Fields of interest:
Metaheuristics, global optimization, surrogate model-based optimization, industrial applications
Dr. Jose A. Egea is an Associate Professor at the Department of Applied Mathematics & Statistics at the Technical University of Cartagena, Spain since 2009. Previously, he completed his PhD in 2008 on metaheuristics (and particularly on scatter search) for complex process optimization, under the supervision of Prof. Julio R. Banga (CSIC, Spain) and Prof. Rafael Martí (University of Valencia, Spain). During his PhD and afterwards, he has done several research stays in different recognized institutions like Mälardarlens University (Sweden), SUPÉLEC (France), KU Leuven (Belgium), Pontificia Universidad Católica de Chile and European Bioinformatics Institute (UK).
The research activities of Dr. Egea are in the area of metaheuristics for optimization of complex and real-world processes both in the continuous and the integer domain. The developed methods have been applied to different optimization-related problems in industry and biotechnology, like integrated design, dynamic (and multiobjective) optimization, parameter identification and optimal experimental design. In the last years, his research has been applied on the area bioinformatics and systems biology.
Dr. Egea is the author or co-author of around 20 indexed scientific papers, 2 book chapters and several contributions to conference proceedings. He is currently leading funded research projects related to metaheuristic optimization in the fields of systems biology and biotechnology. He has been reviewer of articles from more than 10 different indexed international journals and has been part of the program committee of the Spanish Conference on Metaheuristics, Bio-inspired and Evolutionary Algorithms in the last editions.
Google Scholar: http://scholar.google.es/citations?user=bjbqBpwAAAAJ&hl=en