Ahmed Abbasi

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Ahmed received his Ph.D. in Information Systems from the University of Arizona, where he also worked as a project-lead on multi-million dollar “big data” initiatives in the Artificial Intelligence Lab. He attained an M.B.A. and B.S. in Information Technology from Virginia Tech. 

Ahmed has fifteen years of experience pertaining to predictive analytics, with applications in online fraud and security, text mining, and social media. Ahmed’s research has been funded through multiple grants from the National Science Foundation. He has also received the IBM Faculty Award, AWS Research Grant, and Microsoft Research Azure Award for his work on Big Data.

Ahmed has published over 70 peer-reviewed articles in journals and conferences, including top-tier outlets such as MISQ, JMIS, ACM TOIS, IEEE TKDE, IEEE Intelligent Systems, JCMC, and ICDM. 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, the Associated Press, WIRED, CBS, and Fox News. 

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, Decision Sciences Journal, special AE at MISQ. Ahmed is a senior member of the IEEE and has been a member of program committees for various conferences related to computational linguistics, text analytics, and data mining. He is also a co-founder and/or advisory board member for multiple predictive analytics-related companies.