GEOMETRY AND NONLINEAR PHENOMENA SCIENTIFIC WORKSHOP 

The work of the scientific workshop covers several areas of mathematics and physics: 

  • Investigation and computer simulation of nonlinear dynamical systems. 
  • Modelling of supercontinuum light pulses 
  • Description of graph complexes of Kneser graphs, determination of their chromatic numbers. 
  • Investigation of the drawability of paralleloids and p-configurations. 
  • Fitting study for families of distributions. 

 

Chief: Attila Végh

Members: József Osztényi, Éva Osztényiné Krauczi, Tamás Ladics, Péter Nagy, Mihály Görbe 

Contact: vegh.attila@gamf.uni-neumann.hu 

Publications 

APPLIED COMPUTER SCIENCE SCIENTIFIC WORKSHOP 

The scientific workshop is active in several areas. We develop and experiment with swarm and group intelligence algorithms applicable to mobile robots. 

 In our multi-stage research, we investigated the impact of mobile robots and teaching methods introduced in programming education on the learning and motivation of novice programmers. This was a joint study with colleagues from the Higher Education Student Achievement Research Workshop. 

 We developed traffic micro-simulation software that is used to model traffic and support traffic management decisions in the city of Kecskemét. We also intend to use the micro-simulator for long-term traffic planning, and we are conducting joint research with the Applied Analysis and Geometry Science Workshop. 

 We are working on modelling smart grids and supporting decisions on their control. This is a joint research with the Signal and Image Processing Science Workshop. 

 We are developing data analysis and simulation techniques for different domains. We investigate the relationships between random parameters and their impact on risk indicators. Statistical procedures to fill in missing data will be developed. These are joint research projects with the Department of Differential Equations at the University of Technology and the Department of General Informatics at the University of Miskolc.  

Chief: Dr. Csaba Fábián 

Members: Dr. Alvarez Gil Rafael Pedro, Kálmán Bolla, Edit Gurka Dezsőné Csizmás, Dr. habil. Zsolt Csaba Johanyák, Dr. Tamás Kovács, Krisztián Medgyes, Dr. Róbert Pap-Szigeti, Dr. Attila Pásztor, László Göcs 

Prof. Dr. Tibor Vajnai was a member of the workshop. 

Contact: fabian.csaba@gamf.uni-neumann.hu 

Publications 

WORKSHOP ON STUDENT OUTCOMES IN HIGHER EDUCATION 

The main research areas of the workshop are: 

  •  measuring the cognitive and social competence of students starting their studies, 
  • predicting the risk of drop-out, 
  • developing and implementing drop-out prevention and remediation programmes, 
  • monitoring the development of competences, 
  • developing the pedagogical competences of professionals involved in higher education, 
  • developing the teaching methods of higher education teachers, 
  • development of methodological materials, 
  • developing and delivering courses on learning methodologies for student achievement,  
  • learning outcomes of dual and nondual students. 
Chief: Dr. Erika Török 

Members: Dr. Róbert Pap-Szigeti, Dr. Attila Pásztor, Dr. Tamás Fülöp, Tánczikné Dr. Varga Szilvia, Attila Brindza, Dorottya Antaliczné Nagy, Eliza Angeli, Ferenc Koszna  

Contact: torok.erika@gamf.uni-neumann.hu 

Publications 

RESEARCH WORKSHOP ON MECHANICAL AND LASER BEAM TECHNOLOGIES 

The youngest research line of the workshop deals with surface modification technologies and related interfacial phenomena. The recently built Diode Laser Centre, which has several unique tools in the field of laser beam (not only surface) machining, is a major reinforcement in this field. In parallel, the sector with the longest history of research is the one dealing with the formability of metallic materials. We are currently investigating practical and theoretical aspects of sheet metal forming using state-of-the-art deformation measurement techniques. Welding also has deep roots in this workshop that, complemented by the potential of laser beam technologies, is carrying out advanced research in joining techniques with direct industrial applications. 

Chief: Dr. Gábor J. Béres 

Members: Dr. Miklós Berczeli, Ferenc Hareancz, Gergely Juhász, Edit Johanyák, Ferenc Tajti, Dávid Kis, György Ledniczky, Kitti Klam  

External contributors: Dr. Zoltán Weltsch, Dr. Antal Lovas, Dr. Attila Farkas, Dr. József Danyi, Dr. Zsolt Lukács 

Contact: beres.gabor@gamf.uni-neumann.hu 

Publications 

MOTOR VEHICLES SCIENCE WORKSHOP 

The main research topics of the scientific workshop are: 

  •  integrated wheel module control, 
  • research into technologies for the recovery of organic materials from end-of-life vehicles and electrical waste, 
  • research on torsional vibrations and shock absorbers for internal combustion engines, 
  • electric and hybrid vehicles, energy management of hybrid powertrains 
Chief: Krisztián Kun 

Members: Dr. Bence Csák, Dr. Levente Balogh, Dr. Péter I. Kondor, Dr. Miklós Berczeli,  

External contributors: Dr. Zoltán Weltsch, Dr. Pál Lukács 

Contact: kun.krisztian@gamf.uni-neumann.hu 

Publications 

MANUFACTURING SCIENCE WORKSHOP 

One of the oldest research workshop in the university with many scientific areas: 

  • Determination of optimal machining parameters for high performance machining of special materials (composites, super alloys, etc.). 
  • Investigation and analysis of strategies to be applied in 3-axis and 5-axis machining. 
  • Optimization of process parameters for rapid prototyping processes. 
  • Deburring and polishing equipment design and investigation of these technologies. 

