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Medical technology

The Research Group Medical Technologies stands for

  • Interdisciplinary research involving researchers from four faculties (Electrical Engineering & Industrial Engineering, Computer Science, Mechanical Engineering, and Health/Communication/Human–Technology Interaction).
  • Relevant and internationally recognized research achievements and publications, particularly in the fields of AI-assisted image and sensor data processing, innovative sensing technologies for vital-sign monitoring, mixed reality-supported healthcare applications, personalized human–machine interfaces, and highly specialized design and manufacturing processes.
  • Excellent infrastructure through close integration with the AI Competence Center, providing access to high-performance computing resources, as well as several state-of-the-art university laboratories (Medical Device Engineering, Biomedical Engineering, Artificial Intelligence, Mixed Reality, Human Factors, and Additive Manufacturing).
  • Strong industry collaborations through the Medical Technology Network, which connects regional companies and healthcare institutions, as well as through intensive cooperation with the Medical Campus of Lower Bavaria and the Advisory Board for Medical Technology and Healthcare Management.
  • Future-oriented qualification of early-career researchers through participation in doctoral training centers, BayWISS, and the integration of student projects from seven degree programs into research activities (B.Sc. Biomedical Engineering, B.Sc. & M.Sc. Computer Science, B.Sc. Artificial Intelligence, M.Sc. Electrical Engineering, B.Sc. Engineering Psychology, and M.Sc. Applied Research in Engineering Sciences).

Key topics

VR, AR and 3D simulation

MR Bild mit Info

Imaging and image processing

EKG Verläufe

Vital and sensor data processing

Human-technology interaction in medicine and care

Handorthese aus 3D Drucker

Design and manufacturing processes

Medical technology network

The medical technology network emerged from a funding project in 2012 and comprises industrial and medical partners in the region. Activities in research and teaching are continuously expanding the network. Our network members benefit from knowledge transfer through regular events such as the medical technology poster symposium and contact with our young talent from various degree programmes such as biomedical engineering, computer science and electrical engineering.

Advisory Board for Medical Technology and Health Management

Landshut University of Applied Sciences offers a wide range of activities in medical technology and health management. On March 7, 2012, an advisory board was established with corresponding bylaws. This board provides the university with technical guidance and advice through recommendations and supports it with practical and consulting expertise as well as specialized lectures. This ensures that quality criteria are met and continuous development is guaranteed. The advisory board consists of up to eight members, equally divided between university faculty and external experts from the fields of medicine, business, social institutions, or technical colleges.

Internal members: Prof. Dr. Stefanie Remmele (Chair), Prof. Dr. Holger Timinger, Prof. Dr. Johann Jaud, Prof. Dr. Andreas Breidenassel

External members: Prof. Dr. med. J. Schmidt, MHBA, Chief Physician of General, Visceral, and Thoracic Surgery, La-Regio Kliniken Landshut-Mitte; Josef Krojer, CEO of System Industrie Electronic GmbH; Marc-Roger Göpfert, Director of R&D RT Positioning, Brainlab SE Munich; Theresa Feulner, Requirements Engineer, TÜV Süd Produkt Service

Research projects

Ongoing

Publications