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Koen Michiels is a Professor in the Department of Computer Science at KU Leuven, Belgium. He is affiliated with the NUMA (Numerical Analysis and Applied Mathematics) section and leads research in areas such as numerical optimization, particularly for large-scale and complex systems, local search metaheuristics, computational intelligence, and the analysis of algorithms. His work often involves developing robust and efficient algorithms for challenging optimization problems encountered in various domains, including engineering, operations research, and data science. Professor Michiels is known for his contributions to understanding the theoretical foundations of local search algorithms and their practical applications. He is an active supervisor of PhD students and postdoctoral researchers, contributing to the academic development of future scientists in his field.
Koen Michiels's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Holds a full professorship at KU Leuven, one of Europe's leading research universities, in the Department of Computer Science.
Co-authored the influential book 'Local Search in Combinatorial Optimization' (with Emile Aarts), a key reference in the field of metaheuristics and optimization.
Has a significant number of peer-reviewed publications in high-impact journals and conference proceedings, contributing to the advancement of numerical optimization and computational intelligence.
Leads and contributes to research projects within the NUMA section, focusing on developing cutting-edge optimization techniques and software.
Successfully supervised numerous PhD students, fostering new talent in the field of computer science and optimization.
Universiteit Gent - Year 2006
Universiteit Gent - Year 2002
St Godelieve Instituut
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Datasapiens, a.s. is a technology and consulting company specializing in data analytics, business intelligence (BI), and artificial intelligence (AI). They help businesses leverage their data to make informed decisions, optimize processes, and gain a competitive edge through custom solutions and expert services. Their focus areas include data warehousing, data visualization, machine learning model development, and providing end-to-end data-driven strategies for various industries.
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