Inhalt des Dokuments
|Prof. Bülent Yener,
Rensselaer Polytechnic Institute, NY,
March 20, 2013, 2 - 3 p.m., TU Hochhaus, 14th floor, room Futurum (TEL
The structure / function relationship is fundamental to our understanding of biological systems at all levels, and drives most, if not all, techniques for detecting, diagnosing, and treating disease. The predominant means of collecting structure / function data in biomedicine is reductionist and has thus led to a proliferation of complex data (e.g., gene expression arrays, digital images) that capture only a fraction of this relationship because they are limited to one organizational scale each. In this talk we will present novel techniques to vertically integrate the information from multiple scales to build data driven models. Our techniques are based on building graphs and extracting graph theoretical features for clustering, classification, and prediction.
Bülent Yener is a Professor in the Department of Computer Science and in the Department of Electrical, Computer and Systems Engineering at Rensselaer Polytechnic Institute (RPI) in Troy, New York. He is the founding director of Data Science Research Center and co-director of Pervasive Computing and Networking Center at RPI. Prof. Yener received his M.Sc. and Ph.D. degrees in Computer Science, both from Columbia University, in 1987 and 1994, respectively. Before joining RPI, he was a member of the Technical Staff at the Bell Laboratories in Murray Hill, New Jersey. His research interests include bioinformatics, medical informatics, routing problems in wireless networks, security and information assurance, intelligence and security informatics. He has served on the Technical Program Committees of leading IEEE conferences and workshops. He has served as an associate editor of ACM/Kluwer Winet Journal and the IEEE Network Magazine, and chaired the IEEE Technical Committee on Computer Communications (TCCC) during 2006-2008. He is a senior member of the IEEE Computer Society, member of ACM, and member of the Engineering in Medicine and Biology Society. He also chaired the Networking Cluster of the IEEE Computer Society in 2007-2008.