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 over ten 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 and AWS Research Grant for his work on Big Data.
Ahmed has published over 50 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, and Fox News.
Ahmed serves as an Associate Editor for Information Systems Research, Decision Sciences Journal, ACM TMIS, and IEEE Intelligent Systems, and is a senior member of the IEEE. He serves on program committees for various conferences related to computational linguistics, text analytics, and data mining. Ahmed is also a co-founder and/or advisory board member for multiple predictive analytics-related companies.
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