Department of Computer Science
Starting September 2016, I will be an Assistant Professor at
Carnegie Mellon University's
Heinz College of Public Policy
and Information Systems, focusing on data mining for solving societal
problems using big data and computational methods. I will be looking for PhD students!
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.
May, 2016 1 paper Fast Memory-Efficient Anomaly Detection in Streaming Heterogeneous Graphs at ACM SIGKDD'16.
May, 2016 Won SIAM SDM 2016 Best Paper Runner-up award for joint work with Bryan Perozzi on scalable ranking of anomalies in attributed graphs!
Apr, 2016 Keynote speaker at the 12th International Workshop on Mining and Learning with Graphs (MLG) (co-located with KDD) on Aug 14th in San Francisco.
Apr, 2016 Invited to serve as Workshops Co-Chair of ACM SIGKDD 2017.
Apr, 2016 Invited speaker at the ICML 2016 Anomaly Detection Workshop on June 24th in NYC.
Mar, 2016 Keynote speaker at the 2016 SDM Workshop on Mining Networks and Graphs: "Fraud Detection with Networks and Beyond" on May 7th in Miami.
Mar, 2016 ACM SIGKDD 2016 Workshop ODD 4.0: Outlier Definition, Detection, and Description On-Demand, with F. Bell (Uber), E. Muller (HPI Germany), T. Senator (IARPA)
Mar, 2016 1 short paper Temporal Opinion Spam Detection by Multivariate Indicative Signals to appear at ICWSM'16)
Feb, 2016 Invited to serve as Workshops Co-Chair of SIAM SDM 2017.
Feb, 2016 Our work on social security fraud detection with V. Van Vlasselaer, T. Eliassi-Rad, M. Snoeck, and B. Baesens is to appear in the Management Science Journal.
Jan, 2016 Invited Associate Editorship for the IEEE Transactions on Knowledge and Data Engineering (TKDE) Journal.
Jan, 2016 Invited to the Editorial Board of the Data Mining and Knowledge Discovery (DMKD) Journal.
Jan, 2016 Our work on building anomaly ensembles is to appear in the Transactions on Knowledge Discovery from Data (TKDD) Journal.
Dec, 2015 3 papers on attributed graph anomalies and opinion spam at SIAM SDM'16.
Nov, 2015 1 paper Optimizing Network Robustness by Edge Rewiring: A General Framework at Data Mining and Knowledge Discovery (DAMI) (To appear at ECML PKDD'16)
Nov, 2015 SIGKDD 2016 Student Travel Awards Co-chair
Nov, 2015 ECML PKDD 2016 PhD Forum Co-chair
Nov, 2015 Talk on "3D's of Anomaly Mining" at University of Illinois at Chicago
Nov, 2015 Talk on "Semi-supervised Learning with Multi-Graphs" at Tepper School of Business at CMU
Oct, 2015 Talk on "3D's of Anomaly Mining" at KU Leuven
Oct, 2015 Attending Workshop on Information Networks (WIN) at NYU Business School (1 paper and 1 poster presentation).
Sep, 2015 Invited speaker at the NII Shonan Meeting on "Analytics on Complex Networks: Scalable Solutions for Empirical Questions" Japan, Feb 2016.
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
Selected Honors and Awards
NSF CAREER Award, 2015-2020
Best Research Paper Runner-up Award, SIAM SDM 2016
Best Research Paper Award, SIAM SDM 2015
Army Research Office Young Investigator Award, 2013
Best Paper Award, PAKDD 2010
Best Knowledge Discovery Paper Award, ECML/PKDD 2009 Background
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
Phone: 631 632 9801