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Leman Akoglu is a Dean's Associate Professor at the Heinz College of Information Systems and Public Policy at Carnegie Mellon University, with a courtesy appointment in the Computer Science Department. She joined the faculty as an Assistant Professor in Fall 2016 after receiving her Ph.D. in Computer Science from Carnegie Mellon in 2012. Her research interests encompass a broad array of topics in data mining and machine learning, focusing specifically on algorithmic challenges that arise in graph mining, pattern discovery, and social information networks, particularly anomaly mining, outlier detection, and event detection. As the director of the Data Analytics Techniques Algorithms (DATA) Lab at Heinz College, Dr. Akoglu's work has been recognized with multiple publication awards, including several distinctions at the SIAM symposiums and ECML PKDD. Furthermore, she holds numerous patents filed with IBM and has received prestigious grants and awards, including the National Science Foundation (NSF) CAREER Award in 2015 and the Army Research Office Young Investigator Award in 2013. Dr. Akoglu's research is supported by leading organizations including NSF, DARPA, and Facebook.
Heinz College, Carnegie Mellon University • Pittsburgh, PA
Dean's Associate Professor in Information Systems.
Heinz College, Carnegie Mellon University • Pittsburgh, PA
Assistant Professor in Information Systems.
Department of Computer Science, Stony Brook University • Stony Brook, NY
Assistant Professor in Computer Science.
Method for detecting outliers in feature-evolving data streams.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.