Our department participates in several research projects. 

Ocean DSL

OceanDSL focuses on the development and evaluation of domain-specific languages (DSLs) for ocean modelling. Aim is to provide specific languages for the different use cases and scientists with a variety of disciplinary backgrounds to foster their collaboration and the integration of their work. Furthermore, we want to support the reuse and repeatability of models and reduce the cost of development freeing scientists from programming labor.

Engaged are different stakeholders from the Helmholtz Centre for Ocean Research Kiel (GEOMAR) and the department's working groups Algorithmic Optimal Control - CO2 Uptake of the Ocean and Software Engineering.

MarDATA | Helmholtz School for Marine Data Science

Logo MardataDie

Marine sciences are challenged by the drastic in­­­crease in data streams from various sources. The traditional domains need to gather and develop information & data science tools to effectively utilize this amount of data, and to form improved insights to the processes of marine systems and their changes in a warming climate.

The “Helmholtz School for Marine Data Science” (MarDATA) is a graduate school, finances by the Helmholtz Association. It aims to define and educate a new type of “marine data scientists” by introducing and embedding researchers from computer sciences and mathematics into ocean sciences, covering a broad range from supercomputing and modelling, (bio)informatics, robotics, to statistics and big data methodologies. The department's working groups Algorithmic Optimal Control - CO2 Uptake of the Ocean, Archaeoinformatics - Data Science, Multimedia Information Processing, Software Engineering und Web Science are involved in various sub-projects.

GeRDI - Generic Research Data Infrastructure

GeRDI LogoThe GeRDI project deals with the development of a Generic Research Data Infrastructure (GeRDI). The aim is to enable all scientists in Germany, especially those who hold only small amounts of data, to store, share and re-use research data across disciplines. In a first phase three pilote data centers supporting the management of research data will be linked up with each other so that research data can be used across disciplinary boundaries, enabling new opportunities for multi-disciplinary research.In a second phase, the developed solution can be rolled-out in Germany and – if appropriate funding will be available – serve as a model for a future German Research Data Infrastructure. In particular, GeRDI will be able to support universities and research institutes in providing research data, in linking up their existing data stores and in establishing new research data stores. GeRDI pursues the idea of the European Open Science Cloud, supplementing current efforts to implement infrastructures for research data management.

From Kiel theGerman National Library for Economics – Leibniz Information Centre for Economics (ZBW) and the department's Software Engineering Group are members of the project consortium. The project is funded by the DFG

CRC 1266: "Scales of Transformation - Human-Environmental Interaction in Prehistoric and Archaic Societies"

CRC 1266 LogoThe CRC 1266 takes a long-term perspective, from 15,000 BCE to 1 BCE, to investigate processes of transformation in a crucial period of human history, from late Pleistocene hunter-gatherers to early state societies.

Funded by the German Research Foundation, the CRC combines research of  around 60 scientists from eight institutions and the Johanna-Mestorf-Academy of the Christian-Albrechts-University Kiel as well as the Centre for Baltic and Scandinavian Archaeology (ZBSA) and the Archaeological State Museum Schloss Gottdorf. The Information Systems Engineering group is engaged in the datamanagement part.

Excellence cluster 'The Future Ocean'

Several workgroups participate in the excellence cluster  The Future Ocean. The cluster researches the changes in oceans in the past, the present and the future with a unique interdisciplinary approach: Workgroups from Marine Science, Economic Sciences, Law, Social Sciences, Medicine, Computer Science and Applied Mathematics join their expertise in eleven multidisicplinary research groups. The results of their research are integrated in sustainable usage concepts and actions options for a worldwide management of the oceans. 

Participating workgroups

Algorithms and Complexity

Algorithmic Optimal Control - CO2 Uptake of the Ocean

Multimedia Information Processing

Software Engineering

Web Science


ARAMiS (Automotive, Railway and Avionics Multicore Systems)

The BMBF-joint project ARAMiS has set the goal to improve security, transport efficiency and comfort in the  mobility domains automotive, avionics and railway by creating its technological foundation, using multi-core technology.  The  workgroup Dependable Systems  is looking at how quality can be ensured when porting code from embedded systems with a  singlecore  to future  multicore  systems Mathematical methods and instruments help finding possible sources of mistakes, like deadlocks in concurrent programs and are of high interest for safety-critical applications.

PalMod: German Climate Modeling Initiative

Logo PalMod

PalMod is funded by the Federal Ministry of Education and Science (BMBF) to understand climate system dynamics and variability during the last glacial cycle. Specific topics are:

  • to identify and quantify the relative contributions of the fundamental processes which determined the Earth’s climate trajectory and variability during the last glacial cycle, >
  • to simulate with comprehensive Earth System Models (ESMs) the climate from the peak of the last interglacial (the Eemian warm period) up to the present, including the changes in the spectrum of variability, and
  • to assess possible future climate trajectories beyond this century during the next millennia with sophisticated ESMs tested in such a way.

The research is intended to be conducted over a period of 10 years, but with shorter funding cycles. The workgroup workgroup Algorithmic Optimal Control developes algorithms to optimize qualitiy an performance of the used models.