Dr. Shivam Gupta
Assistant Professor
Office: 405A,CSE Dept., ED1 Building,
IIT Bhilai, Kutelabhata Village, Bhilai
Research Areas
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Machine Learning
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Game Theory
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Responsible AI
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Fairness in ML
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Federated Learning
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Algorithmic Foundations
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Machine Unlearning
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◆ Academic Background
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Post-Doctorate, CSA, IISc Bangalore
Apr. 2025 – May 2026
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Ph.D. in Computer Science & Engineering, IIT Ropar
Sep. 2020 – Apr. 2025 · Prime Minister Research Fellow (MHRD)
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B.Tech. in Information Technology, IIIT Sonepat (Mentor & Campus NIT Kurukshetra)
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■ Professional Experience
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Assistant Professor, Department of CSE, IIT Bhilai
Jun. 2026 – Present
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Postdoctoral Researcher, CSA, IISc Bangalore
Apr. 2025 – May 2026
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Prime Minister Research Fellow (MHRD), IIT Ropar
May 2021 – Apr. 2025
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Guest Faculty, GNDEC Ludhiana
Jan. 2021 – Apr. 2025
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▣ Courses Taught
IIT Bhilai
Introduction to Programming (CSL100/MAL400) (UG)
Programming Lab for Data Science and Artificial Intelligence (DSP505) (PG)
Past Experience
Fair and Responsible Artificial Intelligence
Optimization in Machine Learning
Machine Learning
Next Generation IT Essentials
Object Oriented Programming
Python and Machine Learning
Data Driven Intelligence: Tools and Applications
★ Awards & Recognition
• Best Paper Award for paper on Fair Clustering at International Conference on Deployable AI 2022.
• Best Paper Award (Runners-Up) on online clustering at International CODS-COMAD 2024 conference.
• Selected among 45 international researchers (Academia/Industry) for ACM PINGALA 2024.
• Awarded with SERB International Travel Grant 2023, IndoML Travel Grants 2022 and 2023, and ACML Travel Scholarship.
◇ Collaborations
IISc Bangalore
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IIT Ropar
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IIT Bombay
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IIT Hyderabad
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IIT Palakkad
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PAU Ludhiana
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IIIT Hyderabad
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▤ Publications
Journal Articles
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[J1]
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Efficient algorithms for fair clustering with a new notion of fairness. Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, and Shweta Jain. Data Mining and Knowledge Discovery, 2023 · 37:1959–1997nbsp;(Best Paper Award at Conference on Deployable AI) (DOI)
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[J2]
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World War III analysis using signed social networks. Ranjana Roy Chowdhury, Shivam Gupta, and Sravanthi Chede. (Equal Contribution) Social Network Analysis and Mining, 2021 (DOI)
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[J3]
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EqBal-RS: Improved matrix factorization for mitigating popularity bias in recommender systems. Shivam Gupta, Kirandeep Kaur, and Shweta Jain. Journal of Intelligent Information Systems, 2023 (DOI)
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[J4]
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BrainMNet: A unified neural network architecture for brain image classification. Sudip Ghosh, Deepti, and Shivam Gupta. Network Modeling Analysis in Health Informatics and Bioinformatics, 2024 (DOI)
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[J5]
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Epilconnet: A novel multi-class epileptic seizure classification model. Sudip Ghosh, Deepti, and Shivam Gupta. Inteligencia Artificial, 2024 (DOI)
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[J6]
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Automated human mind reading using EEG signals for seizure detection. Virender Ranga, Shivam Gupta, Jyoti Meena, and Priyansh Agrawal. Journal of Medical Engineering & Technology, 2020 (DOI)
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[J7]
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Privacy and security improvement in UAV network using blockchain. Hardik Sachdeva, Shivam Gupta, Anushka Mishra, Khushboo Chauhan, and Mayank Dave. International Journal of Communication Networks and Distributed Systems, 2023 (DOI)
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[J8]
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Pathological analysis of blood cells using deep learning techniques. Virender Ranga, Shivam Gupta, Priyansh Agrawal, and Jyoti Meena. Recent Advances in Computer Science and Communications, 2020 (DOI)
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[J9]
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EpilNet: A novel approach to IoT-based epileptic seizure prediction and diagnosis using artificial intelligence. Shivam Gupta, Virender Ranga, and Priyansh Agrawal. Advances in Distributed Computing and Artificial Intelligence, 2021 (DOI)
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[J10]
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Neural network-based epileptic EEG detection and classification. Shivam Gupta, Jyoti Meena, and O. P. Gupta. Advances in Distributed Computing and Artificial Intelligence, 2020 (DOI)
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[J11]
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Fair federated data clustering through personalization: Bridging the gap between diverse data distributions. Shivam Gupta, Tsering Wangzes, Tarushi, and Shweta Jain. arXiv:2407.04302, 2024 (arXiv)
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Conference Papers
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[C1]
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A welfarist approach to diverse similarity search. Siddharth Barman, Nirjhar Das, Shivam Gupta, and Kiran Shiragur. (Sorted by Last Name). ICLR 2026 · CORE A* (Scholar)
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[C2]
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Flight: A unified framework for symmetric and asymmetric welfares for facility location. Avyukta Manjunatha Vummintala, Shivam Gupta, Shweta Jain, and Sujit Gujjar. AAMAS 2025 · pp. 2125–2133 · CORE A* (PDF)
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[C3]
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Group fair clustering revisited—notions and efficient algorithm. Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, and Shweta Jain. AAMAS 2023 · CORE A* (PDF)
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[C4]
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Capacitated online clustering algorithm. Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, and Nandyala Hemachandra. ECAI 2024 · CORE A (DOI)
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[C5]
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MFC: A multishot approach to federated data clustering. Jaglike Makkar, Bhumika, Shweta Jain, and Shivam Gupta. ECAI 2023 · CORE A (DOI)
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[C6]
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Online algorithm for clustering with capacity constraints. Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, and Nandyala Hemachandra. CODS-COMAD 2024 · (Best Paper Runners-Up Award) (DOI)
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[C7]
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MSBNet: Handwritten Bangla character recognition using lightweight multi-scale CNN architecture. Rejoy Chakraborty, Chayan Halder, Kaushik Roy, Shivam Gupta, and Shashi Shekhar Jha. CODS-COMAD 2024 (DOI)
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[C8]
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Algorithmic recourse based on user's feature-order preference. Manan Singh, Kancheti Sai Srinivas, Shivam Gupta, Ganesh Ghalme, Shweta Jain, and Narayanan C. Krishnan. CODS-COMAD 2023 (DOI)
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Book and Book Chapter
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[BC1]
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Group and individual fairness in clustering algorithms. Shivam Gupta, Shweta Jain, Ganesh Ghalme, Narayanan C. Krishnan, and Nandyala Hemachandra. In Ethics in Artificial Intelligence: Bias, Fairness and Beyond, Springer, 2023 (DOI)
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[B1]
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Artificial Intelligence in Crop Water Management: A Path to Conservation and Productivity. R. K. Naresh, R. K. Gupta, Rajbir Garg, R. K. Sohane, J. P. Singh, O. P. Gupta, Arun Kumar, Shivam Gupta, and Vineet Kumar. Elite Publishers, 2025 (Publisher)
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Workshop Papers
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[W1]
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Group fair clustering revisited—notions and efficient algorithm. Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, and Shweta Jain. GAIW, AAMAS 2023
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Last updated: July 2026.
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