Prof. Dr. Christof Büskens

Research Areas

• Optimization
• Optimal control
• Feedback Control
• Identification of Parameters
• Dynamic Systems
• Real-Time Systems
• Industrial Mathematics
• Scientific Computing

Leader of Projects

1. BESTVILLE (01.04.2024 - 31.03.2025)
2. Safety Control Center: Safety Control Center for a Galileo-based traffic scenario for autonomous shuttle buses (02.01.2023 - 30.06.2025)
3. iMarEx: Intelligente Maritime Exploration (01.09.2022 - 31.08.2025)
4. MUTIG-VORAN - Multiple transport processes in Galileo-based traffic scenarios using optimisation methods for real applications (01.01.2022 - 30.06.2025)
5. 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 - 30.04.2025)
6. StartNOW- AI algorithms for autonomous lawn movers (01.08.2021 - 31.05.2022)
7. SmartFarm2 (01.02.2021 - 31.08.2024)
8. NeXaTauto - Holistic conception, field-based practical testing and validation of autonomous work processes in crop production (01.09.2020 - 31.12.2024)
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. DiSCO₂-Bremen: Data-based and intelligent simulation of traffic for CO₂ reduction in Bremen (01.07.2020 - 31.12.2022)

Courses (Selection)complete list

1. Einblicke in die Optimierung (Sommersemester 2026)
2. Introduction to Optimization and Optimal Control (Wintersemester 2025/2026)
3. Reading Course Numerical Analysis (Wintersemester 2025/2026)
4. Numerik 2 (Sommersemester 2025)
5. Research Seminar (Sommersemester 2025)

betreute/begutachtete Dissertationen (Selection)complete list

1. Modelling, Parameter Identification and Optimal Control of an Autonomous Novel Agricultural Maschine (Ruggero Simonelli)
2. Entwicklung einer Simulationsmethode zum Systemvergleich aktueller und alternativer Maschinenkonzepte am Fallbeispiel eines Gantry-Konzeptes (Lutz Plagge)
3. On the Concepts of Quality for Local Solutions of Nonlinear Programs (Ivan Mykhailiuk)
4. On Learning Hamiltonian Systems using Machine Learning with Focus on System Symmetry Preservation (Eva Dierkes)
5. Autonome robotische Exploration mittels Strategien der nichtlinearen Optimierung (Christian Meerpohl)

Theses (Selection)complete list

1. Entwicklung mathematischer Modelle zur Vorhersage subjektiver Empfindungen von FAS/HAF-Funktionen (Fabian Schönfeld)
2. Optimale Trajektorienberechnung für landwirtschaftliche Wendemanöver (Simon von Usslar)
3. Echtzeitbasierte Lokalisierung von Robotern in Innenbereichen unter Verwendung von Lidar-SLAM (Charif Safia)
4. Optimierung der Fahrtrouten und Kühlprozesse von Gas-Tankern unter Berücksichtigung der Meeresströmung (Mariam Al-Osman)
5. Numerische Lösung von Optimalsteuerungsproblemen mit Bereitstellung der Struktur und den Werten der analytischen Hesse-Matrix (Maximilian Zirpel)

Publications (Selection)complete list

1. L. Kappertz, C. Büskens.
   Physics-Based Modelling of a Milk Cooling System for Intelligent Energy Management.
   Anwendungen und Konzepte in der Wirtschaftsinformatik (AKWI), 20, Open Source Veröffentlichungssystem, 2025.

   DOI: 10.26034/lu.akwi.2024.6231

2. M. Wiesner, K. Schäfer, P. Shulpyakov, C. Büskens.
   TOPAS Model Fitting: A Tool for Parameter Identification of Dynamical Systems.
   Operations Research Proceedings 2023, Conference paper , pp 201–207, Springer Nature Switzerland, 2025.

   DOI: doi.org/10.1007/978-3-031-58405-3_26

3. S. Schettino, L. Liebig, M. Wiesner, S. Patel, C. Büskens.
   Online Parameter Identification for Dynamical Modeling of an Autonomous Catamaran.
   IEEE Xplore, 16.06.-19.06.2025, Brest, France, .
   OCEANS, IEEE, 2025.

   DOI: 10.1109/OCEANS58557.2025.11104494

4. X. Li, S. Patel, C. Büskens.
   Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework.
   , 11th International Conference on Automation, Robotics, and Applications (ICARA) , IEEE, 2025.

   DOI: 10.1109/ICARA64554.2025.10977698

5. 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