![]() His areas of interest include differential evolution, multiobjective optimization, evolutionary robotics, artificial life, and cloud computing. As an affiliate of Faculty of Electrical Engineering and Computer Science at the University of Maribor he is positioned within research group Computer Architecture and Languages Laboratory and programme-funded unit Computer Systems, Methodologies, and Intelligent Services, and project DAPHNE: Integrated Data Analysis Pipelines for Large-Scale Data Management, HPC, and Machine Learning. degrees in computer science from University of Maribor, Slovenia, in 2006, 2008, and 2012, respectively. Aleš Zamuda received his B.Sc., M.Sc., and Ph.D. He has authored or co-authored more than 60 articles in journals and top conferences from the Evolutionary Computation and Artificial Intelligence areas and he has been involved as a researcher in 13 projects (national and international).Īssoc. He is member of the Programme Committee of GECCO, PPSN, EuroGP member of the Steering Committee of EuroGP and executive board member of SPECIES. He served as chair in the main conferences of the Evolutionary Computation field, namely EuroGP 20 as program-chair, and PPSN 2018 and EuroGP 2019 as publication chair. He is the co-creator of Structured Grammatical Evolution, Probabilistic Grammatical Evolution, and DENSER, a novel approach to automatically design Deep Artificial Neural Networks using Evolutionary Computation. His main research interests are in the areas Bio-Inspired Algorithms, Optimisation and Machine Learning. Formerly, he was appointed as a Senior Research Officer at the University of Essex in the United Kingdom. ![]() He is the current coordinator of the Evolutionary and Complex Systems (ECOS) group, and is a member of the Centre for Informatics and Systems of University of Coimbra (CISUC) since 2009. Nuno Lourenço is an Assistant Professor at the Department of Informatics Engineering of the University of Coimbra, where he obtained his PhD in Information Science and Technology in 2016. University of Coimbra, CISUC, DEI | webpage ![]() In 2015, he received the Evo* Award for Outstanding Contribution to Evolutionary Computation in Europe. He is a member of the editorial board of the GPEM and the ACM TELO journals. He has served as chair in several international scientific conferences, including GECCO and several events of Evo*. He has published more than 250 contributions and he has led numerous research projects. The latter covers several different fields among which computational biology, image processing, personalized medicine, engineering, logistics, economics and marketing. The former covers the study of the principles of functioning of Evolutionary Algorithms, with the final objective of developing strategies to outperform the existing techniques. His work can be broadly partitioned into theoretical studies on the foundations of Evolutionary Computation, and applicative work. His main research interests involve Machine Learning, Data Science, Complex Systems, and in particular Evolutionary Computation. Leonardo Vanneschi is a Full Professor at NOVA IMS. NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Portugal | webpage
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