Andreas Tewes

Prof. Dr. rer. nat. Andreas Tewes is a Professor of Applied Mathematics at the Department II Mathematics - Physics - Chemistry, Berlin University of Technology. His expertise spans mathematical methods for signal and image processing, machine learning, computer vision, and applications in medical physics, automotive radar systems, and mathematical education.

• Education:
  • Diploma in Physics (University of Essen, 1998)
  • PhD in Neuroinformatics (Ruhr University Bochum, 2006)
  • Certificate in Medical Physics and Technology (Distance University of Kaiserslautern, 2000)

His research focuses on facial recognition, medical imaging, and mathematical visualization through tools like GeoGebra. He also contributes to projects like voxels.berlin for digital teaching. Previously, he led sensor solutions at Hella Aglaia Mobile Vision GmbH and worked at Ruhr University Bochum's Institute of Neuroinformatics.

As part of the GeoGebra working group (GIBB), he promotes visual learning methods and open educational software. His teaching includes courses in mathematics for medical physicists, engineers, and automated driving applications. Contact: atewes@bht-berlin.de.