Stony Brook University, Computer Science
I am an assistant professor in the
Department of Computer Science at Stony Brook University and the director of the Data Analytics Techniques Algorithms (DATA) Lab.
My research interests are in
data mining, graph mining, machine learning, and social media analysis, with specific
focus on pattern mining, anomaly and event detection in large, time-varying graphs
using scalable algorithms and tools.
A short bio can be found here.
July, 2015 DARPA grant joint with IBM, Northwestern, UIC, and Stony Brook. Thanks DARPA!
July, 2015 Offering a new course: Data Science Fundamentals this Fall.
June, 2015 1 paper Discovering Opinion Spammer Groups by Network Footprints at ECML/PKDD'15.
May, 2015 Received a . Thanks Facebook! Facebook Faculty Gift
May, 2015 1 paper Collective Opinion Spam Detection: Bridging Review Networks and Metadata at ACM SIGKDD'15.
Apr, 2015 Best Research Paper at SIAM SDM 2015. Congrats Hau and Shuchu!
Apr, 2015 KDD 2015 tutorial "Graph-Based User Behavior Modeling: From Prediction to Fraud Detection" with Alex
Beutel and Christos Faloutsos.
Apr, 2015 Co-chairing KDD 2015 Workshop on Outlier Definition, Detection, and Description (ODDx3). Submit your work!
Mar, 2015 NSF (2015-2020). Thanks NSF!
CAREER award [Project_page]
Feb, 2015 1 paper Correlation of Node Importance Measures: An Empirical Study through Graph Robustness at WWW'15 (Web Science Track).
Jan, 2015 Invited talk at Workshop on Statistical and Computational Challenges in Networks, Web Mining, and Cybersecurity, Montreal, Canada (May 4-8).
Dec, 2014 2 papers Less is More: Building Selective Anomaly Ensembles and Where Graph Topology Matters: The Robust Subgraph Problem at SIAM SDM'15.
Nov, 2014 Invited talk at Huawei Technologies R & D, Santa Clara, CA.
June, 2014 1 paper Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships at HICSS'15.
Sep, 2014 Slides and Software for our SIGKDD 2014 paper is now online.
Sep, 2014 New course Data Mining meets Graph Mining this Fall.
July, 2014 Invited 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 Invited talk at Twitter Inc., San Francisco, CA
Mar 17, 2014 Invited 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
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.
I am looking for highly (self-) motivated and hardworking Ph.D. students who are passionate in data mining research.
Please apply to Stony Brook University graduate program, if you are interested in joining our group.
257 Computer Science Bldg.
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