I. Sanjay Chakraborty and N.K.Nagwani, “Study and Analysis of Incremental K-Means Clustering Algorithm”- International Conference on High Performance Architecture and Grid Computing (HPAGC-2011),Springer(Germany), Vol.169, 2011.
II. Ratul Dey, Sanjay Chakraborty and Lopamudra Dey, "Weather Forecasting using Convex hull & K-Means Techniques- An Approach", 5th International Conference on Electronics Engineering & Computer Science, Elsevier Science & Technology, pp. 288-295, 2014.
III. Ratul Dey and Sanjay Chakraborty, “Convex-Hull & DBSCAN Clustering to Predict Future Weather”, 6th IEEE International Conference and Workshop on Computing and Communication, IEEE Canada section, 2015.
IV. Kaustav Ghosh, Md. Misbahul Haque and Sanjay Chakraborty, “Design of Reversible Ternary Adder/Subtractor and Encoder Circuits”, 5th IEEE International Conference on Communication and Signal Processing - ICCSP' 16, IEEE,2016.
V. Sanjay Chakraborty, Sudhindu Bikash Mandal, Soharab Hossain Shaikh, “Ternary Quantum Circuit for Color Image Representation”, 3rdInternational Doctoral Symposium on Applied Computation and Security Systems (ACSS-2016),Springer, 2016.
VI. Manish Kumar Gupta, Sagar Shaw and Sanjay Chakraborty, “Cloud Based Malware Detection Technique”, 5th International Conference on Frontiers of Intelligent Computing: Theory and applications (FICTA), Springer, 2016.
VII. Debashis Das Chakladar and Sanjay Chakraborty, “Study and Analysis of a Fast Moving Cursor Control in a Multithreaded way in Brain Computer Interface”, First International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA-2017), Springer, CCIS Book chapter, 2017(IEEE Best Paper Award).
VIII. Sanjay Chakraborty, Debashis Das Chakladar et al., Multi-Target Based Cursor Movement in Brain Computer Interface using CLIQUE Clustering, International Ethical Hacking Conference, AISC, Springer, 2018.
IX. Bhawna Tibrewal, Gargi Sur Chowdhury and Sanjay Chakraborty, Rough Set Based Feature Subset Selection Technique using Jaccard's Similarity Index, International Ethical Hacking Conference, AISC, Springer, 2018.
X. Megha Dutta, Shayan Mondal, Sanjay Chakraborty and Arpan Chakraborty, A Human Intention Detector – An application of Sentiment Analysis, Emerging Technology in Modelling and Graphics (IEMGraph), Vol.937, Springer, AISC, 2019.
XI. Reshu Parsuramka, Saptarsi Goswami, Sourav Malakar and Sanjay Chakraborty, An Empirical Analysis of Classifiers Using Ensemble Techniques, Data Management, Analytics and Innovation (ICDMAI), Springer, 2020, pp. 283-298.
XII. Rohan Kumar, Rajat Kumar, Pinki Kumar, Vishal Kumar, Sanjay Chakraborty, Prediction of Protein-Protein interaction as Carcinogenic using Deep Learning Techniques, 2nd International Conference on Intelligent Computing, Information and Control Systems (ICICCS 2020), Proceedings of International Conference on Intelligent Computing, Information and Control Systems, Springer, pp. 461-475, 2021.
XIII. Tirthajyoti Nag, Jayasree Ghosh, Manona Mukherjee, Subhadip Basak, Sanjay Chakraborty, A Python based virtual AI Assistant, 3rd International Conference on Emerging Technologies in data mining and information security, IEMIS 2022, Springer LNNS, Vol. 490, pp 585–594.
XIV. Arnab Mondal, Ankush Mallick, Sayan Das, Arpan Mondal, Sanjay Chakraborty, A COVID-19 Infection Rate Detection Technique using Bayes Probability, 3rd International Conference on Emerging Technologies in data mining and information security, IEMIS 2022, Springer LNNS, Vol. 491, pp 369–375.
XV. Subhadip Ghosh, Soumen Maity, Sourav Chowdhury, Sanjay Chakraborty, Smart Car with Safety Features and Accident Detection Alert System, 3rd International Conference on Emerging Technologies in data mining and information security, IEMIS 2022, Springer LNNS, Vol. 490, pp 575–584.
XVI. Ankita Mishra, Piyali Paul, Koyel Mondal and Sanjay Chakraborty, A Study on Facemask Detection and Maintaining Safe Distance using AI and ML to Prevent COVID-19, International Conference on Robotics, Control and Computer Vision (ICRCCV), Springer LNEE, 1009, 2023.
XVII. Anurup Ghosh, Subhajit Bhattacharya, Souparno Roy, Shayak Ray, Ritika Upadhyay, Sanjay Chakraborty, (2024) Enhancing Educational Environments: Object Recognition and Relationship Inference through YOLO in Education 5.0, Health Informatics, Intelligent Systems and Networking Technologies (HINT '24), Springer LNCS (accepted and presented).
XVIII. Lodha, N., Pal, A., Das, S., Roy, S., Chakraborty, S., & Pandey, S. K. (2023, December). Deep Learning Empowered IoT Toothbrush: A Paradigm Shift in Dental Health Monitoring. In 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) (Vol. 1, pp. 1-6). IEEE.