Advanced Machine Learning Research Group

• Advanced Deep Learning
• Deep Reinforcement Learning
• Advanced Optimization Techniques for Machine Learning
• Automated Machine Learning (AutoML)
• Explainable Artificial Intelligence (XAI)
• Quantum Machine Learning
• Generative AI
• Agentic AI
• Diverse real-world applications in Healthcare, Medical Image Analysis, Agriculture, Drone/UAV Technology, Business Management

Ph.D Scholar

Himanshu Swarnkar (CSE)
[Deep Learning, Medical Image Analysis]

Pramod Kumar (CSE)
[Explainable Artificial Intelligence, Medical Data Mining, Medical Image Analysis]

B.Tech

Banala Aaditya (CSE)
[Explainable Artificial Intelligence, Medical Data Mining]

Akash Deep Kumar (CSE)
[Explainable Artificial Intelligence, Medical Data Mining]

Palak Sharma (CSE)
[Explainable Artificial Intelligence, Medical Data Mining]

Yashasvi Chhaliya (CSE)
[Explainable Artificial Intelligence, Medical Data Mining]

International Advisory Board Members

• Dr. Nanda Dulal Jana, Dept. of CSE, NIT Durgapur
• Dr. Asim Bikas Das, Dept. of Biotechnology, NIT Warangal
• Dr. Saurav Mallik, University of Arizona, USA
• Dr. P.C.B Miranda, Universidade Federal Rural de Pernambuco (UFRPE), Brazil

1.Development of Computer-Aided Diagnosis System for Kidney MRI Analysis using Explainable Artificial Intelligence, Project Grant No. UEMJ/2025/T/08-2025, 2nd September, 2025.

1. Akash Deep Kumar, Tapas Si, Utpal Nandi and Saurav Mallik, Explainable AI for Lymphography Prediction: A SHAP-Based Approach, 13th IEEE International Conference on Intelligent Embedded, MicroElectronics, Communication and Optical Networks (IEMECON 2025), Jaipur, India (IEEE) DOI: 10.1109/IEMECON69302.2025.11365698
2. Yashasvi Chhaliya, Palak Sharma, Tapas Si, and Ashutosh Singh, Explainable Machine Learning for Nomophobia Prediction: Insights through SHAP Analysis, 13th IEEE International Conference on Intelligent Embedded, MicroElectronics, Communication and Optical Networks (IEMECON 2025), Jaipur, India (IEEE) DOI: 10.1109/IEMECON69302.2025.11365659
3. Sougata Banerjee, Tapas Si, Divyansh Sachdev, Tejas Kharkar, Smart Indoor Air Quality Monitoring Device with Automated Threshold-Based Control, 13th IEEE International Conference on Intelligent Embedded, MicroElectronics, Communication and Optical Networks (IEMECON 2025), Jaipur, India (IEEE) DOI: 10.1109/IEMECON69302.2025.11365921
4. Rishita Das and  Tapas Si, Daily Mutual Fund Return  Prediction using Optimized Stacked LSTM, IEEE ELEXCOM 2025, December 20-22, 2025, in IIT (ISM) Dhanbad, Jharkhand, India (IEEE) DOI: 10.1109/ELEXCOM67950.2025.11451548
5. Saptarshi Ghosh, Sukdeb Mondal, Joydip Ghosh, Sarbajit Manna and  Tapas Si, Caesarean Section Prediction Using Machine Learning with DALEX Explainability, IEEE ELEXCOM 2025, December 20-22, 2025, in IIT (ISM) Dhanbad, Jharkhand, India (IEEE) DOI: 10.1109/ELEXCOM67950.2025.11451514
6. Tapas Si, Aman Sharma, Aman Kumar, and Sayak Pramanik, Maternal Health Risk Detection using Stacking Classifier, IEEE ELEXCOM 2025, December 20-22, 2025, in IIT (ISM) Dhanbad, Jharkhand, India  (IEEE) DOI: 10.1109/ELEXCOM67950.2025.11451262
7. Ashutosh Singh and Tapas Si, Detection of Digital Device Dependency in Adolescents using Decision Tree, IEEE ELEXCOM 2025, December 20-22, 2025, in IIT (ISM) Dhanbad, Jharkhand, India (IEEE) DOI: 10.1109/ELEXCOM67950.2025.11451297
8. Soumya Chatterjee, Shubhadeep Sarkar, Debrup Chatterjee, Sarbajit Manna and  Tapas Si, Cryotherapy Outcome Prediction with Explainable Machine Learning: A LIME-Based Approach, 23rd  OITS International Conference on Information Technology (OCIT), KIIT University, Bhubaneswar, 18-20 December, 2025. (IEEE) DOI: 10.1109/OCIT66168.2025.11400212
9. Himanshu Swarnkar  and  Tapas Si, IEEE Breast Histopathology Image Classification using ResNet152 for Cancer Detection, 2nd International Conference on Artificial Intelligence and Emerging Technologies 2.0 (AISUMMIT 2025): Global AI Summit 2025, Bennett University, November 19th to 21th, 2025  (IEEE) DOI: 10.1109/AISummit66170.2025.11410812
10. Sukdeb Monda, Saptarshi Ghosh, Joydip Ghosh, Sarbajit Manna and Tapas Si, Caesarean Section Prediction Using Machine Learning with  LIME  Explainability, IEEE International Conference on Information Systems and Computer Networks (ISCON 2025), September 5-6, 2025, GLA University, Mathura,   India (IEEE) DOI: 10.1109/ISCON65210.2025.11341214
11. Pramod Kumar and Tapas Si, Chronic Kidney Disease Classification Using  Machine Learning with SHAP Explainability, IEEE International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET 2025),  Acropolis Institute of Technology and Research, Sep 27 to 28, 2025 Indore, India (IEEE) DOI: 10.1109/ACROSET66531.2025.11281366
12. Tapas Si, Joydip Ghosh, Saptarshi Ghosh, Sukdeb Mondal,  Sarbajit Manna, Caesarean Section Classification Using Machine Learning with  SHAP  Explainability, IEEE International Conference on Computing, Intelligence and Application (CIACON 2025), July 18-19, 2025, Dr. B.C. Roy Engineering College, Durgapur, India (IEEE) DOI: 10.1109/CIACON65473.2025.11189592
13. Pramod Kumar and Tapas Si, Chronic Kidney Disease Classification Using Machine Learning with LIME Explainability, IEEE International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET 2025),  Acropolis Institute of Technology and Research, Sep 27 to 28, 2025 Indore, India (IEEE) DOI: 10.1109/ACROSET66531.2025.11281055
14. Himanshu Swarnkar  and  Tapas Si, Women Breast Histopathology Image Classification for Cancer Detection using ResNet101, IEEE International Conference on Information Systems and Computer Networks (ISCON 2025), September 5-6, 2025, GLA University, Mathura,   India (IEEE) DOI: 10.1109/ISCON65210.2025.11341313
15. Tapas Si, Roshan Kumar and Saurav Mallik, Liver Disease Classification Using Explainable Artificial Intelligence, IEEE International Conference on Electronics, AI and Computing, 5-7 June, 2025, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India (IEEE) DOI: 10.1109/EAIC66483.2025.11101518
16. Tapas Si, Aman Sharma, Ashutosh Singh, and Imran Khan, Trapped in the Mobile Screen: A Machine Learning Approach to Predict Nomophobia, IEEE International Conference on Electronics, AI and Computing, 5-7 June, 2025, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India (IEEE) DOI: 10.1109/EAIC66483.2025.11101516

[email protected], [email protected]