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Department of Computer Science

20090926_FBINF_asteroth_sf.jpg (DE)

Prof. Dr Alexander Asteroth

Professor of Computer Science/Director of Institute of Technology, Renewables and Energy-efficient Engineering/Speaker of Efficient Mobility workgroup

Unit

Department of Computer Science, Institute for Technology, Renewables and Energy-efficient Engineering (TREE)

Research fields

  • Machine Learning (statistical and stochastic algorithms)
  • Surrogate Modelling

Location

Sankt Augustin

Room

A.022.3

Address

Grantham-Allee 20

53757, Sankt Augustin

Research Projects

GARRULUS

The aim of Garrulus is to develop a fast, reliable and cost-effective method for the reforestation of damaged German forest areas. To this end, it is planned to design and build a prototype for an unmanned aerial vehicle (UAV) that is capable of surveying the damaged terrain, accurately quantifying the extent of the damage and applying new seeds at suitable locations for reforestation.

Project management at the H-BRS

Prof. Dr Alexander Asteroth
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Information Maximisation Drone Control

Controlling a robotic system to perform a certain set of actions in an unknown and dynamic environment is easy if you have a perfect model of that environment. However, in the real world, such models are unavailable. In this research we are tackling the challenge of deploying an information maximization control strategy for Unmanned Aerial Vehicles (UAV) by accurately sensing and modelling dynamic environments using sensors and multi-sensor fusion methods.

Project management at the H-BRS

Prof. Dr Alexander Asteroth
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MICHA - Multispectral Imaging for Crop Health Assessment

In an ever growing world/economy and an increasing number of population comes the need to deploy modern techniques and technological advances to improve traditional farming. The field of precision agriculture (PA) enables accurate operational practices by farmers to assess agricultural produce, leading to a cost and time efficient predictive management of crops by providing real-time crop data.  As a result of predictive management and health assessment in PA, significantly smaller quantities of herbicides can be applied or even avoided altogether.

Project management at the H-BRS

Prof. Dr Alexander Asteroth
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TRE3L - TREE-Energy Lab

The institute TREE operates the TREE-Energy Lab (TRE3L) in the university's Center of Applied Research (ZAF)  with it's industrial partners GKN Driveline and GKN Sinter Metals. In the three sub-labs Powder Fabrication-Lab, Mobility-Lab and Hydrogen-Lab the three partners work on innovative techniques in powder metallurgy and recent topics of environment friendly mobility and energy-efficiency. These labs are supported by a Simulation-Lab.

Project management at the H-BRS

Prof. Dr Alexander Asteroth Prof. Dr Tanja Clees Prof. Dr Dirk Reith
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eTa - efficient transportation alternatives

The development of sustainable electromobility is one of the social challenges our time, which is considered in the research project eTa. The energy efficiency of vehicles is addressed in aerodynamic projects and optimized operating strategies. In particular, non-classic vehicle concepts are in focus. Alternative mobility concepts based on non-fossil fuels need new supply structures. The optimized expansion of the loading infrastructure is therefore another issue. But even the best mobility concept is useless if it is not accepted by society and implemented by politics and business. Therefore, acceptance questions are a central element of eTa, which will be further developed. The following areas are addressed primarily by the need to reduce energy consumption: Efficiency of the vehicles Alternative mobility concepts Efficiency of mobility concepts Technical acceptance In particular, these are questions which arise only from the combined consideration of these subject areas and are usually not fully answered in classical manner. Examples of this are optimization of hybrid controls for muscle-electric hybrid light vehicles and study of the aerodynamics of ultralight vehicles where results of the classic wind tunnel tests often do not correspond to the results of the practice. Other topics that we are dealing with are predictive operational strategies for electric combustion hybrid vehicles and loss optimization, optimization of multi-stage placement of charging stations, acceptance of alternative mobility concepts.

