Ahmed Abbasi is the Joe and Jane Giovanini Endowed Chaired Professor in the Department of IT, Analytics, and Operations in the Mendoza College of Business at the University of Notre Dame. Prior to joining Notre Dame, he served as Associate Dean and Director of the Center for Business Analytics at the University of Virginia. Ahmed received his Ph.D. in Information Systems from the University of Arizona, where he worked as a research scientist and project lead in the Artificial Intelligence (AI) Lab. He attained an M.B.A. and B.S. in Information Technology from Virginia Tech.
Ahmed has over twenty years of experience pertaining to AI and predictive analytics, with applications in health, online fraud and security, text mining, and social media. Ahmed’s research has been funded by over a dozen grants from the National Science Foundation and industry partners such as AWS, Microsoft, and Oracle. He has also received the IEEE Technical Achievement Award, INFORMS Design Science Award, and IBM Faculty Award for his work at the intersection of AI and Big Data.
Ahmed has published nearly 100 articles in journals and conferences, including top-tier outlets such as MISQ, ISR, JMIS, ACM TOIS, IEEE TKDE, and IEEE Intelligent Systems. One of his articles was considered a top publication by the Association for Information Systems. He also won best paper awards at MISQ and WITS. 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.
Ahmed serves as Senior Editor for Information Systems Research (ISR) and Associate Editor (AE) for ACM TMIS and IEEE Intelligent Systems. He also previously served as AE at ISR and Decision Sciences Journal, and occasionally serves as special AE at MISQ. Ahmed is a senior member of the IEEE, and has been on program committees for various conferences related to AI, information systems, computational linguistics, text analytics, and data mining. He has also served as co-founder or advisory board member for multiple predictive analytics-related companies.