Faculty Details

Photo of Leman  Akoglu

Leman Akoglu

Assistant Professor of Information Systems

Office: HBH 2118C
Email: lakoglu@cs.cmu.edu
Personal Website


Leman Akoglu joined the Heinz College faculty as an Assistant Professor in Fall 2016. She also holds a courtesy appointment in the Machine Learning Department (MLD) of School of Computer Science (SCS). Prior to this she was an Assistant Professor in the Department of Computer Science at Stony Brook University since receiving her Ph.D. from the Computer Science Department (CSD) of Carnegie Mellon University in 2012.

Dr. Akoglu’s research interests span a wide range of data mining and machine learning topics with a focus on algorithmic problems arising in graph mining, pattern discovery, social and information networks, and especially anomaly mining; outlier, fraud, and event detection. At Heinz, Dr. Akoglu directs the Data Analytics Techniques Algorithms (DATA) Lab.

Dr. Akoglu's research has won 5 publication awards; Best Paper Runner-up at SIAM SDM 2016, Best Paper at SIAM SDM 2015, Best Paper at ADC 2014, Best Paper at PAKDD 2010, and Best Knowledge Discovery Paper at ECML/PKDD 2009. She also holds 3 U.S. patents filed by IBM T. J. Watson Research Labs. Dr. Akoglu is a recipient of the National Science Foundation CAREER award (2015) and US Army Research Office Young Investigator award (2013). Her research is currently supported by the NSF, US ARL, DARPA, PNC and PwC.

Please see Dr. Akoglu’s webpage and DATA Lab group page for more on active projects, publications, and other up to date information.


Honors & Awards

  • Best Research Paper Runner-up Award in SIAM SDM 2016
  • Facebook Faculty Gift, May 2015
  • Best Research Paper Award in SIAM SDM 2015
  • NSF CAREER Award, 2015
  • Best Paper Award in ADC 2014
  • Army Research Office Young Investigator Program Award, 2013
  • IBM First Patent Application Invention Achievement Award, 2012
  • “Top IBM Intern” Fifth Annual IBM Research Chess Tournament, 2011
  • Best Paper Award in PAKDD 2010
  • Best Knowledge Discovery Paper Award in ECML/PKDD 2009

Selected Publications

  • Emaad A. Manzoor, Sadegh M. Milajerdi, Leman Akoglu. Fast Memory-Efficient Anomaly Detection in Streaming Heterogeneous Graphs. ACM SIGKDD 2016
  • Bryan Perozzi and Leman Akoglu. Scalable Anomaly Ranking of Attributed Neighborhoods. SIAM SDM 2016
  • Shebuti Rayana and Leman Akoglu. Collective Opinion Spam Detection: Bridging Review Networks and Metadata. ACM SIGKDD 2015
  • Shebuti Rayana and Leman Akoglu. Less is More: Building Selective Anomaly Ensembles—Application to Event Detection in Temporal Graphs. SIAM SDM 2015
  • Bryan Perozzi, Leman Akoglu, Patricia Iglesias Sanchez, Emmanuel Muller. Focused Clustering and Outlier Detection in Large Attributed Graphs ACM SIGKDD 2014
  • Leman Akoglu, Hanghang Tong, Danai Koutra. Graph-based Anomaly Detection and Description: A Survey. Data Mining and Knowledge Discovery (DAMI), 28 (4), 2014
  • Leman Akoglu, Mary McGlohon, Christos Faloutsos. OddBall: Spotting Anomalies in Weighted Graphs. PAKDD 2010
  • Leman Akoglu and Christos Faloutsos. RTG: A Recursive Realistic Graph Generator using Random Typing. ECML PKDD 2009

Research Interests

Data Mining and Knowledge Discovery, Graph Mining, Network Science, Machine Learning, Pattern Discovery, Anomaly Mining


PhD, Computer Science, Carnegie Mellon University (2012)
MS, Computer Science, Carnegie Mellon University (2010)
BS, Computer Science, Bilkent University (2007)