Yaochu Jin / 金耀初

Zur Person

Ausbildung

  • 1988
    BSc, Department of Electrical Engineering, Zhejiang University, Hangzhou, China

  • 1991
    MSc, Department of Electrical Engineering, Zhejiang University, Hangzhou, China

  • 1996
    PhD, Department of Electrical Engineering, Zhejiang University, Hangzhou, China

  • 2001
    Dr.-Ing., Institute of Neuroinformatics, Ruhr University Bochum, Bochum, Germany

Wissenschaftlicher Werdegang

  • 1991 – 1996
    Assistant Lecturer, Lecturer (1993), Associate Professor (1996), Department of Electrical Engineering, Zhejiang University

  • 1998 – 1999
    Postdoctoral Research Associate, Department of Industrial Engineering, Rutgers University, USA

  • 1999 – 2002
    Scientist, Senior Scientist (2002), Honda R&D Europe, Offenbach/Main, Germany

  • 2003 – 2010
    Principal Scientist, Honda Research Institute Europe, Offenbach/Main, Germany

  • 2010 – 2021
    Chair, Distinguished Chair (2019) in Computational Intelligence, Honda Research Institute Europe, Offenbach/Main, Germany

  • 2015 – 2017
    "Changjiang Distinguished Visiting Professor", Northeastern University, Shenyang, China
    "Finland Distinguished Professor", University of Jyväskylä, Finland

  • 2016
    IEEE Fellow

  • 2018
    “Distinguished Visiting Scholar”, University of Technology Sydney, Australia

  • 2021
    Member of Academia Europaea

  • Since 10.2021
    Alexander von Humboldt Professor for AI, Faculty of Technology, Bielefeld University, Germany

Forschungsgebiete

  • Multi-objective optimization, data-driven optimization, robust optimization, dynamic optimization, federated optimization
  • Evolutionary learning, multi-objective learning, automated machine learning
  • Secure and privacy-preserving machine learning, trustworthy machine learning
  • Evolutionary developmental systems, neural plasticity, morphogenetic robotics