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Leman Akoglu is an Associate Professor at Carnegie Mellon University's Heinz College and holds a courtesy appointment in the Department of Computer Science. She received her Ph.D. from the Department of Computer Science at Stony Brook University in 2012. Her research interests cover a broad range of data mining and machine learning topics, particularly focusing on algorithmic problems related to graph mining, pattern discovery, and social information networks, with a special emphasis on anomaly mining, outlier detection, and fraud detection. Akoglu directs the Data Analytics Techniques Algorithms (DATA) Lab at Heinz College. Throughout her career, her research has garnered several awards, including recognition for her papers at prestigious conferences such as SIAM SDM and ECML PKDD. She has also been awarded multiple U.S. patents while working at IBM's T. J. Watson Research Labs. In addition, she is a recipient of the National Science Foundation CAREER award and the Army Research Office Young Investigator award. Her research is supported by various organizations including NSF, ARO, DARPA, Adobe, Facebook, Northrop Grumman, PNC Bank, and PwC.
Carnegie Mellon University • Pittsburgh, PA
Conducts research in data mining and machine learning, focusing on algorithmic problems, and teaches courses in information systems.
Filed while working at IBM T. J. Watson Research Labs.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.