Project management at the H-BRS

Prof. Dr Alexander Asteroth
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Aeromat

A sustainable energy future requires that we both do more with less, and that we fully exploit the renewable energy sources we have available. In this project we explore a common thread between these two approaches, developing tools to better explore and understand aerodynamic design. On the one hand our tools can be used to improve the performance of aerodynamic vehicles, and on the other improving our ability to harvest energy from wind. We develop automated methods for the design of complete aerodynamic structures, using machine-learning techniques to guide iterative experimentation with novel designs. We focus on: Optimization of entire structures, rather than iterative improvement on existing designs Human-machine collaborative design exploration, to discover innovative design concepts Inclusion of structural mechanics and fluid structure interaction into the optimization, design, and modeling process Modeling techniques to support these goals, using data-driven approaches to approximate computationally intensive techniques and simulations In particular we face challenges when creating tools which address these issues in tandem, such as: modeling the performance of designs produced with non-traditional parameterizations broad exploration of possible designs in computationally demanding contexts optimization and modeling of aerodynamic and structural properties simultaneously  

Project management at the H-BRS

Prof. Dr Dirk Reith
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S4S - S.W.E.A.T. for Science

The question of how to produce effective and appropriate physical training plans is of great importance in many areas. For both professional and amateur athletes, getting the most out of every training session and progressing toward a long term fitness goal is of obvious interest. Even more important is the building of physical fitness for the less able-bodied. For cardiovascular patients and those in need of physical rehabilitation, the effectiveness of physical training is a quality of life issue of critical importance. Regardless of the application or goal, it is important to avoid injury or exhaustion due to training, and at the same time achieve the maximum long term performance improvement.

Project management at the H-BRS

Prof. Dr Alexander Asteroth
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DoVE

The goal of the Development of Vehicle Exteriors (DoVE) project is to explore new techniques in the automated engineering of three dimensional objects. We take the crafting of the aerodynamic shells which surround velomobiles as a test case, using evolutionary methods to develop stable, aerodynamic, light-weight designs.

Project management at the H-BRS

Prof. Dr Alexander Asteroth
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Infrastructure for car charging stations - ELaBoR

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-&-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
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E3C

The majority of work aimed at increasing transportation efficiency is centered around engineering: whether improving the efficiency of motors, the aerodynamics of the vehicle, or reducing the weight of the entire vehicle. Only now we are approaching an era where we can look to the automatic control of the vehicle as another opportunity to reduce fuel use. As a long overlooked area, it appears that even initial advances can have large benefits. In multiple pilot programs, single-day programs training automobile drivers to drive in a more fuel-efficient fashion brought reductions of between 10% and 20% in fuel consumption. For a heavy commercial truck in Europe, each percentage decrease saves nearly 500L of gasoline in a year. By controlling our vehicles not with a few lessons from a course, but with the aid of clever algorithms, we can expect even greater improvements.   

Project management at the H-BRS

Prof. Dr Alexander Asteroth
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Further Information

Teaching

Summer-Term 2019:

  • Forschungssemester

Winter-Term 2018/19:

  • Logische Grundlagen für die Informatik (deutsch)
  • Einführung in die Automatentheorie und formale Sprachen/  BCS 3. Sem, BIS 5. Sem. (deutsch)
  • Introduction to Complexity, Randomization, Approximation and PAC Learnability (english)
  • Mathematics for Robotics and Control, MAS 1. Semester (englisch)

Summer-Term 2018:

  • Genetic Algorithms, BCS 4.Sem (englisch)
  • Evolutionary Computation Theory and Application, MCS 1. Sem., MAS 2./3. Sem (englisch)
  • Introduction to Complexity, Randomization, Approximation and PAC Learnability (english)

Winter-Term  2017/18:

  • Logische Grundlagen für die Informatik (deutsch)
  • Einführung in die Automatentheorie und formale Sprachen/  BCS 3. Sem, BIS 5. Sem. (deutsch)
  • Introduction to Complexity, Randomization, Approximation and PAC Learnability (english)
  • Neuroevolution, BCS 5. Sem. (deutsch)

Summer-term 2017:

  • Mathematics for Robotics and Control, MAS 1. Semester (English)
    description
  • Evolutionary Computation Theory and Application, MCS 1. Sem., MAS 2./3. Sem (English)
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  • Genetic Algorithms, BCS 4.Sem, Summe School (English)
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Winter-term 2016/17:

Summer-term 2016:

Winter-term 2015/16:

Before winter-term 2015/16