Advisory Board

Professor Bamshad Mobasher

Bamshad Mobasher, Ph.D. is Professor, School of Computing, DePaul University. He is also director of the Center for Web Intelligence at DePaul CTI.
His research areas include data mining, Web mining, intelligent agents, machine learning, and computational logic. He has published over 100 scientific articles and book chapters in these areas. He is one of the leading authorities in the areas of Web mining, Web personalization, and recommender systems, and has served as an organizer and on the program committees of numerous related conferences.
Bamshad authored Recommender Systems, and coauthored Toward Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithm Robustness, Web Search Personalization with Ontological User Profiles, Robustness of Collaborative Recommendation Based On Association Rule Mining, Defending Recommender Systems: Detection of Profile Injection Attacks, Ontological User Profiles for Representing Context in Web Search, Contextual Recommendation, Effectiveness of Crawling Attacks Against Web-based Recommender Systems, and Ontological User Profiles for Personalized Web Search.
He coedited Intelligent Techniques for Web Personalization: IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers, Advances in Web Mining and Web Usage Analysis: 6th International Workshop on Knowledge Discovery on the Web, WEBKDD 2004, Seattle, WA, USA, August 22–25. Papers (Lecture Notes in Computer Science), and Advances in Web Mining and Web Usage Analysis: 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 Philadelphia, USA, August 20. Papers (Lecture Notes in Computer Science). Read the full list of his publications!
Bamshad earned his Ph.D. in Computer Science at Iowa State University in 1994. He serves on the editorial boards of several prominent journals, including User Modeling and User-Adapted Interaction and the Journal of Web Semantics.
Watch his presentation Secure Recommendation: Making Social Recommenders Robust Against Malicious Attacks. Watch his interview on Politics in Perspective with Kevin McDermott.