Bio:
Olfa Nasraoui is full Professor of Computer Science & Engineering, endowed Chair of e-commerce, and the founding director of the Knowledge Discovery & Web Mining Lab in the Speed School of Engineering at University of Louisville. She conducts research in machine learning, AI, and data science, in particular Deep learning, web and text mining, information retrieval and recommender systems; fairness and explainability in AI; and mining high dimensional, heterogeneous and evolving data streams. She is a National Science Foundation CAREER award winner, three times a winner of Best Paper Awards in the research area of machine learning and Fair AI, and a Fellow of the Executive Leadership for Academic Leadership in Technology, Engineering and Science (ELATES). She has more than 240 publications in journals, book chapters and strictly refereed conferences, as well as 12 edited volumes. She has served as Primary Investigator or Co-Investigator for over 20 research grant projects, funded from diverse sources, including the National Science Foundation and NASA. Olfa leads as PI the NSF funded ATHENA ADVANCE initiative for faculty equity at University of Louisville. The program combines evidence-based, data-driven, systems-based, institution-wide, collaborative and multi-pronged strategies to reverse equity barriers for the advancement of women faculty in STEM disciplines. She has also been leading an NSF site for Research Experiences for Teachers in Big Data and Data Science since 2018. She is an ACM Member and serves as Associate Editor for the Recommender Systems section of Frontiers in Big Data, as Distinguished Reviewer Board of ACM Transactions on Recommender Systems, and on the Editorial board of the International Journal of Machine Learning and Computing and Applied Intelligence. She has also served as Associate Editor for IEEE Access and guest editor for Data Mining and Knowledge Discovery. She has served on the organizing and program committees of several conferences and workshops, including co-organizing the premier series of workshops on Web Mining, ACM-WebKDD 2004-2008, as part of ACM-KDD. She has given tutorials including a tutorial on 10 Years of Mining the Web at ACM KDD 2006 in Paris. She has also served as Program Committee Vice-Chair, Track Chair, or Senior Program Committee member for several data mining conferences including ACM RecSys, ACM-KDD, AAAI, IJCAI, World Wide Web Conf., ICDM, SDM, and CIKM. She has served as Technical Mentor and Project Lead at the Data Science for Social Good fellowship at the University of Chicago in the 2015 summer cohort. Her recent publications can be found on https://scholar.google.com/citations?user=SGscZDgAAAAJ&hl=en and https://www.researchgate.net/profile/Olfa-Nasraoui/research.
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Explainability and Debiasing by Design in Recommender Systems
At its core, AI is enabled by advanced Machine Learning (ML) models that are now being used increasingly to enable decision making in many sectors, ranging from e-commerce to health,...
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