Computer Science Department, Lawson 2142D
305 North University Street
Purdue University
West Lafayette, IN 47907-2107

Email: neville [at] cs.purdue.edu, neville [at] stat.purdue.edu
Phone: (765) 496-9387
Fax: (765) 494-0739

Jennifer Neville

I am an Assistant Professor of Computer Science and Statistics at Purdue University.

My research interests lie in the fields of machine learning and data mining. In particular, I focus on the development and analysis of algorithms for relational domains, including social networks, citation analysis, and fraud detection. My recent work can be broadly categorized into three areas: (1) design and implementation of data mining techniques, (2) discovery of, and adjustment for, statistical biases due to relational data characteristics, and (3) application to real-world tasks.

News

Talk at IMA (03/12): Invited talk at the IMA Workshop on "Machine Learning: Theory and Computation", Institute for Mathematics and its Applications, University of Minnesota.
IBM Ph.D. Fellowship (03/12): Rongjing Xiang (graduate student) was awarded the 2012-2013 IBM Ph.D. Fellowship.
Ph.D. completion (02/12): Hoda Eldardiry successfully completed her dissertation "Ensemble Classification Techniques for Relational Domains". In March, she will join Palo Alto Research Center (PARC) as a research scientist.
Talk at IMA (02/12): Invited talk at the IMA Workshop on "Network Links: Connecting Social, Communication and Biological Network Analysis", Institute for Mathematics and its Applications, University of Minnesota.
NSF CAREER grant awarded (01/12): CAREER Grant: "Machine Learning Methods and Statistical Analysis Tools for Single Network Domains" was awarded by NSF.
Talk at Duke (11/11): CS Colloquia, Duke University, Durham, NC.
Talk at UT Austin (11/11): AI Seminar, University of Texas Austin, Austin, TX.
DARPA grant awarded (11/11): Grant with Cristina Nita-Rotaru: "Toward Intrusion Tolerant Clouds" was awarded by DARPA (subcontract through Johns Hopkins University).
Keynote talk (09/11): Keynote speaker at Workshop on Collective Learning and Inference for Structured Data, ECML 2011.
Mining and Learning with Graphs Workshop (08/11): Co-organizer of the 9th Workshop on Mining and Learning from Graphs, KDD 2011.
Keynote talk (07/11): Keynote speaker at Workshop on Enriching Information Retrieval, SIGIR 2011.
Machine Learning Summer School (06/11): Co-organizer of a two week summer school in machine learning for upper-level undergrad and grad students.
Talk at Bryn Mawr (03/11): Fantastic Lectures in Computer Science, Bryn Mawr College, Bryn Mawr, PA.
Talk at Berkeley (11/10): Neyman Seminar, University of California Berkeley, Berkeley, CA.
IARPA grant awarded (11/11): Grant: "Modeling Tools to Support Advanced Analysis of Multi-Source Network Data" was awarded by IARPA (subcontract through SAIC).
Talk at NYU (10/10): Invited talk at New York University, Stern School of Business, New York, NY.
NSF grant awarded (09/10): Grant with Ramana Kompella: "Towards Better Modeling of Communication Activity Dynamics in Large-Scale Online Social Networks" was awarded by NSF.
Talk at Sandia (08/10): Invited talk at Sandia National Laboratories in Livermore, CA.
Keynote talk (07/10): Keynote speaker at Workshop on Mining and Learning in Graphs, KDD 2010.
Talk at UMD (05/10): Invited talk at University of Maryland College Park in College Park, MD.
Talk at IUPUI (04/10): Invited talk at Indiana University/Purdue University-Indianapolis in Indianaoplis, IN.
Talk at UIUC (03/10): Invited talk at University of Illinois Urbana-Champaign in Urbana, IL.
WWW Google Award (03/10): Rongjing Xiang (graduate student) was awarded a Google grant to attend WWW2010 and present our paper on "Modeling Relationship Strength in Online Social Networks".
New NSF Science and Technology Center (02/10): Part of multi-institution team (led by Wojciech Szpankowski) that was awarded $25 million to create an NSF Science and Technology Center on the "Emerging Frontiers of Science of Information".
College of Science Award (02/10): Selected for the Purdue College of Science Interdisciplinary Research Award.
ICDM Paper Award (12/09): Paper with Brian Gallagher and Tina Eliassi-Rad on "Evaluating Statistical Tests for Within-Network Classifiers of Relational Data" was selected as the runner-up for the best research paper award in ICDM 2009.
New postdoc (09/09): Tao Wang joined lab as postdoctoral research associate.
NSF grant awarded (09/09): Grant with S.V.N. Vishwanathan and Sergey Kirshner on "Algorithms for Sampling Similar Graphs Using Subgraph Signatures" was awarded by NSF.
IMLS Treasurer (06/09): Accepted position as treasurer of the International Machine Learning Society.
NSF grant awarded (09/08): Grant with James Tyler and Stacey Connaughton on "Machine Learning Techniques to Model the Impact of Relational Communication on Distributed Team Effectiveness" was awarded by NSF.
Tutorials on Social Network Mining (08/08): Gave invited tutorial on "Social Network Mining" with Foster Provost at AAAI'08 and at KDD'08.
DARPA grant awarded (06/08): Grant on "Fusion and Analysis of Multi-Source Relational Data" was awarded by DARPA DSO.
MURI grant awarded (05/08): Multi-institution team (led by Ness Schroff) on "MAASCOM: Modeling, Analysis, and Algorithms for Stochastic Control of Multi-Scale Networks" was awarded by the Army Research Office.
IEEE Top Ten to Watch (06/08): Chosen as one of ten researchers in the IEEE Intelligent Systems AI's 10 to Watch list.
Talk at LLNL (05/08): Invited talk at Lawrence Livermore National Labs in Livermore, CA.
Talk at UMD (04/08): Invited talk at University of Maryland in College Park, MD.
Talk at NSA (08/07): Invited talk at National Security Agency in Fort Meade, MD.
IARPA grant awarded (09/08): Grant with David Jensen on "Learning Compositional Simulation Models" was awarded by IARPA DTO.
DARPA Computer Science Study Panel (01/07): Selected as a member of the 2007 DARPA Computer Science Study Group (CSSG).