Analytics, Information Systems
Ahmed Abbasi is the Joe and Jane Giovanini Professor of IT, Analytics, and Operations. He serves as Director of the Analytics Ph.D. program and Co-Director of the Human-centered Analytics Lab. Ahmed completed his Ph.D. work in Information Systems at the University of Arizona’s Artificial Intelligence (AI) Lab. He attained an M.B.A. and B.S. in Information Technology from Virginia Tech. His research interests relate to text and predictive analytics. Ahmed has published nearly one hundred articles in journals and conferences, including several in top-tier outlets such as MIS Quarterly, Information Systems Research (ISR), Journal of MIS, ACM TOIS, IEEE TKDE, and IEEE Intelligent Systems. His work has been funded by over a dozen grants from the National Science Foundation and industry partners such as Microsoft, eBay, Deloitte, and Oracle. Ahmed serves as Senior Editor for ISR and Associate Editor for ACM TMIS and IEEE Intelligent Systems. He is a recipient of the IEEE Technical Achievement Award, INFORMS Design Science Award, and IBM Faculty Award. Ahmed’s work has been featured in various media outlets including the Wall Street Journal, Harvard Business Review, the Associated Press, WIRED, CBS, and Fox. Education: Ph.D., Eller College of Management, University of Arizona, Tucson MBA, Pamplin College of Business, Virginia Tech, Blacksburg BS, Pamplin College of Business, Virginia Tech, Blacksburg
Analytics, Customer Satisfaction, Data Management, Leadership, Process Improvement, Profit
Matt Muldoon is an expert in how voice technology and text-to-speech (TTS) technology enhances business operations, improves engagement, and adds accessibility to digital content. Muldoon is the President, North America of ReadSpeaker, a global voice specialist company providing dozens of languages and lifelike voices. His expertise in voice technology spans many industry verticals from education and manufacturing to gaming and healthcare, and the virtually endless opportunities to apply voice technology in ways that enhance dynamic human interaction.
Associate Professor of Marketing
University of Maryland, Robert H. Smith School of BusinessAnalytics, Behavioral Economics, Emerging Markets, Marketing Strategy, online marketing, Pricing, Technological Entrepreneurship
Bobby Zhou’s research focuses on competitive marketing strategies, in particular, pricing and promotion. He uses both analytical models as well as experimental approaches in his research. His work has been published in the Journal of Marketing Research, Marketing Science, and Management Science. He has presented papers at the INFORMS Marketing Science conference, INFORMS POMS conference, UT Dallas FORMS conference, Summer Institute in Competitive Strategy (SICS) at UC Berkeley, DC IO Day, among others. He teaches Marketing Research Methods in the undergraduate programs, Pricing at the MBA/MS programs, and Analytical Models in Marketing in the PhD programs. He also serves on the editorial board of Decision Science, International Journal of Research in Marketing, Journal of Interactive Marketing, Journal of Marketing Research, Journal of Retailing, and Marketing Science.