Welkom...

prof.dr. H. Trautmann (Heike)

Hoogleraar

Over mij

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. 

Expertises

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

Nevenactiviteiten

  • Paderborn University , Germany
    Professor of Machine Learning and Optimisation

Onderzoek

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

Publicaties

Recent
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

Pure Link

Google Scholar Link

Onderwijs

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:

Verbonden aan Opleidingen

Bachelor

Master

Vakken Collegejaar  2023/2024

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
 

Vakken Collegejaar  2022/2023

Current Projects

Contactgegevens

Bezoekadres

Universiteit Twente
Drienerlolaan 5
7522 NB Enschede

Navigeer naar locatie

Postadres

Universiteit Twente
Postbus 217
7500 AE Enschede

Overige contactinformatie

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

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