• M. Borodovsky is with the Wallace H. Coulter Department of Biomedical Engineering and the School of Computational Science and Engineering, Georgia Institute of Technology, and Emory University, Atlanta, GA 30332. E-mail: firstname.lastname@example.org.
• T.M. Przytycka is with the National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894. E-mail: email@example.com.
• S. Rajasekaran is with the Computer Science and Engineering Department, University of Connecticut, Storrs, CT 06269-2155.
• A. Zelikovsky is with the Computer Science Department, Georgia State University, Atlanta, GA 30303-4110. E-mail: firstname.lastname@example.org.
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Mark Borodovsky received the MSc degree in physics and operation research as well as the PhD degree in applied mathematics from the Moscow Institute of Physics and Technology, Russia. He is director of the Center for Bioinformatics and Computational Genomics as well as a Regents' Professor in the Wallace H. Coulter Department of Biomedical Engineering at the Georgia Institute of Technology (Georgia Tech) and Emory University and the School of Computational Science and Engineering at Georgia Tech. Dr. Borodovsky is also a founder of the Georgia Tech graduate program in bioinformatics and a chair of the Georgia Tech PhD program in bioinformatics. His research interests include bioinformatics and machine learning, with a focus on computational analysis of biological sequences, particularly, developing gene finding algorithms. He has published about 100 research papers, many of them in high impact factor journals such as Nature, Science, Proceedings of the National Academy of Sciences ( PNAS), Genome Research, Nucleic Acids Research, and Bioinformatics, with more than 6,000 citations in total. His book Problems and Solutions in Biological Sequence Analysis (written together with Svetlana Ekisheva) was published by Cambridge University Press. He has served as a cochair for nine international conferences, was an invited and keynote speaker at a number of conferences and symposiums, and he also serves as a member of editorial boards of Advances in Bioinformatics, Bioinformatics Research and Applications, and the Journal of Biomedicine and Biotechnology. He is a member of Educational Committee of the International Society of Computational Biology.
Teresa M. Przytycka received the master's degree from Warsaw University, Poland, and the PhD degree from the University of British Columbia, Vancouver. She is currently a senior investigator at the National Center for Biotechnology Information, National Institutes of Health, and is heading a research group focusing on developing algorithmic and graph theoretical approaches to study problems arising in computational and systems biology. She is particularly interested in the dynamical properties of biological systems, including spatial, temporal, and/or contextual variation and exploring how such variations are impacting gene expression, how they affect network topology, function, and the phenotype of the organism. She has published about 100 scientific papers, reviews, and book chapters in the areas of computational biology, computer science, and graph theory. She is a coeditor of a popular book on protein-protein interactions. She has served as a chair and/or program committee member of numerous prestigious computational and systems biology conferences. Currently, she serves on the editorial board of BMC Bioinformatics and the IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Sanguthevar Rajasekaran received the ME degree in automation from the Indian Institute of Science, Bangalore, in 1983 and the PhD degree in computer science from Harvard University in 1988. Currently, he is the UTC Chair Professor of computer science and engineering and the director of the Booth Engineering Center for Advanced Technologies at the University of Connecticut (UConn). Before joining UConn, he served as a faculty member in the CISE Department of the University of Florida and in the CIS Department of the University of Pennsylvania. During 2000-2002, he was the chief scientist for Arcot Systems. His research interests include bioinformatics, parallel algorithms, data mining, randomized computing, computer simulations, and combinatorial optimization. He has published more than 200 articles in journals and conferences. He has coauthored two texts on algorithms and coedited four books on algorithms and related topics. He is an elected member of the Connecticut Academy of Science and Engineering. He is a fellow of the IEEE and a fellow of the AAAS.
Alexander Zelikovsky received the PhD degree in computer science from the Institute of Mathematics at the Belorussian Academy of Sciences in Minsk, Belarus, in 1989 and worked at the Institute of Mathematics in Kishinev, Moldova, from 1989 to 1995. Between 1992 and 1995, he visited Bonn University and the Institut für Informatik in Saarbrüeken, Germany. Dr. Zelikovsky was a research scientist at the University of Virginia from 1995 to 1997 and a postdoctoral scholar at the University of California, Los Angeles, from 1997 to 1998. He is a professor in the Computer Science Department at Georgia State University, which he joined in 1999. His research interests include bioinformatics, discrete and approximation algorithms, combinatorial optimization, VLSI physical layout design, and ad-hoc wireless networks. He is the author of more than 160 refereed publications and coeditor of four books. Dr. Zelikovsky received the SIAM Outstanding Paper Prize, the best paper award at the joint Asia-South Pacific Design Automation/VLSI Design Conferences, and the best poster awards at the Annual BACUS Symposium on Photomask Technology and the Fifth Georgia Tech International Conference on Bioinformatics. He is founding cochair of the ACIS International Workshop on Self-Assembling Wireless Networks (SAWN) and the International Symposium on Bioinformatics Research and Applications (ISBRA). He has also served on the editorial boards of six journals and has been a guest editor for six special issues, including four in IEEE transactions.