Stony Brook University, Computer Science
June, 2014 1 paper Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships at HICSS'15.
Sep, 2014 Slides and Software for our KDD paper is now online.
Sep, 2014 New course Data Mining meets Graph Mining this Fall.
July, 2014 Talk at NICTA Sydney, AU
July, 2014 Best paper award at ADC'14.
June, 2014 1 paper Fast Nearest Neighbor Search on Large Time-Evolving Graphs at ECML/PKDD'14.
June, 2014 2 papers Watch Your Tags: Analysis of Question Response Time in StackOverflow and Joint Voting Prediction for Questions and Answers in CQA at IEEE/ACM ASONAM'14.
May, 2014 1 paper Focused Clustering and Outlier Detection in Large Attributed Graphs at ACM SIGKDD'14.
April, 2014 DAMI Survey on Graph-based Anomaly Detection
April, 2014 ODD^2 @ KDD2014: Workshop on Outlier Detection and Description under Data Diversity
Mar 20, 2014 Attend Facebook Machine Learning Open House, Menlo Park, CA
Mar 19, 2014 Talk at Twitter Inc., San Francisco, CA
Mar 17, 2014 Talk at University of California, Santa Barbara
Mar, 2014 1 (full) paper Quantifying Political Polarity based on Bipartite Opinion Networks is accepted to ICWSM'14.
Mar, 2014 1 (full) paper ConnotationWordNet: Learning Connotation of the
Word+Sense Network at ACL'14 for presentation.
Feb, 2014 SDM Early Career Travel Grant, thanks SIAM!
Jan, 2014 1 paper User Churn in Focused Q&A Sites: Characterizations and Prediction is accepted to WWW'14 WebSci for presentation. 1 (full) paper
Make It or Break It: Manipulating Robustness in Large Networks is accepted to SIAM SDM'14.
Apr 7, 2014 Full-day Workshop BGM @ WWW 2014 on Big Graph Mining 1 (short) paper on
External Evaluation of Topic Models: A Graph Mining Approach
is accepted to ICDM'13. Teaching
Machine Learning this Spring! 1 paper on
Sex Differences in the Human Connectome is accepted to BHI'13.
Tutorial on Big Graph Mining at this year's ASONAM. Slides right here Check out my new course
Networks and Data Mining Techniques About me
I am an assistant professor in the
Department of Computer Science at Stony Brook University.
My research interests are broadly in
data mining, graph mining, machine learning, and social media analysis.
I primarily focus on pattern mining, anomaly and event detection in large, time-varying graphs
using scalable algorithms and tools.
For recent projects, see our DATA Lab group page.
I am looking for highly (self-) motivated and hardworking Ph.D. students who are passionate in data mining research.
to Stony Brook University graduate program, if you are interested in joining our group.
Large-scale graph mining
Anomaly, event, and fraud detection
Statistical data analysis and applied machine learning
Social and information media/network analysis
I got my
Ph.D. from the Computer Science Department at
Carnegie Mellon University in Aug. 2012 (I defended this).
I was extremely fortunate to have Prof. Christos Faloutsos
as my Ph.D. advisor.
During my doctoral studies, I also worked at IBM T. J. Watson Research
Labs (two summers) and Microsoft Research at Redmond (one summer).
I hold a B.S. in Computer Science from Bilkent University, where
I was fortunate to be advised by Prof. Ozgur Ulusoy.
1425 Computer Science
Department of Computer Science
Stony Brook University
Stony Brook, NY 11794
Office hour: Tue 2:30 - 3:30 PM
Email: leman at cs dot stonybrook dot edu