Our Mission: Shaping Digitalisation

About the inIT

The Institute Industrial IT (inIT) of the Technische Hochschule OWL is one of the leading research institutions in the field of industrial information technology and thus one of the formative research institutes in the leading-edge cluster "it's OWL - Intelligent Technical Systems OstWestfalen-Lippe". Industrial communication, image processing, and authentication, computer intelligence, and human-technology interaction are among the institute's fields of expertise. Since its founding in 2006, the institute has raised more than 40 million euros in third-party funding to support research and development. On average, the annual volume of third-party funding is a remarkable 3.1 million euros. Currently, around 65 employees are working on publicly funded research projects and industrial commissioned research projects. In total, more than 160 bilateral and publicly funded research projects have already been carried out.

At inIT, information and communication technologies (ICT) are harmonized with the high demands of automation technology. After all, intelligent automation is the driving innovation engine not only for the German mechanical and plant engineering industry but also for other sectors such as food technology and manufacturing, as well as healthcare and the digitalization of the community. The focus of work at inIT is on the challenge of precisely capturing, efficiently distributing, and effectively processing information.

Today and in future, cyber security is the key to a successful implementation of resilient, comprehensively networked Industry 4.0 applications and intelligent technical systems.

Prof. Dr.-Ing. Henning Trsek

Interconnected Automation Systems, Cyber Security

Our society is facing significant changes. The shortage of labor and the necessity to handle our environment in a resource-efficient manner demand new solutions in industry and transportation. I would like to make an important contribution to this through applied research.

Prof. Dr. Ulrich Büker

Sensor data processing, intelligent systems, and autonomous vehicles

Digital transformation can only lead to success if technological innovation, human acceptance, and the corresponding business model are brought into harmony.

Prof. Dr. Lukasz Wisniewski

Technologies of Digital Transformation

Problems can be solved with authentication methods for intelligent technical systems where human capabilities reach their limits.

Prof. Dr. rer. nat. Helene Dörksen

Mathemetics and Authentication

Industrial communications have been the backbone of every decentralized automation system for more than 20 years. Intelligent networking will continue to play a very important role in Industry 4.0 in future.

Prof. Dr.-Ing. Jürgen Jasperneite

Automation and Industrial Information Technology, Computer Networks

Intelligent data-based processes can understand, monitor and optimize individual manufacturing processes.

Prof. Dr. rer. nat. Markus Lange-Hegermann

Image processing and pattern recognition in combination with sensor and information fusion have developed into a powerful tool for intelligent technical systems.

Prof. Dr.-Ing. Volker Lohweg

Discrete Systems: Image Processing and Pattern Recognition, Sensor and Information Fusion

With increasing complexity of production environments, the design of intuitive human-machine interfaces is becoming more and more important.

Prof. Dr.-Ing. Dr. phil. Dr. rer. soc. Carsten Röcker

Human-Technology Interaction

Industrial information and communication technology is a key driver of innovation - not only in automation, but also for the mobility solutions of the future.

Prof. Dr.-Ing. Stefan Witte

Communication Systems, Radio Systems in Automation

Since the founding of the institute, the inIT has been pursuing the vision of borderless communication under the guiding principle Where IT meets Automation, in which information is available at any place at any time in the necessary quality. Computer intelligence and machine learning make it possible to bring networked intelligent automation to various industries. Future intelligent technical systems are thus characterized by self-optimization, self-diagnosis, and high usability and can thus react better to changing and fluctuating market situations. With over 1000 scientific publications and more than 80 monographs, the inIT has excellent regional, national and international visibility. The institute thus contributes to strengthening German technology companies and society.

Li nk to the advisory board