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Zaineb CHELLY DAGDIA is an Associate Professor at Versailles Saint-Quentin-en-Yvelines University (UVSQ), Faculty of Sciences, Paris-Saclay, and a member of the Ambient Data Access and Mining (ADAM) group at the DAVID laboratory. She earned her HDR (qualification for supervising research) from the University of Paris-Saclay, France. Her research interests span various aspects of Artificial Intelligence, including Machine Learning, Evolutionary Algorithms, Artificial Immune Systems, scalable machine learning, approximated reasoning, granular computation, and privacy preservation. She focuses on real-world applications, particularly in the medical field and cyber-security. She has supervised five Ph.D. students (one of whom has defended), a postdoctoral researcher, a software engineer, and several master’s students. Her career includes over 50 journal papers (SCI indexed), refereed and ranked conference proceedings papers, a book, and book chapters. Her research is funded by European Union’s research and innovation programs, national grants, multi-partner projects, and bilateral research collaboration programs. She regularly serves as a Program Committee member for international conferences in her research fields and as a reviewer for several refereed international journals. She has (co-)organized and (co-)chaired several national and international conferences and workshops. She has received numerous awards, including the Marie Skłodowska Curie Individual European Fellowship (MSCA-IF), the Young Researcher First Price (IEEE EHB’2013), the ACM-W Award, and the Best Reviewer Award (iCDEc 2018). She also acts as a Marie Sklodowska Curie Ambassador, selected as a Female Scientist Role Model, and selected to be among the Heidelberg-Laureate-Forum (HLF'2017) most qualified young researchers, and among the 30 MSC talented researchers to communicate her research at the Falling Walls Labs 2018 organized by the European Commission (EC). She was also involved in several EC dissemination activities.