| 2026 | WWW | DHOW-MiLLA: Joint Workshop on Diffusion of Harmful Content on Online Web and Countering Misinformation in the Age of LLMs and Agents. | Gautam Kishore Shahi, Thomas Mandl, Haiming Liu, Amit Kumar Jaiswal, Durgesh Nandini, Luis-Daniel Ibez, Junichi Suga, Dai Yamamoto, Rahul Mishra, Rajakrishnan P. Rajkumar, Sagar Uprety, Bornali Phukon, Sujit Kumar |
| 2025 | ICWE | Towards Structured Knowledge: Advancing Triple Extraction from Regional Trade Agreements Using Large Language Models. | Durgesh Nandini, Rebekka Koch, Mirco Schnfeld |
| 2024 | IC3K | How to Surprisingly Consider Recommendations? A Knowledge-Graph-Based Approach Relying on Complex Network Metrics. | Oliver Baumann, Durgesh Nandini, Anderson Rossanez, Mirco Schnfeld, Jlio Cesar dos Reis |
| 2024 | IC3K | Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis. | Durgesh Nandini, Simon Bloethner, Mirco Schnfeld, Mario Larch |
| 2022 | KI | Explaining Hate Speech Classification with Model-Agnostic Methods. | Durgesh Nandini, Ute Schmid |
| 2020 | ICWSM | FakeCovid- A Multilingual Cross-domain Fact Check News Dataset for COVID-19. | Gautam Kishore Shahi, Durgesh Nandini |
| 2018 | ICONIP | Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks. | Durgesh Nandini, Elisa Capecci, Lucien Koefoed, Ibai Laa, Gautam Kishore Shahi, Nikola K. Kasabov |
| 2018 | ICONIP | Analysis, Classification and Marker Discovery of Gene Expression Data with Evolving Spiking Neural Networks. | Gautam Kishore Shahi, Imanol Bilbao, Elisa Capecci, Durgesh Nandini, Maria Choukri, Nikola K. Kasabov |
| 2015 | DC | MOD: Metadata for Ontology Description and Publication. | Biswanath Dutta, Durgesh Nandini, Gautam Kishore Shahi |