 

Chief: Dr. Zsolt Ferenc Kovács 

Members: Dr. Pál Boza, Adrián Bognár, Dr. János Kodácsy, Gábor Kónya, Dr. János Líska, Dr. Katalin Líska, István Miskolczi, Klaudia Papp, Roland Sándor, Norbert Szabó  

Contact: kovacs.zsolt@nje.hu 

Publications 

SIGNAL AND IMAGE PROCESSING SCIENTIFIC WORKSHOP 

Our research areas are: 

  • Image processing, 3D scene reconstruction, camera calibration. 
  • Biomedical signal processing: processing and automated evaluation of neurocardiological signals. 
  • Improving the efficiency of new generation electrical networks (Smart Grid) using algorithmic methods. Automatic segmentation of consumption data. 
  • Adaptive channel equalisation in wireless systems, unsupervised (blind) channel equalisation algorithms, equalisation based on minimum bit error strategy. 
  • Industrial automation and signal processing. Integration of industrial robot and computer vision, high-speed camera measurements in mechanical systems, simulation/implementation of neural controllers. 
Chief: Dr. István Pintér 

Members: Dr. Norbert Csík, Rajmund Drenyovszki, Gábor Kátai-Urbán, Ferenc Koszna, Dr. János Kósa, Dr. Lóránt Kovács, Dr. Zoltán Megyesi 

External contributors: Dr. Bence Csák, Zoltán Hegedűs  

Contact: pinter.istvan@gamf.uni-neumann.hu 

Publications 

LOGISTICS SYSTEMS SCIENTIFIC WORKSHOP 

The main objective of the Logistics Systems Science Workshop is to investigate the combined applicability of the LEAN approach and autonomous systems from a logistics, economic and communication perspective. 

Our research areas are:  

  • Comparative analysis of global/regional trends in LEAN and automation 
  • The applicability of autonomous systems in logistics 
  • The relationship between autonomous systems and LEAN 
  • Cost-benefit and return-on-investment analyses in a management approach when implementing autonomous systems and LEAN 
  • The role of communication in automation, sociological effects of automation 
Chief: Dr. Ákos Tóth 

Members: Dr. Erika Török, Dr. Adrienn Boldizsár, Dr. Péter Bajor, Dr. Zoltán Valentinyi, Dr. József Tóth, Stephan Skopp, Réka Boglárka Busa 

Contact: toth.akos@gamf.uni-neumann.hu 

Publication

POLYMER PROCESSING SCIENCE WORKSHOP 

The research activity of the Polymer Processing Science Workshop is connected to the development of thermoplastic polymer materials and production and recycling technologies. The main areas are polymer blends and composites (especially MMT and CNT nanocomposites); biopolymers (PLA, PBS). In terms of production technology, we deal with different technologies, such as:   

  • injection molding, 
  • 3D printing,     
  • extrusion and   
  • thermoforming.  

As a material testing procedure, we perform mechanical, thermoanalytical, and rheological procedures on various original and recycled polymers. We also deal with the rheology of melts, and the time-dependent properties of polymers and polymer composites. In addition, the microscopic examination of the completed nanocomposites is also important, which shows the compositional and surface properties of the finished material. After that, we examine the applicability of nanocomposites in the vehicle industry and other industries.   

Chief: Prof. Dr. Ferenc Ronkay 

Members: Attila Bata, Prof. Dr. Károly Belina, Gergely Tóth, Dr. Andrea Ádámné Major, Dr. Eszter Kókai, Dorottya Antaliczné Nagy, Pál Hansághy, Balázs Ádám, Dr. László Tóth, Ferenc Palásti, Dóra Terjék, Elek Kiss  

Contact: ronkay.ferenc@nje.hu 

Publications 

COMPUTATIONAL INTELLIGENCE RESEARCH LABORATORY 

CIRL is a research laboratory at the Department of Information Technology of the John von Neumann University that is dedicated to research related to artificial intelligence techniques, nature inspired optimization methods, fuzzy set theory based and neural networks based methods and their applications. 

Lead person: Prof. Dr. Zsolt Csaba Johanyák 

Members: Dr. Attila Pásztor, Dr. Rafael Pedro Alvarez Gil, Péter András Agg, László Göcs, Márk Kovács, Dr. Zoltán Subecz. 

External contributors: Dr. Zoltán Király, Prof. Dr. Szilveszter Kovács, Olga Papp, Sara Imene Boucetta, Dr. Annamária Koncz, Prof. Dr. László Pokorádi, Dr. habil. Edit Laufer 

Contact: johanyak.csaba@nje.hu 

Current projects: 

EFS – Efficient ensemble feature selection for machine learning from high-dimensional raw data 

NIDS – Development of a network intrusion detection module 

EOSDN – Energy consumption optimization in software defined networks 

FUEO – User experience optimization in mobile apps using a fuzzy approach