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

2000-2013
University of Maryland, Baltimore County (UMBC)
Ph.D. Computer Science (2013)
Dissertation: The Haar Wavelet Motif Relating Decision Trees, Neural Networks, and Rule-Exception Sets
M.S. Computer Science (2002)
Faculty advisor: Dhananjay Phatak

1996-2000
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

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

  2. Rory Mulvaney and Dhananjay S. Phatak. "Regularization and Diversification against Overfitting and Over-specialization" (April 2009)

Peer-reviewed publications

  1. 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. 81-93

  2. Rory Mulvaney and Dhananjay S. Phatak. Efficient Realization of Classification Using Modified Haar DWT, Proceedings of the IJCNN 2003, pp. 1774-1779

  3. Dhananjay S. Phatak and Rory Mulvaney. Clustering for Personalized Mobile Web Usage, Proceedings of the IEEE FUZZ'02, May 2002, pp. 705-710

Peer reviewing for publications




updated: 2014/04/05
rory1@umbc.edu, rorymulv@gmail.com
UMBC