Dr. Niladri Sett

Introduction

Dr. Niladri Sett is an Associate Professor at the School of Technology Management and Engineering, NMIMS Hyderabad. His research focuses on trustworthy artificial intelligence and natural language processing, particularly the reliability and interpretability of machine learning and large language models.

Before joining NMIMS, he served as a faculty member at SRM University AP and completed his postdoctoral research at the Insight Centre for Data Analytics, University College Dublin, Ireland.

Research and Publications

Dr. Sett’s recent research examines the faithfulness of AI explanations, mechanistic interpretability, privacy–explainability interactions, and human-centred NLP for low-resource languages. His broader work includes machine learning for healthcare and complex network analysis.

Journal Publications

1. Supriya Manna and Niladri Sett, "Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry,” Transactions on Machine Learning Research, 2025.
2. I. Bhargavi Kalyani, A. Rama Prasad Mathi and Niladri Sett, "Evaluating Link Prediction: New Perspectives and Recommendations,” International Journal of Data Science and Analytics, Vol. 20, pp. 6855–6886, 2025.
3. Anindita Kundu and Niladri Sett, "Optimization of Microwave-Assisted Extraction of Antioxidant Compounds from Vitex negundo Leaves Using Response Surface Methodology,” Journal of Applied Research on Medicinal and Aromatic Plants, Vol. 48, Article 100659, 2025.
4. Alison Keogh, William Johnston, Mitchell Ashton, Niladri Sett et al., "It’s Not as Simple as Just Looking at One Chart: A Qualitative Study Exploring Clinicians’ Opinions on Various Visualisation Strategies to Represent Longitudinal Actigraphy Data,” Digital Biomarkers, Vol. 4, No. 1, pp. 87–99, 2020.
5. Alison Keogh, Niladri Sett, Seamas Donnelly et al., "A Thorough Examination of Morning Activity Patterns in Adults with Arthritis and Healthy Controls Using Actigraphy Data,” Digital Biomarkers, Vol. 4, No. 3, pp. 78–88, 2020.
6. Ciara Duignan, Patrick Slevin, Niladri Sett and Brian Caulfield, "Consumer Wearable Deployments in Actigraphy Research: Evaluation of an Observational Study,” JMIR mHealth and uHealth, Vol. 7, No. 6, Article e12190, 2019.
7. Niladri Sett, Saptarshi Basu, Sukumar Nandi and Sanasam Ranbir Singh, "Temporal Link Prediction in Multi-Relational Network,” World Wide Web, Vol. 21, No. 2, pp. 395–419, 2018.
8. Niladri Sett, Devesh, Sanasam Ranbir Singh and Sukumar Nandi, "Exploiting Reciprocity toward Link Prediction,” Knowledge and Information Systems, Vol. 55, No. 1, pp. 1–13, 2018.
9. Niladri Sett, Sanasam Ranbir Singh and Sukumar Nandi, "Influence of Edge Weight on Node Proximity-Based Link Prediction Methods: An Empirical Analysis,” Neurocomputing, Vol. 172, pp. 71–83, 2016.

Conference and Workshop Publications

1. Vallabhaneni Raj Kumar, Ashwin S., Supriya Manna, Niladri Sett et al., "Human-Centered Supervision for Sentiment Analysis in Telugu: A Systematic Inquiry Beyond Accuracy,” in Findings of the Association for Computational Linguistics: ACL 2026, San Diego, California, USA.
2. Supriya Manna and Niladri Sett, "Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations,” in Proceedings of the 7th BlackBoxNLP Workshop at EMNLP 2024, Miami, Florida, USA.
3. Amrita Bose Paul, Akhil G. V., Santosh Biswas, Sukumar Nandi and Niladri Sett, "SAS: Seasonality-Aware Social-Based Forwarder Selection in Delay-Tolerant Networks,” in Proceedings of I4CS 2020, Bhubaneswar, India.
4. Niladri Sett, Brian MacNamee, Francesc Calvo, Brian Caulfield et al., "Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data,” in Proceedings of SGAI 2019, Cambridge, United Kingdom.
5. Subhrendu Chattopadhyay, Niladri Sett, Sukumar Nandi and Sandip Chakraborty, "FLIPPER: Fault-Tolerant Distributed Network Management and Control,” in Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management 2017, Lisbon, Portugal.
6. Niladri Sett, Subhrendu Chattopadhyay, Sanasam Ranbir Singh and Sukumar Nandi, "A Time-Aware Method for Predicting Dull Nodes and Links in Evolving Networks for Data Cleaning,” in Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence 2016, Omaha, Nebraska, USA.
7. Akash Anil, Niladri Sett and Sanasam Ranbir Singh, "Modeling Evolution of a Social Network Using Temporal Graph Kernels,” in Proceedings of the ACM SIGIR Conference 2014, Gold Coast, Australia.
8. Deepak Mangal, Niladri Sett, Sanasam Ranbir Singh and Sukumar Nandi, "Link Prediction on Evolving Social Network Using Spectral Analysis,” in Proceedings of IEEE ANTS 2013, Chennai, India.

Book Chapter

1. Supriya Manna and Niladri Sett, "Need of AI in Modern Education: In the Eyes of Explainable AI,” in Blockchain and AI in Shaping the Modern Education System, CRC Press, Taylor & Francis Group, 2025.

Interest Areas

• Trustworthy Artificial Intelligence
• Natural Language Processing and Large Language Models
• Explainable and Interpretable Machine Learning
• Low-Resource Language Processing
• Machine Learning for Healthcare