Welcome...

prof.dr. H. Trautmann (Heike)

Professor

About Me

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. 

Expertise

Engineering & Materials Science
Artificial Intelligence
Automation
Clustering Algorithms
Deep Learning
Local Search (Optimization)
Machine Learning
Vehicle Routing
Social Sciences
Artificial Intelligence

Research

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

Publications

Recent
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
Seiler, M. V. , Trautmann, H., & Kerschke, P. (2020). Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. In Proceedings of the International Joint Conference on Neural Networks (IJCNN) https://doi.org/10.1109/IJCNN48605.2020.9207338
Seiler, M. V., Pohl, J., Bossek, J., Kerschke, P. , & Trautmann, H. (2020). Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In T. Bäck, M. Preuss, A. Deutz, H. Wang, C. Doerr, M. Emmerich, & H. Trautmann (Eds.), Parallel Problem Solving from Nature – PPSN XVI: 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I (pp. 48-64). (Lecture Notes in Computer Science; Vol. 12269). https://doi.org/10.1007/978-3-030-58112-1_4
Riehle, D. M., Niemann, M., Brunk, J., Assenmacher, D. , Trautmann, H., & Becker, J. (2020). Building an Integrated Comment Moderation System --- Towards a Semi-Automatic Moderation tool. In Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing: 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part II (Lecture Notes in Computer Science; Vol. 12195). Springer. https://doi.org/10.1007/978-3-030-49576-3_6
Lena, C., Frischlich, L. , Trautmann, H., & Grimme, C. (2020). Automated detection of nostalgic text in the context of societal pessimism. In C. Grimme, M. Preuß, F. Takes, & A. Waldherr (Eds.), Disinformation in open online media: First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers (pp. 48-58). (Lecture Notes in Computer Science; Vol. 12021). Springer. https://doi.org/10.1007/978-3-030-39627-5_5
Carnein, M. , Trautmann, H., Bifet, A., & Pfahringer, B. (2020). confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. In Learning and Intelligent Optimization: 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers (pp. 80-95). (Lecture Notes in Computer Science ; Vol. 12096). Springer. https://doi.org/10.1007/978-3-030-53552-0_10
Carnein, M. , Trautmann, H., Bifet, A., & Pfahringer, B. (2020). Towards Automated Configuration of Stream Clustering Algorithms. In Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I (pp. 137-143). (Communications in Computer and Information Science; Vol. 1167). Springer. https://doi.org/10.1007/978-3-030-43823-4_12
Bossek, J., Kerschke, P. , & Trautmann, H. (2020). Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. In 2020 IEEE Congress on Evolutionary Computation (CEC) IEEE EDS. https://doi.org/10.1109/CEC48606.2020.9185613
Bossek, J., Grimme, C. , & Trautmann, H. (2020). Dynamic Bi-Objective Routing of Multiple Vehicles. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '20) (pp. 166-174). ACM SIGCOMM.
Bossek, J., Grimme, C., Rudolph, G. , & Trautmann, H. (2020). Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. In 2020 IEEE Congress on Evolutionary Computation (CEC) https://doi.org/10.1109/CEC48606.2020.9185778
Assenmacher, D., Adam, L., Frischlich, L. , Trautmann, H., & Grimme, C. (2020). Inside the tool set of automation: Free social bot code revisited. In C. Grimme, M. Preuß, F. Takes, & A. Waldherr (Eds.), Disinformation in open online media (pp. 101-114). (Lecture Notes in Computer Science; Vol. 12021). Springer. https://doi.org/10.1007/978-3-030-39627-5_9
Assenmacher, D., Clever, L., Pohl, JS. , Trautmann, H., & Grimme, C. (2020). A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. In G. Meiselwitz (Ed.), Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis: 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I (pp. 201-214). (Lecture Notes in Computer Science book series; Vol. 12194). Springer. https://doi.org/10.1007/978-3-030-49570-1_14
Assenmacher, D., Adam, L. , Trautmann, H., & Grimme, C. (2020). Towards Real-Time and Unsupervised Campaign Detection in Social Media. In Proceedings of the Florida Artificial Intelligence Research Society Conference
Assenmacher, D., Clever, L., Frischlich, L., Quandt, T. , Trautmann, H., & Grimme, C. (2020). Demystifying Social Bots: On the Intelligence of Automated Social Media Actors. Social Media and Society, 6(3). https://doi.org/10.1177/2056305120939264

UT Research Information System

Google Scholar Link

Education

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:

Affiliated Study Programmes

Bachelor

Master

Courses Academic Year  2021/2022

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.
 

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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