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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: MZH 7220
Email: bueskens@math.uni-bremen.de
Phone: (0421) 218-63861

Research Areas

Leader of Projects

  1. OPA³L - Optimally Assisted, Highly Automated, Autonomous and Cooperative Vehicle Navigation and Localization (01.03.2019 - 14.02.2023)
  2. SmartDrive (01.11.2018 - 30.04.2020)
  3. AO-Car – Autonome, optimale Fahrzeugnavigation und -steuerung im Fahrzeug-Fahrgast-Nahbereich für den städtischen Bereich (since 01.09.2016)
  4. GalileoNautic (01.07.2016 - 30.06.2019)
  5. SmartFarm (since 01.01.2016)
  6. HERCULES 2 (since 01.05.2015)
  7. CAUSE-Cognitive Autonomous Subsurface Exploration (01.04.2015 - 30.09.2018)
  8. PIA-Parameter Identification Automotive (since 01.01.2015)
  9. EWOCS: Extension of WORHP to multi- and many-core Architectures (01.11.2014 - 31.01.2015)
  10. Echtzeittrajektorienberechnung für automatische Ausweichmanöver (01.10.2014 - 31.01.2016)

Courses (Selection)complete list

  1. Reading Course zur Numerik (Sommersemester 2019)
  2. Oberseminar Optimierung & Optimale Steuerung (Sommersemester 2019)
  3. Optimale Regelung (Wintersemester 2018/2019)
  4. Oberseminar Optimierung & Optimale Steuerung (Sommersemester 2009)
  5. Reading Course zur Numerik (Wintersemester 2018/2019)

Theses (Selection)complete list

  1. Tracking eines Industrieroboters via Model Predictive Control (Marieke Hoehne)
  2. Semi-supervised learning of convolutional neural networks by solving jigsaw puzzles (Benjamin Wagner)
  3. Identifikation und Kartierung von Untergrundparametern, basierend auf Optimalsteuerung und maschinellem Lernen (Eva Dierkes)
  4. Netzausbauplanung mittels parametrischer Sensitvitätsanalyse (Nils Stellmacher)
  5. Optimal trajectory planning with motion primitives in autonomous maneuvering (Luis Lüttgens)

Publications (Selection)complete list

  1. M. Knauer, C. Büskens.
    Real-Time Optimal Control Using TransWORHP and WORHP Zen.
    Modeling and Optimization in Space Engineering, G. Fasano, J. D. Pintér (Eds.), Springer Optimization and Its Applications, vol 144, pp. 211-232, Springer Verlag, 2019.

    DOI: 10.1007/978-3-030-10501-3_9

  2. M. Jacobse, C. Büskens.
    Revisiting Design Aspects of a QP Solver for WORHP.
    7th International Conference on Astrodynamics Tools and Techniques (ICATT), 06.11.-09.11.2018, , Germany.

    online at: https://indico.esa.int/event/224/contributions/3888/

  3. R. Kuhlmann, S. Geffken, C. Büskens.
    WORHP Zen: Parametric Sensitivity Analysis for the Nonlinear Programming Solver WORHP.
    OR2017, 06.09. - 08.09.2017, Berlin, Germany.
    Operations Research Proceedings 2017, N. Kliewer, J. F. Ehmke, R. Borndörfer (Eds.), pp. 649-654, Springer Verlag, 2018.

    DOI: 10.1007/978-3-319-89920-6_86

  4. F. Jung, C. Büskens.
    Probabilistic Data-Based Models for a Reliable Energy Management.
    2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 12.06-15.06.2018, , Italy.
    Conference Proceedings, pp. 1-6, 2018.

    DOI: 10.1109/EEEIC.2018.8494364

  5. C. Meerpohl, K. Flaßkamp, C. Büskens.
    Optimization Strategies for Real-Time Control of an Autonomous Melting Probe.
    2018 American Control Conference (ACC), 2018, Milwaukee, WI, USA.

    DOI: 10.23919/ACC.2018.8430877