Chair holder
![Prof. Dr. rer. pol. Pascal Kerschke](https://tu-dresden.de/bu/verkehr/ivw/bda/ressourcen/bilder/team/tu-dresden_pascal_kerschke.jpeg/@@images/ab8b41ff-da02-4dad-b749-37903d168145.jpeg)
Professor
NameMr Prof. Dr. rer. pol. Pascal Kerschke
Send encrypted email via the SecureMail portal (for TUD external users only).
Chair of Big Data Analytics in Transportation
Chair of Big Data Analytics in Transportation
Visiting address:
Bürozentrum Falkenbrunnen (FAL), Room 005a (Ground Floor) Würzburger Str. 35
01187 Dresden
Office hours:
by appointment
- 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:
- Benchmarking Network
- COSEAL (Configuration and Selection of Algorithms)
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
2024
-
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization , 14 Jul 2024, Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM), p. 1007 - 1016, 10 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2023
-
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features , 30 Aug 2023, FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. p. 129-139, 11 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
Evaluation of Algorithms from the Nevergrad Toolbox on the Strictly Box-Constrained SBOX-COST Benchmarking Suite , 15 Jul 2023, GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
GECCO 2023 Tutorial: Exploratory Landscape Analysis , 15 Jul 2023, GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. p. 990–1007, 18 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games , Mar 2023, In: Applied soft computing : the official journal of the World Federation on Soft Computing (WFSC). 136, 110121Electronic (full-text) versionResearch output: Contribution to journal > Research article
-
A study on the effects of normalized TSP features for automated algorithm selection , Jan 2023, In: Theoretical computer science : the journal of the EATCS. 940, B, p. 123-145, 23 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
-
Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets , 2023, Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Proceedings. Emmerich, M., Deutz, A., Wang, H., Kononova, A. V., Naujoks, B., Li, K., Miettinen, K. & Yevseyeva, I. (eds.).14 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2022
-
Mixture of Decision Trees for Interpretable Machine Learning , Dec 2022, 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA). 8 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems , Dec 2022, In: IEEE Transactions on Evolutionary Computation. 26, 6, p. 1306-1320, 15 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
-
Process-Oriented Stream Classification Pipeline: A Literature Review , 9 Sep 2022, In: Applied sciences. 12, 18, 9094Electronic (full-text) versionResearch output: Contribution to journal > Research article
-
The objective that freed me: a multi-objective local search approach for continuous single-objective optimization , 5 Sep 2022, In: Natural computing : an innovative journal bridging biosciences and computer sciences ; an international journal. 22, 2, p. 271 - 285, 15 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
-
A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes , 8 Jul 2022, GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference. p. 657-665, 9 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
MOLE: Digging Tunnels Through Multimodal Multi-objective Landscapes , 8 Jul 2022, GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference. p. 592-600, 9 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
Estimation of component reliability from superposed renewal processes by means of latent variables , Mar 2022, In: Computational statistics. 37, 1, p. 355–379, 25 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
-
Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods , 2022, Parallel Problem Solving from Nature – PPSN XVII - 17th International Conference, PPSN 2022, Proceedings. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.).p. 3-17, 15 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems , 2022, 17th International Conference on Parallel Problem Solving from Nature. 15 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
HPO × ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis , 2022, Parallel Problem Solving from Nature – PPSN XVII - 17th International Conference, PPSN 2022, Proceedings. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.).p. 575-589, 15 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
Parallel Problem Solving from Nature – PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022, Proceedings, Part I , 2022, Springer, ChamElectronic (full-text) versionResearch output: Book/Report/Anthology > Monograph
2021
-
Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization , 5 Dec 2021, 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - ProceedingsElectronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization , Dec 2021, In: Computers and Operations Research. 136, 105489Electronic (full-text) versionResearch output: Contribution to journal > Research article
-
On the potential of normalized TSP features for automated algorithm selection , 6 Sep 2021, FOGA 2021 - Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic AlgorithmsElectronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
Lifting the Multimodality-Fog in Continuous Multi-objective Optimization , 2021, Natural Computing Series. p. 89-111, 23 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Chapter in book/anthology/report
-
Multi 3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization , 2021, Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Proceedings. Ishibuchi, H., Zhang, Q., Cheng, R., Li, K., Li, H., Wang, H. & Zhou, A. (eds.).p. 311-322, 12 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
-
To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes , 2021, Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Proceedings. Ishibuchi, H., Zhang, Q., Cheng, R., Li, K., Li, H., Wang, H. & Zhou, A. (eds.).p. 632-644, 13 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2020
-
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent , 1 Dec 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI)Electronic (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
- 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
- 09/2021:
Runner-Up of the FOGA XVI Best Paper Award (2021),
FH Vorarlberg and Organizing Committee of FOGA XVI - 12/2018:
Dissertation Prize of the School of Business and Economics,
University of Münster, Münster, Germany - 09/2018:
Invited Young Researcher at the 6th Heidelberg Laureate Forum,
Heidelberg Laureate Forum Foundation - 09/2016:
PPSN XIV Best Paper Award (2016),
Edinburgh Napier University and Organizing Committee of PPSN XIV