prof.dr. H. Trautmann (Heike)

I am Professor of Data Science: Statistics and Optimization, both at the University of Twente as well as at the Department of Information Systems, University of Münster, Germany. I am also Director of the European Research Center for Information Systems (ERCIS) and head of the ERCIS competence center Social Media Analytics.

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

# Automation
# Clustering Algorithms
# Deep Learning
# Hardness
# Machine Learning
# Multiobjective Optimization
# Vehicle Routing

Social Sciences

# Artificial Intelligence

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Datamanagement & Biometrics (DMB)

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

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. 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). [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). [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, [102311]. https://doi.org/10.1016/j.ijinfomgt.2021.102311

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I am study coordinator of the executive master program "Data Science" (WWU Weiterbildungs gGmbH, Münster). This is a joint program of UT and WWU.

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

Double degree Bachelor
“International Business Administration – Learning across Borders”
Double degree Master in
“Business Information Systems and Data Science”

Bachelor

International Business Administration

Master

Business Information Technology

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.