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collection from both experimental and numerical sources, gathering relevant test and simulation data available globally, organizing the collected data to support model and control algorithm development and
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analyses) using data obtained from several sources. The aim is to expand the theoretical framework for predictive asset management in the railway sector including establishment of suitable algorithms and
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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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and development of robot localization algorithms and computational methods. Responsibilities: Research and development of robot localization algorithms and computational methods Responsible for setting
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, Networking and Distributed Computing, Theory and algorithms; Electronics and Electrical Engineering, including but not limited to Power Systems and Integrated Energy, Power Electronics, Circuits
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens
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the supervision of Dr. Jun Xu Develop high-quality models, algorithms, experiments, or integrated modeling-characterization frameworks Publish first-author papers in leading peer-reviewed journals Contribute
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, dexterous, capable, and adapt better to their environment. The lab has showcased its research in robotic design and algorithms through real-world applications such as a robotic fish for underwater locomotion
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way, so that they become more flexible, dexterous, capable, and adapt better to their environment. The lab has showcased its research in robotic design and algorithms through real-world applications
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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational