Bodo Rosenhahn studied Computer Science (minor subject Medicine) at the University of Kiel. He received the Dipl.-Inf. and Dr.-Ing. degrees from the University of Kiel in 1999 and 2003, respectively. From 10/2003 till 10/2005, he worked as post doc at the University of Auckland (New Zealand), funded with a scholarship from the German Research Foundation (DFG). In 11/2005-08/2008 he worked as senior researcher at the Max-Planck Insitute for Informatics in Saarbruecken. Since 09/2008 he is Full Professor at the Leibniz University Hannover, heading a group on automated image interpretation.
His works received several awards, including a DAGM-Prize 2002, the Dr.-Ing. Siegfried Werth Prize 2003, the DAGM-Main Prize 2005, the IVCNZ best student paper award, the DAGM-Main Prize 2007, the Olympus-Prize 2007, the ICPRAM Best student paper award 2014, the ICMC Best student paper award 2014, the WACV 2015 Challenge Award, the Günter Enderle Award (Eurographics) 2017, the CVPR 2017 Multi-Object Tracking Challenge, a special price for the Road Damage Detection Challenge at the IEEE BigData conference 2018, the TÜV-Süd Innovation award 2018 and AIIDE Best Student Paper Award 2020. In 2011, the European Commission awarded Bodo Rosenhahn with a EUR 1.43 million ERC-Starting Grant and in 2013 with a POC Grant. In 2019, Bodo Rosenhahn received an Erskine Fellowship for a longer research stay at the University of Canterbury. He is head coach of the LUH AI competition team, published more than 180 research papers, journal articles and book chapters, holds more than 10 patents and edited several books. His current citations are available at google scholar.
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