Dr Dimitrios Gounopoulos

Dr Dimitrios Gounopoulos, Department of Informatics & Telecommunications, National & Kapodistrian University of Athens

Recent advances in biology, such as gene expression microarrays, are providing researchers a wealth of data, making the need for efficient data analysis technique very important, and thus making bioinformatics one of the most important applications of data mining. Here we will consider two specific examples of such applications. First we will consider data analysis techniques that have been proposed to analyze data that come from microarray experiments. We will focus on new clustering approaches, such as subspace clustering, that have been designed to cluster such data. Then we will present recent efficient indexing techniques for finding specific subsequences in large biological sequences.

Biographical Note:
Dimitrios Gounopoulos is an Associate Professor in the Department of Informatics and Telecommunications, University of Athens. He got his PhD from Princeton University in 1995. He has held positions at the Max-Planck-Institut for Informatics, the IBM Almaden Research Center, and at the Department of Computer Science and Engineering in the University of California Riverside. His research is in the areas of Data Mining, Knowledge Discovery in Databases, Databases, Sensor Networks, Peer-to-Peer systems, Computational Geometry and Algorithms. He has co-authored over a hundred journal and conference papers that have been very widely cited and a book. He has overseen 7 PhD and 17 MS Theses. His research has been supported by NSF (including an NSF CAREER award), the DoD, the Institute of Museum and Library Services, the Tobacco Related Disease Research Program, the European Commission, AT&T, and Nokia. He has served as a General co-Chair in the IEEE ICDM 2010 conference, as a PC co-Chair in the ECML/PKDD 2011, IEEE ICDM 2008, ACM SIGKDD 2006, SSDBM 2003, and DMKD 2000 conferences, and as an associate Editor at the IEEE TKDE, IEEE TPDS, and ACM TKDD journals.