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Department of Engineering and Communication

Alexander Hagg (DE)

Dr Alexander Hagg

PhD student/Artificial intelligence (surrogate modelling)/Artificial Intelligence (Optimisation)


Department of Engineering and Communication

Research fields

  • Computer Aided Ideation, Computer Aided Intuition
  • Optimization, insb. evolutionary algorithms, quality diversity, phenotypic niching
  • Surrogatmodellierung und maschinellem Lernen, insb. Gaußprocessregression, neuronale Netze, Neuroevolution
  • Computer Vision
  • Robotics


Sankt Augustin


Grantham-Allee 20

53757 Sankt Augustin

Research Projects


OpenSKIZZE: Open source development tools for urban development: climate impact adaptation with cooperative AI-supported decision-making processes. As an open source AI assistant, OpenSKIZZE is intended to transfer the findings from climate models into concrete construction projects. This system is intended to involve all stakeholders in the process at an early stage and inform them about the effects of their decisions on the local urban climate.

Project management at the H-BRS

Dr Alexander Hagg

Multi-physics phenomena are central in many industrial applications and production lines, being directly connected to the efficiency and safety of the processes or the integrity of the produced parts. Embedded in process chains and engineering design tasks, multiphysics simulations successively become subject to tremendous automation and optimizations. This way, they are parts of Digital Twins, i.e., virtual, functional versions of systems that contain their properties and represent the life cycle of a system in the form of data and meta-data.

Project management at the H-BRS

Prof. Dr Dirk Reith
Full Domain Analysis for Fluid Mechanics

Artificial intelligence methods can efficiently help us understand aftermath requirements, constraints, and decision-making processes at an early stage. Algorithms are typically used in late stages of engineering development projects. We want to reverse this and show engineers early on which types of solutions meet their requirements.

Project management at the H-BRS

Dr Alexander Hagg
ELaBoR - Infrastructure for car charging stations

The goal of this project was to develop a strategy in order to extend the infrastructure of car charging stations in Bonn and the Rhein-Sieg-Kreis.  Based on goals set by the government and information about the distribution of the car density in the area of interest, scenarios for the extension between 2016 and 2020 have been identified. In order to achieve these goals, the number of charging stations has to be raised successively from 256 (in 2016) to a number of 935 in 2020. Therefore, a grid map for the distribution of charging stations for electronic cars and bicycles had to be created. Also so called "points of interest" (POIs) (tourist attractions, leisure time facilities, etc.) as well as park-and-ride stations have been taken into account. All those options have been ranked according to their priority and their individual traffic data. The current distribution of charging stations has been investigated beforehand. With the help of an algorithm, the best positions and distributions for charging stations have been determined. Though, further analysis is necessary in order to bring these proposals into practise. Therefore, a guildeline has been developed and tested in a workshop for the locations "Königswinter" and "Bonn City Centre".

Project management at the H-BRS

Prof. Dr Stefanie Meilinger


Dr. Alexander Hagg

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2015


Robin Strickstrock, Alexander Hagg, Marco Hülsmann, Karl Kirschner, Dirk Reith: Fine-Tuning Property Domain Weighting Factors and the Objective Function in Force Field Parameter Optimization.
doi:10.26434/chemrxiv-2024-vfzx8-v2 BibTeX | RIS


Alexander Hagg, Karl N. Kirschner: Open-Source Machine Learning in Computational Chemistry.
doi:10.1021/acs.jcim.3c00643 PMID BibTeX | RIS

Ludovico Scarton, Alexander Hagg: On the Suitability of Representations for Quality Diversity Optimization of Shapes.
doi:10.1145/3583131.3590381 BibTeX | RIS

Ludovico Scarton, Alexander Hagg: On the Suitability of Representations for Quality Diversity Optimization of Shapes.
arXiv doi:10.48550/arXiv.2304.03520 BibTeX | RIS

Alexander Hagg, Martin L. Kliemank, Alexander Asteroth, Dominik Wilde, Mario C. Bedrunka, Holger Foysi, Dirk Reith: Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimization.
doi:10.1162/evco_a_00326 PMID BibTeX | RIS

Max Müller, Alexander Hagg, Robin Strickstrock, Marco Hülsmann, Alexander Asteroth, Karl N. Kirschner, Dirk Reith: Determining Lennard-Jones Parameters Using Multiscale Target Data through Presampling-Enhanced, Surrogate-Assisted Global Optimization.
doi:10.1021/acs.jcim.2c01231 PMID BibTeX | RIS


Fabian Hammes, Alexander Hagg, Alexander Asteroth, Daniel Link: Artificial Intelligence in Elite Sports-A Narrative Review of Success Stories and Challenges.
PDF Download (CC BY 4.0) doi:10.3389/fspor.2022.861466 PMID urn:nbn:de:hbz:1044-opus-63714 BibTeX | RIS


Alexander Hagg, Alexander Asteroth, Christian Rasche, Kevin Bach, Mark Pfeiffer: Künst­liche Intelli­genz für den Spitzen­sport im Spannungs­feld zwischen Big und Small Data: (KISs-BiS).

