Dr. Leman Akoglu

Associate Professor

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Biography

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.

Research Interests

Experience

Dean's Associate Professor

2019-02-01 — 2022-01-01

Heinz College, Carnegie Mellon University • Pittsburgh, PA

Dean's Associate Professor in Information Systems.

Assistant Professor

2016-01-01 — 2019-01-01

Heinz College, Carnegie Mellon University • Pittsburgh, PA

Assistant Professor in Information Systems.

Assistant Professor

2012-01-01 — 2016-01-01

Department of Computer Science, Stony Brook University • Stony Brook, NY

Assistant Professor in Computer Science.

Awards

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NSF CAREER Award

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Army Research Office Young Investigator Award

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Publication Awards

Patents

xStream: Outlier Detection

US123456789 2018-01-01

Method for detecting outliers in feature-evolving data streams.

https://example.com/patent

Courses

Machine Learning Problem Solving Machine Learning Technologies

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.