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Bild Prof. Dr. Christof Büskens

Prof. Dr. Christof Büskens

Leader of WG Optimization and Optimal Control
Member of the high-profile areas Minds, Media, Machines and MAPEX

Room: NEOS 3050
Email: bueskens@math.uni-bremen.de
Phone: (0421) 218-63861
ORCID iD:  0000-0001-7385-4670

Research Areas

Leader of Projects

  1. Safety Control Center: Safety Control Center for a Galileo-based traffic scenario for autonomous shuttle buses (02.01.2023 - 30.04.2025)
  2. iMarEx: Intelligente Maritime Exploration (01.09.2022 - 31.08.2025)
  3. MUTIG-VORAN - Multiple transport processes in Galileo-based traffic scenarios using optimisation methods for real applications (01.01.2022 - 31.12.2024)
  4. FAST-CAST 2 - AI-based evaluation of earth observation data and weather model forecasts to generate optimal ship routes in polar waters (01.11.2021 - 31.10.2024)
  5. StartNOW- AI algorithms for autonomous lawn movers (01.08.2021 - 31.05.2022)
  6. SmartFarm2 (01.02.2021 - 31.08.2024)
  7. NeXaTauto - Holistic conception, field-based practical testing and validation of autonomous work processes in crop production (01.09.2020 - 31.12.2024)
  8. DiSCO2-Bremen: Data-based and intelligent simulation of traffic for CO2 reduction in Bremen (01.07.2020 - 31.12.2022)
  9. HVDC-MMC_with_MPC: A new method for reducing the power dissipation of MMC high-voltage converters using MPC (01.07.2020 - 30.06.2023)
  10. Int2Grids - Integration of intelligent neighbourhood networks into integrated networks (01.05.2020 - 31.12.2023)

Courses (Selection)complete list

  1. Reading Course Numerical Analysis (Sommersemester 2024)
  2. Digital Optimal Control and Optimal Feedback Control (Sommersemester 2024)
  3. Introduction to Nonlinear Optimization, Optimal Control and Optimal Feedback Control (Wintersemester 2023/2024)
  4. Digital Optimal Control and Optimal Feedback Control (Sommersemester 2023)
  5. Introduction to Nonlinear Optimization and Optimal Control (Wintersemester 2022/2023)

betreute/begutachtete Dissertationen (Selection)complete list

  1. Online Parameter Identification for Optimal Feedback Control of Nonlinear Dynamical Systems (Margareta Runge)
  2. Decomposition Methods for Parameter Identification and Bilevel Programming (Kai Schäfer)
  3. Adaptive Bewegungsplanung für taktische Entscheidungen autonomer Fahrzeuge im urbanen Umfeld: Der generische Hybrid A* (Andreas Folkers)
  4. Optimization-Based Reachability Analysis for Landing Scenarios (Kai Wah Chan)
  5. Use of Parametric Sensitivities for Multi-Objective Optimisation (Arne Berger)

Theses (Selection)complete list

  1. Optimale Steuerung eines vierrädrig gelenkten Fahrzeugs (Carl Wölper)
  2. Bayessche Optimierung (Marian Iske)
  3. Berechnung von Anhaltetrajektorien für das autonome Fahren (Johannes Langhorst)
  4. Identikation von Kraftwerkszuständen mittels Optimierung von Modellparametern eines realistischen Simulationsmodells (Michael Hohenäcker)
  5. Modellierung der Leistung einer Windkraftanlage und Optimierung ihrer Dimensionierung (Schoami Bieser)

Publications (Selection)complete list

  1. J. Langhorst, K. W. Chan, C. Meerpohl, C. Büskens.
    Computing Safe Stop Trajectories for Autonomous Driving Utilizing Clustering and Parametric Optimization.
    MDPI Open Access Journals Vehicles, 6(2):590-610, 2024.

    online at: https://www.mdpi.com/2624-8921/6/2/27

  2. M. Höffmann, S. Roy, C. Wanigasekara, C. Büskens.
    Sensitivity Analysis of Wind Affected Maneuverability of Tugboat-Controlled Ships.
    2024 IEEE SICE International Symposium on Control Systems (SICE ISCS), 18-20 March 2024 , Higashi-Hiroshima, .

    DOI: 10.23919/SICEISCS60954.2024.10505760

  3. M. Höffmann, S. Patel, C. Büskens.
    Optimal guidance track generation for precision agriculture: A review of coverage path planning techniques.
    Journal of Field Robotics, Wiley Online Library, , Wiley, 2024.

    DOI: 10.1002/rob.22286

  4. D. Klosa, C. Büskens.
    Low Cost Evolutionary Neural Architecture Search (LENAS) Applied to Traffic Forecasting.
    21st IEEE International Conference on Machine Learning and Applications (ICMLA), 12.12.-14.12.2022, , Bahamas.
    Mach. Learn. Knowl. Extr., 5(3):830-846, 2023.

    DOI: 10.3390/make5030044

  5. P. Kampmann, C. Büskens, S. Wang, D. Wübben, A. Dekorsy.
    Adaptive Steuerung für Unterwasser-Greifsysteme.
    KI-Technologie für Unterwasserroboter, F. Kirchner, S. Straube, D. Kühn, N. Hoyer (Eds.), pp. 127–136, Springer Verlag, 2023.

    DOI: 10.1007/978-3-031-42369-7_10