PhD in Computer Science, Carnegie-Mellon University,
2003.
MS in Computer Science, State University of New York at Stony
Brook, 1995.
BS in Physics, University of Athens, Athens, Greece,
1991.
Interests
I work in the area of Machine Learning, Data Mining,
and Artificial Intelligence. The question that I am trying to
answer is: How can we make computers learn and improve from past
experiences in order to solve problems that require intelligence? My
current research interests include graphical models, statistical
modeling, Monte Carlo estimation, feature selection,
non-parametric statistics, learning from centralized or distributed
data, and parallel data mining. I am also keenly interested in
interdisciplinary applications.
Parichey Gandhi
(MS, graduated August 2007). MS Thesis:Dynamic Inference-Based Learning of Markov
Network Structure. [ PDF ]
Facundo
Bromberg (PhD, graduated December 2007). PhD Thesis:Markov Network Structure Discovery using
Independence Tests. [ PDF ]
Kyongryun Lee
(MS, graduated May 2005). MS Thesis:A Mixture Model of Bayesian Networks. [ PDF
]
Sandeep
Yaramakala (MS, graduated December 2004). MS Thesis:Fast Markov Blanket Discovery. [ PDF
]
Brian
Patterson (MS, graduated August 2004). MS Thesis:Essential Hidden Variables: An Introduction. [
PDF ]
Haitao
Cheng (MS, jointly advised with Robert Jernigan, graduated
August 2004). MS Thesis:Identifying Structure Fragments
by Sequence Alignments to Predict Protein Secondary Structures.
Haitao
Cheng (PhD, jointly advised with Robert Jernigan).
Interests: Sequence analysis, Algorithms in
Bioinformatics and Computational Biology, Protein
structure and interactions. Ongoing research includes
Regulatory Protein Molecular Model Construction Protein
secondary structure predictions Protein-protein
interaction, protein networks.