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CS 2003-2004 Faculty Information - Department of Computer ...

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Daisuke Kihara<br />

Education:<br />

BS, Biochemistry, University <strong>of</strong> Tokyo, 1994<br />

MS, Bioinformatics, Kyoto University, 1996<br />

PhD, Bioinformatics, Kyoto University, 1999<br />

Positions:<br />

Assistant Pr<strong>of</strong>essor <strong>of</strong> <strong>Computer</strong> Science<br />

Assistant Pr<strong>of</strong>essor <strong>of</strong> Biological Sciences<br />

Bio-sketch:<br />

Dr. Kihara’s research interest is in the area <strong>of</strong> bioinformatics. In the last decade, a large amount <strong>of</strong> biological data, such<br />

as genome/protein sequences, protein 3D structures, and pathway data have become available. This data now enables<br />

us to employ comprehensive analysis <strong>of</strong> relationship between protein sequence, structure and function, evolution <strong>of</strong><br />

protein families, pathways, and organisms. Especially, he is focusing on developing computational methods to predict<br />

and analyze protein structure/function, pathway structure, and their applications in genome-scale or pathway/network<br />

scale. He has worked recently on protein structure prediction and comparison, development <strong>of</strong> prediction method <strong>of</strong><br />

transmembrane proteins, and its application to genome sequences.<br />

Selected Publications:<br />

Daisuke Kihara and Jeffrey Skolnick, “The PDB is a covering set <strong>of</strong> small protein structures,” Journal <strong>of</strong> Molecular<br />

Biology, Volume 334 pp. 793-802, <strong>2003</strong>.<br />

Daisuke Kihara, Yang Zhang, Hui Lu, Andrzej Kolinski, and Jeffrey Skolnick, “Ab initio Protein Structure Prediction<br />

on a Genomic Scale: Application to the Mycoplasma genitalium Genome,” Proceedings <strong>of</strong> the National Academy <strong>of</strong><br />

Sciences <strong>of</strong> the United States <strong>of</strong> America, Volume 99: pp. 5993-5998, 2002.<br />

Daisuke Kihara, Hui Lu, Andrzej Kolinski, and Jeffrey Skolnick, “TOUCHSTONE: An ab initio Protein Structure<br />

Prediction Method that Uses Threading-based Tertiary Restraints,” Proceedings <strong>of</strong> the National Academy <strong>of</strong> Sciences<br />

<strong>of</strong> the United States <strong>of</strong> America, Volume 98: pp. 10125-10130, 2001.<br />

Ninghui Li<br />

Education:<br />

BS, <strong>Computer</strong> Science, University <strong>of</strong> Science and Technology <strong>of</strong> China, 1993<br />

MS, <strong>Computer</strong> Science, New York University, 1998<br />

PhD, <strong>Computer</strong> Science, New York University, 2000<br />

Position:<br />

Assistant Pr<strong>of</strong>essor <strong>of</strong> <strong>Computer</strong> Science<br />

Bio-sketch:<br />

Pr<strong>of</strong>essor Ninghui Li joined Purdue in August <strong>2003</strong> as an assistant pr<strong>of</strong>essor in <strong>Computer</strong> Sciences. His research interests<br />

are in computer security and applied cryptography, e.g., security and privacy in distributed systems, networks,<br />

databases, and electronic commerce, with a focus on access control. One focus <strong>of</strong> Pr<strong>of</strong>essor Li’s work is on trust management,<br />

which is an approach to access control in decentralized, open, and distributed systems. He has designed,<br />

together with Pr<strong>of</strong>essors John Mitchell and Will Winsborough, the RT Role-based Trust-management framework,<br />

efficient goal-directed algorithms to do distributed credential chain discovery, logic-based semantic foundations for<br />

security policy languages, and algorithms and computational complexity characterization for analyzing properties <strong>of</strong><br />

security policies such as safety and availability.<br />

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