He is head of the SPOTSeven Lab ( http://www.spotseven.de ) and speaker of the research center “Computational Intelligence plus” at TH Köln. His expertise lies in optimization, simulation, and statistical analysis of complex real-world problems. He is one of the leaders in the field of statistical analysis of optimization algorithms.
Two UTOPIAE Ph.D. students will work in the SPOTSeven Lab. There are currently eight Ph.D. students in the SPOTSeven Lab that are supervised by Prof. Bartz-Beielstein. They are working on their Ph.D. studies in cooperation with national and international universities. Dr. Bartz-Beielstein is member of Ph.D. thesis committees at several European universities, e.g., Vrije Universiteit Amsterdam, Universiteit Leiden, Warwick Business School, TU Dortmund University, and University of Ionnina.
Dr. Bartz-Beielstein has managed more than ten nation and international research projects (budget more than 2M €).
He is teaching “Applied Mathematics”, “Computational Intelligence”, “Advanced Process Control and Optimization”, “Data-Driven Modeling and Simulation of Technical Processes”,
“Modeling, Simulation, and Optimization”, “Data Mining” and “Operations Research”.
Dr. Bartz-Beielstein serves as a program chair at several conferences, e.g., Parallel Problem Solving from Nature, Evolutionary Computation in Practice Track at the Genetic and Evolutionary Computation Conference (GECCO), GECCO Industrial Challenge, International Workshop on Hybrid Metaheuristics.
He is a member in program committees of the leading conferences in the field of computational intelligence, e.g., CEC, GECCO, PPSN, and SLS, and ANTS as well as a member of the “Association for Computing Machinery” (ACM), the ACM Special Interest Group “Genetic and Evolutionary Computation”, and a Member of the “Fachausschuss Computational Intelligence”, VDI/VDE-Gesellschaft für Mess- und Automatisierungstechnik.
He is a reviewer for several scientific institutions, e.g., European Commission (H2020), Dutch National Science Foundation, Natural Sciences and Engineering Research Council of Canada, Academy of Finland, Research Foundation Flanders, or Bundesministerium für Bildung und Forschung.
He serves as a reviewer for leading journals in the field of Computational Intelligence, Optimization and Simulation, e.g., “Applied Soft Computing”, “Computers & Operations Research”, “Evolutionary Computation Journal”, “IEEE Transactions on Evolutionary Computation”, and “Transactions on Evolutionary Computation (TEVC)”.
Prof. Bartz-Beielstein has edited six books and nearly 100 articles.
- Bartz-Beielstein and M. Zaefferer. Model-based methods for continuous and discrete global optimization. Applied Soft Computing, 2017. http://dx.doi.org/10.1016/j.asoc.2017.01.039
- Zaefferer, D. Gaida, and T. Bartz-Beielstein. Multi-fidelity modeling and optimization of biogas plants. Applied Soft Computing, 48:13–28, Nov. 2016. http://dx.doi.org/10.1016/j.asoc.2016.05.047
- Jung, M. Zaefferer, T. Bartz-Beielstein, and G. Rudolph. Metamodel-based optimization of hot rolling processes in the metal industry. The International Journal of Advanced Manufacturing Technology, pages 1–15, 2016. http://dx.doi.org/10.1007/s00170-016-9386-6
- Bartz-Beielstein, J. Branke, J. Mehnen, and O. Mersmann. Evolutionary algorithms. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4(3):178–195, 2014. http://dx.doi.org/10.1002/widm.1124
- Bartz-Beielstein, M. Chiarandini, L. Paquete, and M. Preuss, editors. Experimental Methods for the Analysis of Optimization Algorithms. Springer, Berlin, Heidelberg, New York, 2010. http://dx.doi.org/10.1007/978-3-642-02538-9
- Bartz-Beielstein. Experimental Research in Evolutionary Computation—The New Experimentalism. Natural Computing Series. Springer, Berlin, Heidelberg, New York, 2006. http://dx.doi.org/10.1007/3-540-32027-X
- Bartz-Beielstein, C. Lasarczyk, and M. Preuss. Sequential Parameter Optimization. In B. McKay et al., editors, Proceedings 2005 Congress on Evolutionary Computation (CEC’05), Edinburgh, Scotland, pages 773–780, Piscataway NJ, 2005. IEEE Press. http://dx.doi.org/10.1109/CEC.2005.1554761