Fuzzy Systems Research Group
The Fuzzy Systems Research Group founded at the Bánki Donát Faculty of Mechanical and Safety Engineering at Óbuda University. It is primarily made up of the teaching staff of the Institute of Mechatronics and Vehicle Engineering, relying on the institute’s research and training activities. The most important areas of research activity are fuzzy logic, fuzzy inference and control systems, fuzzy reduction techniques. At the same time, its activity also extends to other fields of computational intelligence, such as neural networks, genetic algorithms and hybrid systems, as well as their applications. The primary goal of the research group is to conduct scientific research, to publish the achieved results at conferences and in scientific journal articles, on international forums. In terms of strengthening international relations, an important endeavor is contacting foreign universities, strengthening existing relations, and starting joint research. In order to support applied research, a priority area is the establishment and maintenance of long-term partnerships between researchers and the industrial partners involved in the applications, and the involvement of practical experts in the research work. The research group also considers student talent management, starting and supporting students on an academic career to be a highlighted task.
Leader:
Prof. Dr. Edit Ludányi-Laufer (Obuda University)
Members:
Dr. habil Béla András Frigyik (Obuda University)
Prof. Dr. Csaba Johanyák (Obuda University, John von Neumann University)
Zsombor Kovács (Obuda University)
Prof. Dr. Márta Takács (Obuda University, University of Novi Sad)
Dr. Ákos Odry (University of Szeged) – external member
Dr. Zoltán Papp (Subotica Tech) – external member
Prof. Dr. László Pokorádi – invited expert
Dr. András Nagy – invited grant expert
Tamás Neisz – expert assistant
Main Research Areas:
1) Fuzzy logic, fuzzy inference and control systems, fuzzy reduction techniques
2) Areas within the scope of computational intelligence (neural networks, genetic algorithms and hybrid systems)
3) Optimization based on computational intelligence
4) Risk assessment models based on computational intelligence
5) Engineering applications of computational intelligence
6) Other computational intelligence applications
Important international activities related to the Fuzzy Systems Research Group:
Symposium on Fuzzy-Based Engineering Systems (SzaFARi), organization of the international student conference
https://siva.bgk.uni-obuda.hu/SzaFARi/2025/en
International Mechatronical Student micro-Conference (IMSµC) organization of the international student conference:
https://siva.bgk.uni-obuda.hu/IMSmC
International Knowledge Transfer Experiment (KTE) project with the Montenegrin company MoDrone, An AI-baseD algorithm for optimized 3D dronE fLighT pAth planning, , SMART4ALL-872614 “DELTA: