Jonas Kantic

Jonas Kantic is a Ph.D. student and Researcher at the Chair of Integrated Systems within the Faculty of Electrical Engineering and Information Technology at Technical University of Munich. Holding a Master of Science in Technical Informatics from Leibniz University Hannover, his work focuses on AI acceleration architectures and embedded systems design.

• Education
  • Master's in Technical Informatics (2017-2020), Leibniz University Hannover
  • Chinese Language Studies (2018-2019), Beijing Foreign Studies University
  • Bachelor's in Technical Informatics (2013-2017), Leibniz University Hannover
• Research Focus
  • Specializes in reservoir computing architectures
  • Expertise in FPGA-based AI acceleration
  • Investigates temporal/spatial compression techniques
  • Develops efficient edge AI inference systems
  • Applies machine learning to motorcycle control systems
  • Works on hyperdimensional computing models
• Supervision
  • Mentored 5+ students in RNN accelerators, CNN optimization, and stochastic computing
  • Collaborates with industry partners (BMW Motorrad, NXP Semiconductors)
• Publications
  • 2024 - Complex & Intelligent Systems: Cellular Automata for Reservoir Computing
  • 2024 - IEEE NorCAS: FPGA Implementation for High-Speed Reservoir Models
  • 2021 - Current Directions in Biomedical Engineering: Hearing Aid CNN Optimization