The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:

Equation Discovery for Ecology and Systems Biology


Speaker: Dr. Saso Dzeroski
Affiliation: Jozef Stefan Institute, Slovenia
Category: Colloquium
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Monday, May 2, 2011
Time: 15:00-16:00 EET
Host: Antonis Kakas (kakas AT

The discovery of differential equations from measured data has been studied in the area of machine learning under the topic of computational scientific discovery, and more specifically equation discovery, for almost two decades. The talk will describe state-of-the-art methods for discovering differential equations from measured data and domain knowledge. It will then discuss several applications in the area of ecology (modelling aquatic ecosystems) and systems biology (modelling endosome maturation).

Short Bio:
Saso Dzeroski is a scientific councillor at the Jozef Stefan Institute and the Centre of Excellence for Integrated Approaches in Chemistry and Biology of Proteins, both in Ljubljana, Slovenia. He is also a professor at the Jozef Stefan International Postgraduate School. His research is mainly in the area of machine learning and data mining (constraint-based data mining, data mining query languages, inductive logic programming, inductive databases, relational data mining, and equation discovery) and their applications (mainly in environmental and life sciences). He has participated in many international research projects (mostly EU-funded) and coordinated two of them. He has organized many scientific events, including the International Conference on Machine Learning and two recent workshops on Machine Learning in Systems Biology, and is currently serving on the editorial boards of six journals. He is co-author/co-editor of more than ten books/volumes, the latest two of which are »Computational Discovery of Scientific Knowledge« (2007) and »Inductive Databases and Constraint-Based Data Mining« (2010).

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Sponsor: The CS Colloquium Series is supported by a generous donation from Microsoft