Christoph Hoog Antink

Google Scholar (external)

• Artificial Intelligence in Medicine
• Medical Signal Processing
• Unobtrusive Health Monitoring
• Personalized Medicine

Since 2021 Assistant Professor (Tenure Track) for Biomedical Engineering, TU Darmstadt

2017 – 2020 Senior Scientist, Head of the Medical Signal Processing Group, Medical Information Technology, RWTH Aachen University

2012 – 2017 Scientist, Medical Information Technology, RWTH Aachen University, Ph.D. (Dr.-Ing.) in Electrical Engineering and Information Technology, RWTH Aachen University

2009 – 2011 Studies in Mechanical Engineering (M.S.), University at Buffalo, USA

2005 – 2012 Studies in Electrical Engineering and Information Technology (Dipl.-Ing.), RWTH Aachen University

2020 Membership “Junges Kolleg” (young scientists) of The North Rhine-WestphalianAcademy of Sciences, Humanities and the Arts

2019 “Borchers-Plakette” for outstanding achievements during the doctorate, RWTH Aachen University

2019 3rd place “Klee-Price” of the German Society for Biomedical Engineering in the VDE (DGBMT)

2017 DAAD / BMBF Stipend as part of the strategic partnership RWTH Aachen University / IIT Madras

2016 1. Place at the patient safety award in medical engineering of The German Societyfor Biomedical Engineering within VDE (DGBMT)

2013 Springorum-Medal of the RWTH Aachen University of Technology

2013 Student award of the SEW-EURODRIVE-Foundation

2009 – 2011 Fulbright Travel Grant

2006 – 2012 Scholarship of the German National Academic Foundation (“Studienstiftung des deutschen Volkes”)