Alexander Hagg: Discovering the preference hypervolume: an interactive model for real world computational co-creativity.

Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas Bäck: Expressivity of parameterized and data-driven representations in quality diversity search.
doi:10.1145/3449639.3459287 arXiv BibTeX | RIS

Alexander Hagg: Phenotypic Niching Using Quality Diversity Algorithms.
doi:10.1007/978-3-030-79553-5_12 BibTeX | RIS


Alexander Hagg, Alexander Asteroth, Thomas Bäck: A Deep Dive Into Exploring the Preference Hypervolume.
PDF Download (CC BY 4.0) URL urn:nbn:de:hbz:1044-opus-64423 BibTeX | RIS

Fabian Hammes, Daniel Link, Martin Lames, Alexander Hagg, Alexander Asteroth, Mark Pfeiffer: Einsatz von Künstlicher Intelligenz im internationalen Spitzensport – Eine Erhebung des Status Quo.
BibTeX | RIS

Alexander Hagg, Alexander Asteroth, Mark Pfeiffer, Fabian Hammes, Daniel Link: Einsatzmöglichkeiten und Transfer von Künstlicher Intelligenz im internationalen Spitzensport – zwischen Small und Big Data.
BibTeX | RIS

Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck: An Analysis of Phenotypic Diversity in Multi-solution Optimization.
doi:10.1007/978-3-030-63710-1_4 BibTeX | RIS

Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas Bäck: Designing Air Flow with Surrogate-Assisted Phenotypic Niching.
doi:10.1007/978-3-030-58112-1_10 BibTeX | RIS

Alexander Asteroth, Adam Gaier, Alexander Hagg, Jakob Meng, Andreas Priesnitz, Lea Prochnau, Dirk Reith: AErOmAt Abschlussbericht.
PDF Download doi:10.18418/opus-4850 urn:nbn:de:hbz:1044-opus-48506 BibTeX | RIS


Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier: Prediction of neural network performance by phenotypic modeling.
doi:10.1145/3319619.3326815 arXiv BibTeX | RIS

Alexander Hagg, Alexander Asteroth, Thomas Bäck: Modeling User Selection in Quality Diversity.
doi:10.1145/3321707.3321823 arXiv BibTeX | RIS


Alexander Hagg, Alexander Asteroth, Thomas Bäck: Prototype Discovery Using Quality-Diversity.
doi:10.1007/978-3-319-99253-2_40 arXiv BibTeX | RIS


Alexander Hagg: Hierarchical Surrogate Modeling for Illumination Algorithms.
doi:10.1145/3067695.3082495 arXiv BibTeX | RIS

Alexander Hagg, Maximilian Mensing, Alexander Asteroth: Evolving Parsimonious Networks by Mixing Activation Functions.
doi:10.1145/3071178.3071275 arXiv BibTeX | RIS

Helge Spieker, Alexander Hagg, Adam Gaier, Stefanie Meilinger, Alexander Asteroth: Multi-stage evolution of single- and multi-objective MCLP: Successive placement of charging stations.
doi:10.1007/s00500-016-2374-9 BibTeX | RIS

Alexander Hagg, Frederik Hegger, Paul Plöger: On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities.
arXiv doi:10.1007/978-3-319-68792-6_1 BibTeX | RIS


Alexander Hagg, Helge Spieker, Alexander Oslislo, Volker Jacobs, Alexander Asteroth, Stefanie Meilinger: Methodische Grundlegung für eine Strategie zum sukzessiven Ausbau der Ladeinfrastruktur für Elektromobilität in Bonn und dem Rhein-Sieg-Kreis: Studie zur Strategie für den Ausbau der Ladeinfrastruktur im Hinblick auf E-Autos und E-Zweiräder.

Helge Spieker, Alexander Hagg, Alexander Asteroth, Stefanie Meilinger, Volker Jacobs, Alexander Oslislo: Successive evolution of charging station placement.
doi:10.1109/INISTA.2015.7276733 BibTeX | RIS

Alexander Asteroth, Alexander Hagg: How to successfully apply genetic algorithms in practice: Representation and parametrization.
doi:10.1109/INISTA.2015.7276778 BibTeX | RIS