Rory Mulvaney
Research concepts
Optimization, Objective nonparametric multivariate probability density
estimation from sparse, high dimensional datasets
Research applications
Regularized regression, time series analysis, text mining, financial
volatility estimation, gene expression analysis
Favored tools
Class Teaching Assistant's announcements
Education
20002013
University of Maryland, Baltimore County (UMBC)
Ph.D. Computer Science (2013)
Dissertation: The Haar Wavelet Motif
Relating Decision Trees, Neural Networks, and RuleException Sets
M.S. Computer Science (2002)
Faculty advisor:
Dhananjay Phatak
19962000
University of Minnesota, Twin Cities
B.S. Computer Science, Summa Cum Laude
Senior Thesis: Parallelized Quantum Computer
Simulator
B.S. Math, Magna Cum Laude
Other reports

Rory Mulvaney "Leveraging to Minimize the Expected Multiplicative Inverse
Assets", US Utility Patent Application 13,052,065, March, 2011

Rory Mulvaney and Dhananjay S. Phatak. "Regularization and Diversification
against Overfitting and Overspecialization" (April 2009)
Peerreviewed publications

Rory Mulvaney and Dhananjay S. Phatak.
Generalized Haar DWT and Transformations between Decision Trees and Neural
Networks,
IEEE Transactions on Neural Networks,
vol. 17(1) (January 2006), pp. 8193

Rory Mulvaney and Dhananjay S. Phatak. Efficient Realization of Classification
Using Modified Haar DWT, Proceedings of the
IJCNN 2003, pp. 17741779

Dhananjay S. Phatak and Rory Mulvaney. Clustering for Personalized Mobile Web
Usage, Proceedings of the IEEE
FUZZ'02, May 2002, pp. 705710
updated: 2014/04/05
rory1@umbc.edu,
rorymulv@gmail.com
UMBC