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Fachhochschule Dortmund


Research Award of the sponsoring association of Fachhochschule Dortmund - University of Applied Sciences and Arts

Since 2002, the sponsoring association of Fachhochschule Dortmund - University of Applied Sciences and Arts has awarded a research prize to our researchers at the annual academic celebration. This award recognizes the best research projects at our university.

The research award honors outstanding research and development work,

  • which aim at a particularly relevant scientific gain in knowledge,
  • have a special artistic claim
  • have a concrete practical application or a special social significance,
  • which contribute to a sustainable development of technology or society,
  • which arise from several years of continuous research work in a special field or even relate interdisciplinary questions, methods and findings of different branches of science to each other,

which were worked on at Fachhochschule Dortmund - University of Applied Sciences and Arts and whose public presentation or publication mentioned Fachhochschule Dortmund - University of Applied Sciences and Arts. 

Award Winners


An extraordinary (university) year ended with an equally extraordinary academic annual celebration: on December 03, 2020, the ceremony took place virtually for the first time. It was also special that not one research project, but a whole working group was awarded the Research Prize 2020. Prof. Dr. Jörg Thiem from the Department of Information Technology and his Robotic Vision and Control working group were delighted to receive this award.

In his doctoral thesis, Prof. Dr. Jörg Thiem dealt with how humans process visual information in the eyes and the brain. 
This provides the biological inspiration for technical systems worldwide in the topic complex "Computer Vision", which pursue the goal of teaching the computer to see.
Mathematical concepts and algorithms in the form of computer programs, often artificial neural networks, form the basis for recognizing objects in the scene and determining their spatial position, for example. 
Prof. Thiem links image analysis with applications in medical technology for diagnosis and therapy, as well as robotics in all its forms (robotic arm, drone, autonomous driving) for the perception of the environment and autonomous navigation.
In his research group, research projects in different application scenarios are being worked on, which are, however, connected in an excellent way by "Computer Vision".
However, the staff and doctoral students recognize the synergies in the areas of drones, speech therapy and minimally invasive surgery and support each other profitably in problem finding.


For the first time at the "Kostbare Netzwerke" on Jan. 29, 2020, the stage was set for award-winning research. Prof. Dr. Gabriele Dennert, Department of Applied Social Sciences, and Prof. Dr. Thomas Felderhoff, Department of Information Technology and spokesperson for the research focus BioMedicineTechnology, were both awarded the 2019 Research Prize of the funding association in this context and outlined the main features of their research.

Prof. Dr. Gabriele Dennert received the research award for her work in the research project "Queergesund - Gesundheit lesbischer, bisexueller und queerer Frauen", funded by the BMBF. The central question of the research project was "How can the health of les-bi-queer women be promoted?". Non-heterosexual women have specific needs in health care and are more often affected by stress-related diseases due to discrimination. Among other things, Prof. Dr. Gabriele Dennert surveyed the health promotion needs of les-bi-queer women in order to better develop and plan future activities.

Prof. Dr. Thomas Felderhoff received the research award, among other things, for his work in the research project "MEDITHENA - mobile recording, diagnosis and interactive therapy of neck pain in everyday life", funded by the BMBF. Neck pain is a challenging medical as well as socio-economic problem with multiple causes. With the involvement of patients, physicians and therapists, a body-worn multisensory system for long-term recording of movement and position data has been developed. In addition, the system serves as a technical treatment assistant that provides the patient with therapy plans individually adapted by the physician/therapist for self-execution via smartphone/tablet app. Interactions with the system are possible via pain buttons, voice notes or user-adapted information processing.

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