Équipe de recherche :Research Team:
Data, Intelligence and Graphs (DIG)Data, Intelligence and Graphs (DIG)
Laboratoire :Laboratory:
Laboratoire Traitement et Communication de l'Information (LTCI)Information Processing and Communication Laboratory (LTCI)
Département :Department:
Informatique et Réseaux (Infres)Computer Sciences and Networks (Infres)
Mehwish Alam is an Associate Professor and is leading a research group in Neurosymbolic Artificial Intelligence at Télécom Paris, Institut Polytechnique de Paris, France. Her research topics include Language Models, Natural Language Processing, Graph Learning, Machine/Deep Learning, and Knowledge Graphs. She is also part of the team leading the development of YAGO Knowledge Graph. She is currently leading academic and industrial collaborations on various aspects on the intersection of LLMs and Knowledge Graphs such as knowledge-based hallucination detection in NLP related tasks with an application towards biomedical domains, knowledge based explainability in LLMs with applications, and reasoning with LLMs. Her research work has been published in high-ranking conferences such as IJCAI, SIGIR, CIKM, ISWC, ECAI, and LREC. She has also published in prestigious journals such as Knowledge Based Systems, IEEE Computational Intelligence Magazine, Social Network Analysis and Mining, Scientometrics, Progress in Artificial Intelligence, and Semantic Web Journal. She has been a part of the Organization Committee of various conferences in the field of Semantic Web and is a Senior PC member in ECAI and LREC/COLING. She is PC Member in top-ranking conferences such as ACL, EMNLP, NAACL, TheWebConf, ICLR, IJCAI, ECAI, CIKM, etc.
Research activities
Current Projects
- Explainability in Neural Network Based Models for Biomedicine. Future, Rupture, and Impact 2026-2028
- Knowledge Graphs in the Era of Language Models (KGELL), Cost Action (European Union), 2025-2029.
- Global Network on Large-Scale, Cross-domain and Multilingual Open Knowledge Graphs (GOBLIN), Cost Action (European Union) 2024-2028.
- Knowledge Based Hallucination Detection & Mitigation. Funded by Hi! Paris DIMAI4IDF, France. 2024 – 2027.
- Neurosymbolic Artificial Intelligence for Biomedical Domain.
Industry Collaborations
- 1. Verifying Reasoning Chains in Large Language Models (BNP Paribas)
- 2. Knowledge Graphs for Grounding Large Language Models (Nokia Bell Labs)
Past Projects
- IT Tools for Managing Migration Flows (ITFLOWS), Horizon 2020. FIZ Karlsruhe, Karlsruhe Institute of Technology, Germany.
- Responsible News Recommender System (ReNewRS), Baden-Wüttermburg Stiftung. FIZ Karlsruhe, Karlsruhe Institute of Technology, Germany.
- Platform Material Digital, FIZ Karlsruhe, Karlsruhe Institute of Technology, Germany.
- Distributed Automotive-X Cognitive Services, Bosch Germany, FIZ Karlsruhe, Karlsruhe Institute of Technology, Germany.
- Holistic Attack Prevention System (HAPS), University of Bologna, Italy.
- Automated Summarization of Multigraph Datasets from Abstractive Machine Reading. ANR LabEx EFL, LIPN, France.
- BioIntelligence (Dassault Systèmes), INRIA, France.
Teaching activities :
2025-2026
- [Fall 2025] Language Modeling, Telecom Paris, Institut Polytechnique de Paris.
- [Fall 2025] Databases, Telecom Paris, Institut Polytechnique de Paris.
- [Winter 2025] Language Models and Structured Data (course materials available online), Telecom Paris, Institut Polytechnique de Paris.
- [Spring 2026] Large Scale Generative Models
- [Spring 2026] Multimodal Explainable AI