University of Münster
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Prof. Dr. Pascal Kerschke

No current affiliations available for this person. The person is no longer active at the university.

Curriculum Vitae (CV)

  • Data Science
  • Exploratory Landscape Analysis
  • Algorithm Selection
  • (Continuous) Black-Box Optimization
  • Multi-Objective Optimization
  • Machine Learning

Academic Education

10/2013 - 11/2017Doctoral Studies in Information Systems (PhD), School of Business and Economics, University of Münster
10/2010 - 09/2013Master Studies in Data Science (MSc.), Faculty of Statistics, TU Dortmund
10/2007 - 09/2010Bachelor Studies in Data Analysis and Management (BSc.), Faculty of Statistics, TU Dortmund

Work Experience

since 03/2021Chair of Big Data Analytics in Transportation, TU Dresden, Germany
11/2017 - 03/2021Head of Research Group for Machine Learning and Data Science at the Group of Information Systems and Statistics, University of Münster
10/2013 - 03/2021Research Associate, Group of Information Systems and Statistics, University of Münster
03/20179th International Conference on Evolutionary Multicriterion Optimization (EMO 2017), Co-Chair of Local Organization
10/2013 - 09/2016Study Coordinator for MSc. Information Systems

Functions and Memberships

since 2019Society of Classification (Gesellschaft für Klassifikation) Data Science Society
since 2019German Informatics Society (Gesellschaft für Informatik)
since 2019German Statistical Society (DStatG)
since 2019Benchmarking Network, Coordinating Member
since 2018COSEAL (Configuration and Selection of Algorithms), Member of the Advisory Board
since 2018CLAIRE (Confederation of Laboratories for Artificial Intelligence Research in Europe), Supporter
since 2015ACM SIGEVO (Special interest group on Genetic and Evolutionary Computation, Association for Computing Machinery)
since 2015Genetic and Evolutionary Computation Conference (GECCO), Member of the Program Committee
since 2013COSEAL (Configuration and Selection of Algorithms)

Appointments

2021Offer to a Professorship for Big Data Analytics in Transportation, Dresden University of Technology (accepted)

Publications

Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization
Aspar Pelin, Kerschke Pascal, Steinhoff Vera, Trautmann Heike, Grimme Christian (2021)
In: Ishibuchi, H. et al. (eds.), Evolutionary Multi-Criterion Optimization: 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings. Heidelberg, Berlin: Springer.
Type of Publication: Research article in edited proceedings (conference)
To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes
Schäpermeier Lennart, Grimme Christian, Kerschke Pascal (2021)
In: (eds.), . (no publisher available).
Type of Publication: Research article in edited proceedings (conference)
Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization
Prager, Raphael Patrick Seiler, Moritz Vinzent Trautmann, Heike Kerschke, Pascal (2021)
In: (eds.), . (no publisher available).
Type of Publication: Research article in edited proceedings (conference)
Estimation of component reliability from superposed renewal processes by means of latent variables
Rodrigues Agatha, Kerschke Pascal, de B. Pereira Carlos Alberto, Trautmann Heike, Wagner Carolin, Hellingrath Bernd, Polpo Adriano (2021)
In: Computational Statistics, 2021
Type of Publication: Research article (journal)
Initial Design Strategies and their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB
Bossek Jakob, Doerr Carola, Kerschke Pascal (2020)
In: (eds.), . ACM Press.
Type of Publication: Research article in edited proceedings (conference)
Show all publications

Projects

Algorithmization and Social Interaction
Duration: 01/10/2020 - 31/12/2021
Funded by: Uni Münster-internal funding - Topical Programs
Type of project: Internally at the University of Münster funded project
Benchmarking Network
Duration: since 01/12/2019
Type of project: Own resources project
Using Evolutionary Algorithms for Diversity Optimization
Duration: 16/02/2019 - 03/03/2019
Type of project: Own resources project
9th International Conference on Evolutionary Multi- Criterion Optimization, Münster 19. - 22.03.2017 (EMO 2017)
Duration: 19/03/2017 - 22/03/2017
Funded by: Participation / conference fees , DFG - International Scientific Events
Type of project: Scientific Event
Instance-Based Algorithm Selection of Inexact TSP solvers
Duration: 01/01/2017 - 31/12/2018
Funded by: German Academic Exchange Service
Type of project: Individual project
Show all projects

Talks

Current Research on Exploratory Landscape Analysis
Kerschke, Pascal; Preuss, Mike; Wessing, Simon; Trautmann, Heike (23/03/2015)
7th Plenary NumBBO Meeting, Paris, France
Type of talk: scientific talk

Prizes

Dissertation Prize of the School of Business and Economics of the University of Münster
Awarded by: University of Münster
Award given to: Kerschke, Pascal
Announced at: 12/11/2018 | Date of awarding: 15/12/2018
Type of distinction: Research award or other distinction
Invited Young Researcher at the 6th Heidelberg Laureate Forum
Awarded by: Heidelberg Laureate Forum Foundation
Award given to: Kerschke, Pascal
Announced at: 15/09/2018 | Date of awarding: 15/09/2018
Type of distinction: Research award or other distinction
PPSN XIV Best Paper Award (2016)
Awarded by: Edinburgh Napier University and Organizing Committee of PPSN XIV
Award given to: Kerschke, Pascal; Wang, Hao; Preuss, Mike; Grimme, Christian; Deutz, André; Emmerich, Michael; Trautmann, Heike
Announced at: 21/09/2016 | Date of awarding: 15/09/2016
Type of distinction: Best publication award

Doctorates

Automated and Feature-Based Problem Characterization and Algorithm Selection Through Machine Learning
Candidate: Kerschke, Pascal | Supervisors: Trautmann, Heike; Bäck, Thomas
Period of time: until 13/11/2017
Doctoral examination procedure finished at: Doctoral examination procedure at University of Münster