Invited Talks

  • Apple Machine Learning Speaker Series Talk, “Tell me Why? New Research in Building Recommender Systems that Can Explain their Predictions”, Apple Inc., 2018.
  • Invited Talk, “Tell me Why? New Research in Building Recommender Systems that Can Explain their Predictions”, Netflix, 2018.
  • Invited Talk, “Tell me Why? New Research in Building Recommender Systems that Can Explain their Predictions”, eBay, 2018.
  • Invited Talk, “Tell me Why? New Research in Building Recommender Systems that Can Explain their Predictions”, workday, 2018.
  • Invited Talk, “Tell me Why? New Research in Building Recommender Systems that Can Explain their Predictions”, University of Minnesota, Department of Computer Science and Engineering Colloquium, Nov. 2018.
  • Invited Talk, “Tell me Why? New Research in Building Recommender Systems that Can Explain their Predictions”, GroupLens social computing research group, University of Minnesota, Nov. 2018.
  • Volunteered Talk, “National science Foundation Research Experience for Teachers site in Big Data and Data Science at the University of Louisville”, with Stephanie Philipp and the RET site 2018 cohort, Civic Data meetup, Louisville, KY, July 2018.
  • Invited Graduate Lecture, “Big Data and Data Science for Human Health”, School of Nursing, University of Louisville, Louisville, KY, July 2018.
  • Invited Talk, “Journey to Wakanda: My Story as a Computer Scientist and Engineer and Big Data for the Greater Good”, Journey to Wakanda, Youth For Technology  Academy. Louisville Community Center, Louisville, KY, April 4, 2018.
  • Amazon Tech Talk, “Tell me Why? New Research in Building Recommender Systems that Can Explain their Predictions”, invited talk at Amazon Headquarters, Seattle,WA, Jan 2017.
  • Selected Talk, “Tell me Why? Tell me More! Explaining Predictions, Iterated Learning Bias, and Counter-Polarization in Big Data Discovery Models”, Commonwealth Computational Summit, Lexington, KY, Oct 16, 2017.
  • Invited Talk, “Explainable Recommendations”, Qatar Computing Research Institute, Doha, Qatar, July 19 2017.
  • Invited Talk, “Polarization and Iterated Bias in Recommender Systems”, Qatar Computing Research Institute, Doha, Qatar, July 23 2017.
  • Invited Keynote Speaker, “Polarization and Iterated Bias in Recommender Systems”, International Conference on Digital Economy, Sidi Bou Said, Tunisia, May 2017.
  • Tutorial, “Recommender Systems”, International Conference on Digital Economy, Carthage, Tunisia, April 2016.
  • Tutorial, Clustering tips and tricks: A tutorial presented at the Data Science for Social Good Fellowship, University of Chicago, 2015
  • Invited Keynote Speaker, “Addressing Two Big Data Challenges: Tracking and Validating Evolving Clusters in Data Streams and Mining Multi-source Heterogeneous Data”, at “From Data to Knowledge: Machine-Learning with Real-time and Streaming Applications”, Center for Time-Domain Informatics, University of California – Berkeley, May 2012.
  • Invited Keynote Speaker, “Clustering Heterogeneous Data Sets”, LA-WEB, Cartagena, Colombia, Oct. 2012.
  • Tutorial, “Advances in Web Data Mining”, ACM KDD (Knowledge Discovery in Data), Paris, France, June 2009.
  • Keynote Speaker, “Soft Computing for Web Mining and Personalization: A Few Recent Results and the Web 2.0 Challenge,” NAFIPS 2007, San Diego, CA, 2007.
  • Speaker, “Market-based Decentralized Profile Infrastructure: Giving back to the user”, in NSF workshop on Next Generation Data Mining & Cyber-Enabled Discovery, Baltimore, MD, Oct. 2007. http://www.cs.umbc.edu/~hillol/NGDM07/abstracts/slides/Nasraoui_ngdm07.pdf
  • Invited Talk, “Web Usage Mining & Personalization in Noisy, Dynamic, and Ambiguous Environments”, ECML-PKDD Workshop on Web Mining, 17th European Conference on Machine Learning and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 2006.
  • Invited Panelist and Speaker, “Internet and Search panel” in “UC Berkeley’s Frontiers: 2003 FLINT-CIBI International Joint Workshop on Soft Computing for Internet and Bioinformatics”, University of California – Berkeley, Dec. 2003.