Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
Mehdi Ali
- 2024
- Speaker
- Circle
Mehdi Ali is Innovation Group Leader on Foundation Model Research at Fraunhofer IAIS and the Lamarr Institute. His group is strongly involved in national and international projects focused on training Large Language Models, such as OpenGPT-X, TrustLLM, and EuroLingua-GPT.
His research focuses on foundation models and knowledge graph representation learning. Mehdi’s work has been published in top-tier machine learning journals and conferences, including the Journal of Machine Learning Research (JMLR), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) and the International Semantic Web Conference (ISWC). In 2021, he and his co-authors received the Best Paper Award at ISWC for their paper, “Improving Inductive Link Prediction Using Hyper-Relational Facts.”
At the same time, his AI expertise also covers the implementation of AI solutions based on generative AI: Together with his team at Fraunhofer IAIS, he is working on identifying potential applications for business, administration, media and industry and developing generative AI solutions for companies.
