In my current position of Professor of Machine Learning and Optimisation at Paderborn University my research mainly focuses on (Trustworthy) Artificial Intelligence, Machine Learning, Data Science, Automated Algorithm Selection and Configuration, Exploratory Landscape Analysis, (Multiobjective) Evolutionary Optimisation and Data Stream Mining. I am also (Guest) Professor of Data Science in the Data Management and Biometrics group at the University of Twente (NL) and until 2023, I was with the Department of Information Systems, University of Münster, Germany for ten years as Professor of Data Science: Statistics and Optimization. Moreover, I am currently key supporter of the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE) and Member of the European Research Center for Information Systems (ERCIS).

Curriculum Vitae

Education and Academic Career

01.03.2021 - 28.02.2026: Guest Professor of Data Science, Data Management and Biometrics Group, University of Twente, Netherlands

Since 01.10.2023: Professor of Machine Learning and Optimisation, Institute of Computer Science, Paderborn University, Germay

01.04.2013 - 30.09.2023: Professor of Data Science: Statistics and Optimization, University of Münster, Germany

01.01.2017 - 01.10.2022: Scientific Advisory Board Member, Westphalia Data Lab, Münster, Germany

01.01.2017 - 31.12.2017: Pascal Professor, Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Netherlands

15.04.2013: Habilitation in Statistics, TU Dortmund University, Germany

01.07.2004 - 31.03.2013: Postdoctoral Researcher, Statistics Faculty, TU Dortmund University, Germany

01.10.2002 - 30.06.2004: PhD student, Graduate School of Production Engineering and Logistics, TU Dortmund University, Germany

01.03.2001 - 30.09.2002: Analytics Consultant, Roland Berger Strategy Consulting, Munich, Germany

01.04.2000 - 28.02.2001: Consultant, Marketing Systems GmbH, Essen, Germany

01.10.1997 - 29.02.2000: University Studies in Statistics (Diploma), TU Dortmund, Germany

01.10.1996 - 31.07.1998: University Studies in Economic Mathematics (First Diploma), TU Dortmund, Deutschland

"The world is multi-objective ..."

Publications

Latest Publications

On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems

O.L. Preuß, J. Rook, H. Trautmann, in: Applications of Evolutionary Computation, Springer Nature Switzerland, Cham, 2024.

DOI

Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP

M. Vinzent Seiler, J. Rook, J. Heins, O.L. Preuß, J. Bossek, H. Trautmann, in: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2024.

DOI

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features

R.P. Prager, K. Dietrich, L. Schneider, L. Schäpermeier, B. Bischl, P. Kerschke, H. Trautmann, O. Mersmann, in: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2023, pp. 129–139.

DOI

Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features

R.P. Prager, H. Trautmann, in: J. Correia, S. Smith, R. Qaddoura (Eds.), Applications of Evolutionary Computation, Springer Nature Switzerland, Cham, 2023, pp. 411–425.

Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets

L. Schäpermeier, P. Kerschke, C. Grimme, H. Trautmann, in: M. Emmerich, A. Deutz, H. Wang, A.V. Kononova, B. Naujoks, K. Li, K. Miettinen, I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization, Springer Nature Switzerland, Cham, 2023, pp. 291–304.

Show all publications

"Never stop learning ..."

Teaching

Teaching Areas

My group offers basic and advanced courses in the areas of (human-centered and trustworthy) AI / data science, machine learning, algorithmics and optimisation, as well as specific courses, e.g. on automated algorithm selection and configuration, streaming data, or social media analytics. Building on my involvement in the European AI-initiative CLAIRE and my international research network, invited talks of well-known international researchers complement lectures and seminars. Through my experience from externally funded projects and my work in strategic management consulting, I support the transfer of methodological knowledge through targeted and informative applications and case studies. The statistical software R is used in exercises and also interactively in lectures.

Current Courses

Seminar: Machine Learning Assisted Evolutionary Multi-Objective Optimisation (in English)
Seminar: Data Stream Mining (in English)
Proseminar: Evolutionary Computation
Projektgruppe: Next Gen User Interface for optimization software based on Generative AI (in English)
Oberseminar: Maschinelles Lernen und Optimierung (in English)
Multi-Objective Optimisation (in English)
Angewandte Statistik mit R

Outreach

My work strongly fosters knowledge transfer from university to industry and vice versa. Transfer of current scientific findings into teaching and the integration of application-oriented research approaches are important ingredients of high-quality lectures. I have long-term experience in third-party funded projects cooperating with industry, was member of the scientific advisory board of an AI startup company for several years and used to work as analytics consultant in a strategic management consulting company. Also, I am involved in the executive Master and Certificate programs ’Data Science’ as well as ’IT Management’ at the University of Münster Professional School.

Scientific Engagement

Engagement in Scientific Organisations

Since 20.11.2023 | Member of the Executive Board 'Fakultätentag Informatik'

Since 15.07.2023 | Member of ACM Sigevo Executive Board

Since 01.09.2018 | Key supporter CLAIRE (Confederation of Laboratories for Artificial Intelligence Research in Europe)

Since 01.06.2013 | ERCIS Director (European Research Center for Information Systems), Münster, Deutschland

Editorial Boards and Editorship

Since 01.10.2021 | IEEE Transactions of Evolutionary Computation, Associate Editor

Since 01.08.2017 | Evolutionary Computation Journal, Associate Editor

01.01.2020 - 31.12.2022 | ACM Transactions on Evolutionary Learning and Optimization, Associate Editor

Membership in Scientific Societies

Since 01.10.2023 | Member of German Association of Computer Science (Gesellschaft für Informatik)

Since 01.01.2022 | Member of German Academic Association for Business Research (VHB)

Since 01.01.2019 | IEEE + IEEE Computational Intelligence Society, Full member

Since 01.02.2017 | Association for Computing Machinery (ACM) + ACM Sigevo, Full member