معرفی
David Vincze is a researcher at the Department of Precision Mechanics, Chuo University, Japan. Previously affiliated with the University of Miskolc, Hungary, he has taught courses in Operating Systems, UNIX System Administration, and Modern Information Technologies. His research spans computational intelligence, fuzzy systems, reinforcement learning, and human-robot interaction.
- PhD in Computer Science
- Current Position: Researcher, Chuo University
- Previous Affiliation: University of Miskolc
David Vincze's research focuses on Fuzzy Systems, particularly Fuzzy Rule Interpolation (FRI), and its integration with Reinforcement Learning (e.g., FRIQ-learning). He applies these methods to Human-Robot Interaction (HRI), drawing inspiration from ethology and animal behavior. His recent work explores applications in Parent-Child Interaction Therapy (PCIT), using social robots to support child development and family communication. He also investigates Operating Systems Security, especially Linux kernel mechanisms.
His publications show a consistent trend in developing and optimizing FRI-based learning methods for real-time, embedded, and robotic applications. He has worked on performance optimization, parallelization, and knowledge injection in FRIQ-learning, aiming to make fuzzy reinforcement learning more efficient and applicable in dynamic environments.
Scientific Contributions:
- Developed FRIQ-learning: Fuzzy Rule Interpolation-based Q-learning
- Applied ethological models to robot behavior
- Designed fuzzy automata for HRI
- Optimized fuzzy inference for real-time systems
- Explored indoor localization for HRI experiments
Vincze has advised students such as Alex Tóth and has been involved in student supercomputing teams (ASC 2014–2017). He has developed various Linux tools, including security extensions for Apache, video filters for MPlayer, and drivers for TV tuner cards. He maintains active research profiles on ResearchGate, Google Scholar, and Scopus.
He leads projects in Mihoko Niitsuma's Lab at Chuo University, focusing on social robotics, behavior modeling, and real-time interaction systems.
