I am an Associate 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, information, and communication networks, as well as physical networks and distributed systems. My work can be broadly categorized into: (1) design and implementation of data mining techniques, (2) discovery of, and adjustment for, statistical biases due to networks data characteristics, and (3) application to real-world tasks.
Office: Computer Science Department, Lawson 2142D
Address: 305 N. University St., Purdue University, West Lafayette, IN 47907-2107
Email: neville [at] cs.purdue.edu
Phone: (765) 496-9387
Fax: (765) 494-0739
06/13: Invited talk at the International Conference on Network Science, Copenhagen, Denmark.
09/12: Invited talk at the Workshop on Information in Networks (WIN), New York University, Stern School of Business.
03/12: Invited talk at the IMA Workshop on "Machine Learning: Theory and Computation", Institute for Mathematics and its Applications, University of Minnesota.
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.
05/13: CVG Grant "A Heterogeneous Inference Framework for 3D Modeling and Rendering of Sites" awarded by NSF, with Daniel Aliaga and Yale University.
09/12: IIS Grant "Parametric Statistical Models to Support Statistical Hypothesis Testing over Graphs" awarded by NSF, with SVN Vishwanathan.
01/12: CAREER Grant "Machine Learning Methods and Statistical Analysis Tools for Single Network Domains" awarded by NSF.
11/11: DARPA grant Toward Intrusion Tolerant Clouds awarded by DARPA, with Cristina Nita-Rotaru and Johns Hopkins University.
07/13: On sabbatical at UC Berkeley: Visiting Scholar at the Simons Institute for the Theory of Computing, for the Fall 2013 Program on Theoretical Foundations of Big Data Analysis.
05/13: Received the Outstanding Achievement by a Young Alum award from University of Massachusetts Amherst.
01/13: Served as Associate PC Chair of the 27th AAAI Conference on Artificial Intelligence.
11/12: Serve as PC Co-Chair of the 4th ACM SIGSPATIAL International Workshop on Location-Based Social Networks.
08/12: Rongjing Xiang successfully completed her dissertation "Statistical Relational Learning for Single Network Domains" and joined Foursquare.
03/12: Rongjing Xiang (graduate student) was awarded the 2012-2013 IBM Ph.D. Fellowship.
02/12: Hoda Eldardiry successfully completed her dissertation "Ensemble Classification Techniques for Relational Domains" and joined Palo Alto Research Center (PARC) as a research scientist.