Chair holder

Data Science
Machine Learning
Automated Algorithm Selection & Configuration
(Automated Machine Learning)
Optimization:
- Continuous (Black-Box) Optimization
- Multi-Objective Optimization
- Vehicle Routing
Benchmarking:
- Exploratory Landscape Analysis
- Visualization
- (Statistical) Performance Assessment
Interpretability of Algorithmic (Search and/or Decisions) Behavior
(Interpretable Machine Learning, Explainable AI)

Coordinating founding member:

Member and/or Supporter:

ACM SigEVO (Special Interest Group on Genetic and Evolutionary Computation der Association for Computing Machinery)
CLAIRE (Confederation of Laboratories for Artificial Intelligence Research in Europe)
DStatG (German Statistical Society)
ERCIS (European Research Center for Information Systems)
GfKl (Data Science Society)
GI (Computer Science Society)
IEEE CIS Task Force on Benchmarking

Publications

61 Entries

Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solversKerschke, P., Bossek, J. & Trautmann, H., 6 Jul 2018, Genetic and Evolutionary Computation Conference (GECCO) CompanionElectronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

Exploratory landscape analysis: Advanced Tutorial at GECCO 2017Kerschke, P. & Preuss, M., 15 Jul 2017, Genetic and Evolutionary Computation Conference (GECCO) CompanionElectronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
flaccogui: Exploratory Landscape Analysis for EveryoneHanster, C. & Kerschke, P., 15 Jul 2017, GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion. p. 1215–1222Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
An Expedition to Multimodal Multi-objective Optimization LandscapesKerschke, P. & Grimme, C., 19 Feb 2017, 9th International Conference on Evolutionary Multi-Criterion OptimizationElectronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

ASlib: A benchmark library for algorithm selectionBischl, B., Kerschke, P., Kotthoff, L., Lindauer, M., Malitsky, Y., Fréchette, A., Hoos, H. H. & 4 others, 2016, In: Artificial intelligence. 237, p. 41-58Electronic (full-text) versionResearch output: Contribution to journal > Research article
Low-Budget Exploratory Landscape Analysis on Multiple Peaks ModelsKerschke, P., Preuss, M., Wessing, S. & Trautmann, H., 2016, Proceedings of the Genetic and Evolutionary Computation Conference 2016Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Modelling interventions in INGARCH processesLiboschik, T., Kerschke, P., Fokianos, K. & Fried, R., 2016, In: International Journal of Computer Mathematics. 93, 4, p. 640-657Electronic (full-text) versionResearch output: Contribution to journal > Research article
The R-package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problemsKerschke, P. & Trautmann, H., 2016, 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE XploreElectronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

An overview of topic discovery in Twitter communication through social media analyticsChinnov, A., Kerschke, P., Meske, C., Stieglitz, S. & Trautmann, H., 2015, 2015 Americas Conference on Information Systems, AMCIS 2015Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Improving the state of the art in inexact TSP solving using per-instance algorithm selectionKotthoff, L., Kerschke, P., Hoos, H. H. & Trautmann, H., 2015, Learning and Intelligent Optimization: 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers. Springer, Vol. 8994Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

Cell Mapping Techniques for Exploratory Landscape AnalysisKerschke, P., Preuss, M., Hernández, C., Schütze, O., Sun, J., Grimme, C., Rudolph, G. & 2 others, 2014, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VElectronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

since 2021:
Chair for Big Data Analytics in Transportation,
"Friedrich List" Faculty of Transport and Traffic Sciences, Technische Universität Dresden, Dresden, Germany
since 2019:
Lecturer in the Master Degree Program IT-Management,
WWU Weiterbildung, Münster, Germany
since 2019:
Lecturer in the Certificate Degree Program Data Science,
WWU Weiterbildung, Münster, Germany
2017 - 2021:
Postdoctoral Researcher at the Chair of Data Science: Statistics & Optimization,
Department of Information Systems, University of Münster, Münster, Germany
2017 - 2020:
Lecturer in the Degree Program Business Administration and Taxes,
University of Applied Sciences Münster, Münster, Germany
2013 - 2017:
Research Associate at the Chair of Data Science: Statistics & Optimization,
Department of Information Systems, University of Münster, Münster, Germany

Education

2013 - 2017:
Doctoral Studies (Dr. rer. pol.) at the Department of Information Systems,
School of Business and Economics, University of Münster, Münster, Germany
- Title of PhD Thesis: Automated and Feature-Based Problem Characterization and Algorithm Selection Through Machine Learning
2010 - 2013:
Data Science (M.Sc.), TU Dortmund University, Dortmund, Germany
2011:
Semester Abroad (ERASMUS) at the University of Bergen, Bergen, Norway
2007 - 2010:
Data Analysis and Management (B.Sc.), TU Dortmund University, Dortmund, Germany

Awards and Prizes

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