Dr. Mirko Knaak
Angestellt, Digital Transformation of core business and AI compliance, IAV
Berlin, Deutschland
Werdegang
Berufserfahrung von Mirko Knaak
Bis heute 4 Jahre und 10 Monate, seit Sep. 2019
Member of the Advisory Board (for AI)
Jobful
Bis heute 4 Jahre und 11 Monate, seit Aug. 2019
Digital Transformation of core business and AI compliance
IAVBis heute 6 Jahre und 6 Monate, seit Jan. 2018
Co-founder
RegTech Berlin
Reg Tech Berlin is a venture capital company focusing on tech investments with relevance to banks and insurance companies.
Seminar for measurement and diagnosis technology Teaching focus: Using machine learning to (predictive) diagnosis and other machine assessments
3 Jahre und 8 Monate, Jan. 2016 - Aug. 2019
Product owner Artificial Intelligence and machine learning
IAV Digital Lab
Using A.I. in all fields of engineering from design and calibration of engine to driving assistance up to autonomous driving Shaping leadership in digital age - agile, scrum and Co. Corporate mobility - door to door, end to end Creativity methods - design thinking Digital eco system of start ups and grown ups (large corporates)
3 Jahre und 9 Monate, Apr. 2012 - Dez. 2015
Head of Asian operations (Diesel engine development)
IAV GmbH
4 Jahre und 11 Monate, Mai 2007 - März 2012
President
IAV Co. Ltd.
3 Jahre und 5 Monate, Jan. 2004 - Mai 2007
Senior Research Engineer, Project manager
IAV GmbH
Research about model-based development of combustion engines Project management of international projects
5 Jahre und 2 Monate, Sep. 1998 - Okt. 2003
Research Assistent
Berlin Institute of Technology
Research about machine learning, statistical signal processing, in particular independent component analysis
2002 - 2002
Guest researcher
Communication science lab, NTT, Nara, Japan
Machine learning for unsupervised Independent component analysis
Ausbildung von Mirko Knaak
1998 - 2003
Electrical Engineering
Berlin Instiute of Technology
1995 - 1995
International Business
American University
1990 - 1997
Electrical Engineering
Berlin University of Technology
Signal Processing
Sprachen
Deutsch
Muttersprache
Englisch
Fließend
Japanisch
Grundlagen
Spanisch
Grundlagen