 2024, December. Deep Learning-Driven Person Re-identification: Leveraging Color Space Transformations. In International Conference on Distributed Computing and Intelligent Technology (pp. 225-239). Cham: Springer Nature Switzerland.
• Singh, Mukund Pratap, Nikita Bisht, Mandeep Choudhary, Anurag Goswami, and Nirbhay Kumar Tagore. "A Web-Based Supervised Machine Learning Model for Air Quality Index and Respiratory Care Prediction." Procedia Computer Science 258 (2025): 1747-1756.

• Co-Convener Sports Council
• Member Secretary in the CCIS Committee
• Member Secretary in the CSE Department Purchase Committee
• Member of the SGC Committee