Mehwish Alam

Abstract:

Title and abstract of the presentation to come.

Bio:

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. More specifically her research group focuses on the topics such as knowledge based hallucination detection in language models, learning representation from hyper and dynamic graphs, cognitive aspects of language models, explainability, and the application domains such as biomedicine and cultural heritages. 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 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. 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.