Computer Science and Informatics

This presentation of our research environment is under revision, please be patient.


Research leader:

Ulf Seigerroth

The research area Computer Science and Informatics is of vital importance for the industry, society, and the public sector in order to deliver services, to be efficient, and to be competitive. But it will not generate any impact unless it is put into practice. As a consequence of this, most of our research is applied research, which we do in collaboration with industrial and public partners. Co-production is in many ways our guiding-star, where both practical impact (relevance) and scientific impact (rigor) are important goals. Our research has its base in Computer Science and Informatics. Within computer science we are specialized on Data science and in informatics we are specialized on Engineering Informatics. In data science we are focusing on developing Machine Learning algorithms for Data Analytics, when necessary utilizing high performance computing. In engineering informatics we are mainly focusing on Enterprise Modeling, Enterprise Architecture, Knowledge Modeling, and Semantic Technologies for different purposes. Examples of areas where we have expertise knowledge and experiences:

  • Artificial intelligence
  • (big) data analytics
  • Data mining
  • Enterprise architecture and business and IT alignment
  • Enterprise modeling and business analysis
  • Information logistics and information demand analysis
  • Knowledge-based software engineering
  • Knowledge representation and reasoning
  • Machine learning
  • Method engineering
  • Ontology engineering

Research environment – Computer Science and Informatics

The research environment was established as a research group at Jönköping University (JU), School of Engineering (JTH) in 2002 by Professor Kurt Sandkuhl. The research environment today consists of several of professors, researchers and PhD students. In our research environment we have established collaborations with a number of national and international partners:

  • Linköping University
  • Skövde University
  • University of Rostock
  • Federal state budgetary institution of Science of St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS)
  • Poznan University of Economics (PUE)

Within the areas of data science, entreprise architecture, andsematic technologies we have a strong emphasis on models and modeling as a useful tool for description, evaluation, requirement specification, design, and implementation of information systems (IS) and other IT artifacts. IS and other IT artifacts are to be regarded both as independent stand-alone products/services, embedded components, and bundled components in production systems and products (System-of-Systems). In a system (product/service) lifecycle modeling and models are used for different purposes, on different abstraction levels, on different levels of details, and with different degrees of formalism. Given the research profile at JTH our research environment has adopted a research profile within product realization and especially knowledge intensive product realization. Emerging new products and services require a tight integration of what often is separated in many enterprises into enterprise-IT (i.e. the IT supporting business and administrative parts) and product-IT (i.e., what is built into the products or supporting industrial automation). Recent development in Cyber Physical Systems (CPS) and Internet of Things (IoT) has opened opportunities for integrating Product-IT and Enterprise-IT to meet future demands.

Our research areas

Content updated 2016-08-16