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Aleš Zamuda

Prof. Aleš Zamuda

Electrical Engineering and Computer Science,  University of Maribor

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Assoc. Prof. Dr. Aleš Zamuda is an Associate Professor at the Faculty of Electrical Engineering and Computer Science, University of Maribor. He completed a PhD in Computer Science at the University of Maribor, and has been awarded awards and honors internationally, such as Danubius Young Scientist award, a gold medal at SIIF in Seoul, and the IEEE R8 SPC award. He recently led a consortium part for H2020 project DAPHNE: Integrated Data Analysis Pipelines for Large-Scale Data Management, HPC, and Machine Learning. He has published two dozen papers in various journals, a hundred more works in conference proceedings and books, and serves in theIEEE Computational Intelligence Society (CIS) Technical Committee (TC) on Evolutionary Computation (ECTC) and Intelligent Systems Applications (ISATC), and as a management committee member at COST action CA22137 - Randomised Optimisation Algorithms Research Network (ROAR-NET). He is an IEEE senior member and a member of ACM, SLING, SLAIS, and EurAI. His teaching discipline is computer science and his interests include differential evolution, multi-objective optimization, evolutionary robotics, artificial life, and cloud computing.

Research Keywords & Expertise

Artificial Life
Cloud Computing
Differential evolution
Multiobjective Optimiz...
Evolutionary Robotics

Fingerprints

78%
Differential evolution
9%
Multiobjective Optimization
5%
Artificial Life
5%
Cloud Computing

Short Biography

Assoc. Prof. Dr. Aleš Zamuda is an Associate Professor at the Faculty of Electrical Engineering and Computer Science, University of Maribor. He completed a PhD in Computer Science at the University of Maribor, and has been awarded awards and honors internationally, such as Danubius Young Scientist award, a gold medal at SIIF in Seoul, and the IEEE R8 SPC award. He recently led a consortium part for H2020 project DAPHNE: Integrated Data Analysis Pipelines for Large-Scale Data Management, HPC, and Machine Learning. He has published two dozen papers in various journals, a hundred more works in conference proceedings and books, and serves in theIEEE Computational Intelligence Society (CIS) Technical Committee (TC) on Evolutionary Computation (ECTC) and Intelligent Systems Applications (ISATC), and as a management committee member at COST action CA22137 - Randomised Optimisation Algorithms Research Network (ROAR-NET). He is an IEEE senior member and a member of ACM, SLING, SLAIS, and EurAI. His teaching discipline is computer science and his interests include differential evolution, multi-objective optimization, evolutionary robotics, artificial life, and cloud computing.