prof.dr. H. Trautmann (Heike)


About Me

I am Guest Professor of Data Science: Statistics and Optimization at the University of Twente and Professor of Machine Learning and Optimization at the Department of Computer Science, Paderborn University, Germany. I am member of the European Research Center for Information Systems (ERCIS) and head of the ERCIS competence center Social Media Analytics as well as the ERCIS research cluster 'Data Science and AI'.

My research mainly focuses on Data Science, Data Stream Mining, Social Media Analytics, Algorithmization and Social Interaction, Automated Algorithm Selection and Configuration as well as (Multiobjective) Evolutionary Optimization. 


Engineering & Materials Science
Clustering Algorithms
Deep Learning
Machine Learning
Multiobjective Optimization
Vehicle Routing
Social Sciences
Artificial Intelligence

Ancillary Activities

  • Paderborn University , Germany
    Professor of Machine Learning and Optimisation


Please have a look at my complete publication list :-)


Leszkiewicz, A. , Bucur, D., Grimme, C., Michalski, R., Clever, L., Pohl, J. , Rook, J., Bossek, J., Preuss, M., Squillero, G., Quer, S., Calabrese, A., Iacca, G. , Kizgin, D. H. , & Trautmann, H. (2022). Social Influence Analysis (SIA) in Online Social Networks. Paper presented at 4th Multidisciplinary International Symposium, MISDOOM 2022 , Boise, Idaho, United States.
Heins, J. , Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J. , & Trautmann, H. (2022). BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem Solving from Nature: PPSN XVII (pp. 192-206). (Lecture Notes in Computer Science; Vol. 13398). Springer. Advance online publication. https://doi.org/10.1007/978-3-031-14714-2_14
Rook, J. , Trautmann, H., Bossek, J., & Grimme, C. (2022). On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems. In GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 356-359) https://doi.org/10.1145/3520304.3528998
Steinhoff, V., Kerschke, P., Aspar, P. , Trautmann, H., & Grimme, C. (2021). Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. In IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 2445-2452). Article 9308259 https://doi.org/10.1109/SSCI47803.2020.9308259
Prager, R. P. , Trautmann, H., Wang, H., Bäck, T. H. W., & Kerschke, P. (2021). Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. In IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 996-1003). Article 9308510 https://doi.org/10.1109/SSCI47803.2020.9308510
Aspar, P., Kerschke, P., Steinhoff, V. , Trautmann, H., & Grimme, C. (2021). Multi 3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization. In H. Ishibuchi, Q. Zhang, R. Cheng, K. Li, H. Li, H. Wang, & A. Zhou (Eds.), Evolutionary Multi-Criterion Optimization: 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings (pp. 311-322). (Lecture Notes in Computer Science; Vol. 12654). Springer. https://doi.org/10.1007/978-3-030-72062-9_25
Coombs, C., Stacey, P., Kawalek, P., Simeonova, B., Becker, J., Bergener, K., Carvalho, J. Á., Fantinato, M., Garmann-Johnsen, N. F., Grimme, C., Stein, A. , & Trautmann, H. (2021). What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective. International journal of information management, 58, Article 102311. https://doi.org/10.1016/j.ijinfomgt.2021.102311

UT Research Information System

Google Scholar Link


I am study coordinator of the executive master program "Data Science" (University of Münster Professional School). This is a joint program of UT and the University of Münster.

In my previous role of Vice Dean of Internationalization at the University of Münster, I supported two Double Degree Agreements between UT and UM:

Affiliated Study Programmes



Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2022/2023

Current Projects

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands

Additional Contact Information

Department of Information Systems
Data Science: Statistics and Optimization 
University of Münster
Leonardo-Campus 3         
48149 Münster, Germany

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