Benjamin Kossack is a research associate at the Computer Vision & Graphics Group. His R&D activities are related to the following keywords: image and video processing, remote photoplethysmography (rPPG), hyperspectral imaging (HSI), presentation attack detection (PAD), living-skin detection, and Machine Learning for medical application.
For further details about his activities please check the subsections below.
Biography
Benjamin Kossack is a research associate in the Computer Vision & Graphics Group at Fraunhofer Heinrich Hertz Institute. He graduated with a Master of Science (M.Sc.) degree in Computer Engineering from the Technische Universität Berlin in 2019. From 2018 to 2019 he worked as a student assistant in the research projects HistoDect and 3D-Finder. His research interests span from image and video processing to contactless vital sign extraction, modeling in medicine and applying these in medical applications.
Education:
| 10/2016 - 01/2019 | M.Sc. in Computer Engineering at the Technische Universität Berlin (TU Berlin). |
| 01/2019 | Master thesis: "Local blood flow modeling and analysis from video sequences of human tissue". |
| 08/2015 - 12/2015 | Semester abroad at the Pittsburg State University in Pittsburg, Kansas (USA). Course of studies: Electrical Engineering. |
| 04/2013 - 09/2016 | B.Eng. in Electrical Engineering at the Beuth University of Applied Sciences Berlin. |
Work and Research Experience:
| since 03/2019 | Research associate, Computer Vision & Graphics Group, Fraunhofer HHI. |
| 05/2018 - 02/2019 | Student assistant, Computer Vision & Graphics Group, Fraunhofer HHI. |
| 05/2017 - 04/2018 | Working student in software development at IAV GmbH. |
| 10/2014 - 04/2017 | Working student in the Development of Electrical Implants group and in the Quality Management at BIOTRONIK SE & Co. KG. |
Research Topics
Publications
Projects
Further Information
Awards
Förderpreis 2019
of the "Freunde des Heinrich-Hertz-Instituts" for an outstanding master thesis.