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János Botzheim, PhD

  • Status: associate professor
  • Degree: Ph.D.
  • Office: D403/C
  • E-mail:
  • Research fields: Computational Intelligence, Cognitive Robotics
  • Subjects: Korszerű informatikai eszközök, Gépészeti informatika
  • CV: magyar    english
  • Important publications:
    • Saputra AA, Botzheim J, Sulistijono IA, Kubota N: Biologically Inspired Control System for 3-D Locomotion of a Humanoid Biped Robot. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2016, 46(7):898–911, DOI:10.1109/TSMC.2015.2497250. [IF=2.35].
    • Tay NNW, Botzheim J, Kubota N: Joint probabilistic approach for real-time face recognition with transfer learning. Robotics and Autonomous Systems 2016, 75:409–421, DOI:10.1016/j.robot.2015.09.002. [IF=1.95].
    • Tang D, Yusuf B, Botzheim J, Kubota N, Chan CS: A novel multi-modal communication framework using robot partner for aging population. Expert Systems with Applications 2015, 42:4540–4555, DOI:10.1016/j.eswa.2015.01.016. [IF=2.981].
    • Botzheim J, Földesi P: Novel calculation of fuzzy exponent in the sigmoid functions for fuzzy neural networks. Neurocomputing 2014, 129:458–466, DOI:10.1016/j.neucom.2013.09.013. [IF=2.083].
    • Botzheim J, Cabrita C, Kóczy LT, Ruano AE: Fuzzy rule extraction by bacterial memetic algorithms. International Journal of Intelligent Systems 2009, 24(3):312–339, DOI:10.1002/int.20338. [IF=1.194].
  • Publication list: link