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Biography  Background: “Two broad issues that have always interested me, both personally and professionally, are computer technologies and problem solving. I learned the fundamentals of computer programming while in high school, which lead me to understand further the benefits of computer technologies for addressing problems that are very difficult to solve using more traditional approaches (i.e., paper-and-pencil). I earned my undergraduate degree studying Mathematics and Computer Science. While in college, I was able to apply my skills in real-world projects working as a programmer and a systems designer for several companies. During my undergraduate studies I became very interested in research, and subsequently joined the graduate program at New York University to pursue a doctoral degree in Computer Science. While at NYU, I became interested in data mining, which typically refers to the technologies and tools that allow users to uncover patterns in huge collections of data. However, since some patterns discovered by data mining techniques may be spurious, trivial, or irrelevant, in my dissertation I addressed the problem of data mining result validation by providing the user with methods for separating ‘good’ patterns from the ‘bad’ ones.”Research Interests: “Fueled by the recent rapid growth of the Internet, continuously increasing accessibility to communication technologies, and the vast amount of information on the Web, information overabundance has become an increasingly important problem. My research develops computational techniques to help overcome limitations resulting from information overabundance in electronic business and electronic commerce. These techniques have significant practical implications since they facilitate individual consumers to receive accurately personalized content, products, and services; enable business analysts to effectively deal with large amounts of data analysis results; and can provide real-time information to online auction participants about important auction-related characteristics.” Current Research Projects: “Currently I am working on the following research projects: · Context-aware recommender systems – incorporating contextual/circumstantial information in the process of recommending products to customers in order to improve the accuracy of recommendations; · Real-time bidder support in combinatorial auctions – providing comprehensive information to the participants of complex types of auctions in real-time to make these auction mechanisms more accessible and transparent; · Expert-driven validation of data mining results – involving the domain experts in the data mining process and improving the quality of data mining results as a result; · Ecosystem models for technology evolution – modeling technology evolution to provide insights for technology development and forecasting.” General Impressions: “It has been a great experience to be a part of the Department of Information and Decision Sciences at the Carlson School of Management – this is an extremely research-active place; all of the academic programs (undergraduate, MBA, PhD) are very strong; and, in general, the environment is very supportive.” For contact information, please visit the IDSc Faculty Information Page. |