Dr. Kai Brüssau

My main research interest concerns Data Science and Optimization. I put my focus on the application of methods for business problems. For isntance, the question of using Large Language Models and Generative Pre-trained Transformers (GPTs)  for specific problems in different domains is of great interest for me. Furthermore, other methods and applications in the context of regression or classification models are considered.

My additional areas of interest are scheduling and production planning. Practical problems experienced by different companies have been solved in numerous projects.  Among these are the vehicle routing problem related the port area or the terminals as well as the machine occupancy planning problem for various industrial companies. In every single case, applying heuristics, especially local search methods, to real-world problems requires an individual adaptation to the concerned system and the development of powerful models. The variety of the projects I took part in, rendered an evaluation of the newly developed algorithms possible. The latter clearly eludicated that the planning quality can be significantly improved by these new algorithms.

Bachelor:

• Introduction to Information Systems for B.A. Students (GRWINF)
• Web Applications
• Modelling of Information Systems
• Object-Oriented Programming
• supervising term- and project papers as well as final degree theses

Master:

• Computational Planning
• Data-Mining
• Project Management
• supervising term- and project papers as well as final degree theses

Past Lectures:

• Business Process Execution
• Business Process Management
• J2EE: Modelling and Developing of various Application Systems
• Object-Oriented Software Development with Java
• Object-Oriented Programming with VB.Net

My lectures are based on Data Science, Information Systems and Computational Planning. Programming and modeling techniques for software development are an important part of my lectures well as sheding light on the business side, such as project, data or information management. The lectures on Computational Planning and Data Mining deal with quantitative mathematical methods to solve business planning problems. These are implemented with the help of in-house developed software programs.

Books:

Arabnia, H. R., Daimi, K., Stahlbock, R., Soviany, C., Heilig, L., & Brüssau, K. (Eds.). (2020). Principles of Data Science. Springer.

Brüssau, Kai: Eclipse Web Tools Platform, entwicklerpress, 2008

Brüssau, Kai und Widder, Oliver: Eclipse - Die Plattform, Software&support-Verlag, 2. Ed., 2006

Brüssau, Kai und Widder, Oliver: Eclipse - Die Plattform, Software&support-Verlag, 2005

Brüssau, Kai: Evolutionäe Algorithmen zur simultanen Losgrößen- und Ablaufplanung, DUV, 2002

Published Papers:

Classifying maritime port emissions reporting (mit Philip Cammin und Stefan Voß), in. Maritime Transport Research, 3, 100066, (2022).

Feinplanung für die Kunststoffgranulat-Produktion (mit Sebastian Friedrich und Stefan Voß), in: PPS Management (February 2008).

J2EE mit Eclipse: J2EE-Anwendungen mit Eclipse und Lomboz, in: Eclipse Special (2005).

Komponenten bei der Softwareerstellung. in: WISU - Das Wirtschaftsstudium 31 (2002), p.1215-1218