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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. MUTIG-VORAN - Multiple transport processes in Galileo-based traffic scenarios using optimisation methods for real applications (01.01.2022 - 31.12.2024)
  2. 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)
  3. StartNOW- AI algorithms for autonomous lawn movers (01.08.2021 - 31.05.2022)
  4. SmartFarm2 (01.02.2021 - 31.01.2024)
  5. NeXaTauto - Holistic conception, field-based practical testing and validation of autonomous work processes in crop production (01.09.2020 - 31.08.2023)
  6. DiSCO2-Bremen: Data-based and intelligent simulation of traffic for CO2 reduction in Bremen (01.07.2020 - 31.12.2022)
  7. 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)
  8. Int2Grids - Integration of intelligent neighbourhood networks into integrated networks (01.05.2020 - 30.04.2023)
  9. VPH: Startprojekt Multifunktionale äußere Steuerfläche, Teilaspekt: Common Source, High-Performance-Computing und Optimierung (01.02.2020 - 31.03.2022)
  10. MAP-BORealis - Assisted navigation in sea ice on Arctic passages by calculating optimal routes using satellite based remote sensing data (01.07.2019 - 30.06.2021)

Courses (Selection)complete list

  1. Reading Course zur Numerik (Sommersemester 2022)
  2. Numerik 1 (Wintersemester 2021/2022)
  3. Reading Course zur Numerik (Wintersemester 2021/2022)
  4. Digitale optimale Steuerung und Regelung (Sommersemester 2021)
  5. Oberseminar Optimierung & Optimale Steuerung (Sommersemester 2021)

betreute/begutachtete Dissertationen (Selection)complete list

  1. Optimization-Based Reachability Analysis for Landing Scenarios (Kai Wah Chan)
  2. Use of Parametric Sensitivities for Multi-Objective Optimisation (Arne Berger)
  3. Echtzeitfähige Verbrennungssimulation eines Dual-Fuel Motors für eine Hardware-in-the-Loop Anwendung (Stefan Kraft)
  4. Low-Cost Failure-Tolerant Hybrid Navigation Designs for Future Space Transportation Systems (Guilherme Fragoso Trigo)
  5. Modellierung, Parameteridentifikation und optimale Drehzahlregelung eines Schiffsmotors im Gasbetrieb (Friedrich Kohlmai)

Theses (Selection)complete list

  1. Dynamische Parameteridentifikation mittels simultaner Datenregression und Gradientenvergleich (Sally Schiewelbein)
  2. Parameteridentifikation dynamischer System mittels eines Single-Shooting-Homotopieansatzes (Petr Shulpyakov)
  3. Entscheidungsfindung beim Spurwechsel eines autonomen Fahrzeugs durch Reinforcement Learning (Tom Bustert)
  4. Modellprädiktive Regelung durch Lösung quadratischer Probleme am Beispiel eines Kransystems (Henri Breuer)
  5. Analyse des Einflusses von Messdaten auf die Parameter eines Schiffsmodells mittels parametrischer Sensitivitäten (Tim Schnauder)

Publications (Selection)complete list

  1. M. Höffmann, S. Patel, C. Büskens.
    Weight-Optimized NURBS Curves: Headland Paths for Nonholonomic Field Robots.
    2022 8th International Conference on Automation, Robotics and Applications (ICARA), 18.02.2022 - 20.02.2022.
    Proceedings of the 8th International Conference on Automation, Robotics and Applications, pp. 81-85, 2022.

    DOI: 10.1109/ICARA55094.2022.9738525
    online at: https://ieeexplore.ieee.org/document/9738525

  2. A. Mallek, D. Klosa, C. Büskens.
    Enhanced K-Nearest Neighbor Model For Multi-steps Traffic Flow Forecast in Urban Roads.
    8th IEEE International Smart Cities Conference, 26.09-29.09.2022.
    Paphos, Cyprus, IEEE Xplore, pp. 1-5, 2022.

    DOI: 10.1109/ISC255366.2022.9921897

  3. A. Mallek, D. Klosa, C. Büskens.
    Impact of Data Loss on Multi-Step Forecast of Traffic Flow in Urban Roads Using K-Nearest Neighbors.
    Sustainability, 14(18), 11232, 2022.

    DOI: https://doi.org/10.3390/su141811232

  4. M. Knauer, C. Büskens.
    WORHP: Development and Applications of the ESA NLP solver.
    German Success Stories in Industrial Mathematics, H. Bock, K. Küfer, P. Maaß, A. Milde, V. Schulz (Eds.), Mathematics in Industry, vol 35, pp. 155-160, Springer Verlag, 2022.

    DOI: 10.1007/978-3-030-81455-7_25

  5. A. Folkers, M. Rick, C. Büskens.
    Time-Dependent Hybrid-State A⁎ and Optimal Control for Autonomous Vehicles in Arbitrary and Dynamic Environments.
    21th IFAC World Congress, 11.07.-17.07.2020, Berlin, Germany.
    Proceedings of the 21th IFAC World Congress, 53(2):15077-15083, 2021.

    DOI: 10.1016/j.ifacol.2020.12.2029
    online at: https://www.sciencedirect.com/science/article/pii/S2405896320326653