Department of Engineering and Communication
Unit
Department of Engineering and Communication
Research fields
- Computer Aided Ideation
- Evolutionary Multi-Solution Optimization, Quality Diversity
- Machine Learning
- Gaussian Process regression
- Neuroevolution
- Generative Deep Learning
- Computer Vision
- Robotics
Location
Sankt Augustin
Address
Grantham-Allee 20
53757 Sankt Augustin
Profile
Dutch researcher with international experience in both teaching and research. Strong background in evolutionary optimization and generative and efficient machine learning in various domains, such as fluid dynamics, urban planning, computational chemistry, robotics and computer vision.
My primary interest is in efficient computer aided ideation algorithms that help us understand, early on, what good solutions to a problem might look like.
I get my inspiration from real world applications and nature, and am guided by the need to adapt to the climate catastrophy.
I received my PhD at the LIACS institute of the Leiden University in The Netherlands, where I created a framework and algorithms to interactively discover and incorporate user preferences in complicated computational domains. I use AI as a co-creator - to work together to explore extremely large optimization domains.
Personal webpage: https://alexander-hagg.github.io/
Profile Researchgate: https://www.researchgate.net/profile/Alexander-Hagg
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
The "Digital Twin-4-Multiphysics Lab" (DT4MP) focuses on urban digital twins (UDTs) and multiphysics twins for industry, treating both areas equally and synergistically. By integrating real-time data and advanced simulations, DT4MP enhances urban processes, infrastructures, and industrial production efficiency. Combining AI and machine learning, the lab provides services like data analysis and virtual testing for SMEs and larger companies. Founded by leading institutes, DT4MP drives digitalization research in urban and industrial contexts.
Project management at the H-BRS
Prof. Dr Sebastian Houben Prof. Dr Dirk Reith Dr Alexander Hagg
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
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
Publications