Olfa Nasraoui

Professor, Endowed Chair for E-Commerce

Dr. Olfa Nasraoui is a Professor of Computer Engineering and Computer Science, Endowed Chair of E-commerce and the founding director of the Knowledge Discovery & Web Mining Lab at University of Louisville. She received her Ph.D in Computer Engineering and Computer Science from the University of Missouri-Columbia. She has conducted research in machine learning and data science, in particular mining high dimensional, heterogeneous data streams, web mining and recommender systems, and currently focuses on research in fairness and explainability in AI and machine learning algorithms such as Deep Learning. She has more than 200 publications in journals, book chapters and refereed conferences, as well as 12 edited volumes. She is a National Science Foundation CAREER award winner and twice winner of Best Paper Awards in the research area of data mining and machine learning. In the area of AI, Big data, data mining and machine learning, she has served as Primary Investigator for over 10 research grant projects and as Co-PI on 6 research grant projects, funded mainly by the National Science Foundation, NASA and KSEF as a PI, and by industry or the university as a Co-PI.  Dr. Nasraoui leads as PI the NSF funded ATHENA ADVANCE initiative for STEM faculty equity at University of Louisville. She has also been leading an NSF site for Research Experiences for Teachers in Big Data and Data Science since 2018. She served as leader of the Cyber-enabled Discovery Research and Scholarship group at the Speed School of Engineering at University of Louisville between 2015 and 2019. 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. Dr. Nasraoui has served on the organizing and program committees of several conferences and workshops, including organizing the premier series of workshops on Web Mining, WebKDD 2004-2008, as part of the ACM KDD conference. She has also served as Program Committee, Vice-Chair, Track Chair, or Senior Program Committee member for several of the most prestigious international AI and data mining conferences including KDD, RecSys, AAAI, IJCAI, ICDM, SDM, and CIKM. She serves on the Editorial board of the International Journal of Machine Learning and Computing as well as the journal of Applied Intelligence. She has also served as Associate Editor for the IEEE Access journal and guest editor for Data Mining and Knowledge Discovery. She is a member of IEEE, IEEE CIS, IEEE WIE, ACM, and ACM SIG-KDD. She currently serves on the leadership team of the Kentucky Girls STEM collaborative network and has previously served as faculty advisor of the University of Memphis chapter of the Society of Women Engineers.


  • B.S. in Computer Engr & Electrical Eng, University of Missouri-Columbia, 1990
  • M.S. in Computer Engineering, University of Missouri-Columbia, 1992
  • Ph.D. in Computer Sc and Computer Engr, University of Missouri-Columbia, 1999


A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation- 2006

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