Bio: Ladjel Bellatreche is a Full Professor at the National Engineering School for Mechanics and Aeronautics (ISAE-ENSMA), Poitiers, France, since September 2010. Before joining ISAE-ENSMA, he spent eight years as an Assistant and later an Associate Professor at the University of Poitiers, France. Since 2019, he has also been a Part-time Professor at the Harbin Institute of Technology (HIT), China.

Over the years, he has held several international positions, including Visiting Professor at the University of New South Wales (Sydney, Australia) and the Université du Québec en Outaouais (Canada). He was also a Visiting Researcher at Purdue University (USA) and the Hong Kong University of Science and Technology (HKUST).

His research focuses on Data Science, Artificial Intelligence, Knowledge Graphs, Recommender Systems, Query Answering Systems, and Large Language Models, with a particular emphasis on two key non-functional properties: query performance and energy consumption. His work aims to ensure efficiency, scalability, and sustainability in intelligent data management systems.

He has authored more than 360 publications in leading international journals and conferences, including IEEE Transactions on Knowledge and Data Engineering (TKDE), VLDB Journal, Information Systems, Future Generation Computer Systems, and Data & Knowledge Engineering. He also serves as Associate Editor for Data & Knowledge Engineering (Elsevier) and Knowledge and Information Systems (Springer).

Professor Bellatreche has played leading roles in major international conferences such as ER 2025 (General Co-Chair), IEEE Big Data, DASFAA, ADBIS, MEDES, FQAS, APWEB-WAIM, and DaWaK. He has also served on the steering committees of ER, ACM MEDES, ADBIS, DOLAP, BDA, and EDA, and is the Founder of the International Conference on Model and Data Engineering (MEDI).

Throughout his academic career, Professor Bellatreche has supervised 34 PhD students, many of whom have pursued successful careers in academia, research, and industry. His supervision philosophy emphasizes not only technical excellence but also the development of critical thinking, innovation, and adaptability—recognizing that research is ultimately about experience and staying attuned to what is happening in a rapidly evolving scientific landscape.