Introduction
The doctoral school's research is related to the field of computer science within applied engineering sciences. Its topics include applied computer science, production informatics, measurement and control information systems, material flow systems, and logistics informatics.
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Branch of science: engineering
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Discipline: computer science
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Head of doctoral school: Prof. Dr. László Kovács, full professor
See the list of current thesis topics here.
Topic areas and topic groups
Applied Computer Science
Theory and Application of Algorithms
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Concept lattices and lattice-valued functions
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Algorithmic generation of box lattices
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Tolerance-induced tree structures of lattices
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Rough sets
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Residual maps and Lie properties in associative algebras
Data and Knowledge Systems
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Machine learning, data analysis
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Semantic data modelling based on concept lattices, machine learning methods based on pattern matching
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Optimization of MLP and RNN lattices
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Text analysis
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Analysis of non-standard neural network architectures
Intelligent Soft Computing
- Fuzzy rule interpolation (FRI) methods, reinforcement learning
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Etologic modelling of human-machine interaction, etorobotics
Computer Graphics and Geometry
- Curve and surface modelling procedures
- Description of curves and surfaces, examination of their properties, shape modification
Computer Supported Production Systems
Computer Integrated Production Systems
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Production workflow optimization
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Scheduling optimization
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Intelligent production control
Automatization and Control Systems
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Computer-aided design, modeling and simulation methods of control systems
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Image processing-based analysis
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Intelligent measurement procedures
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Real-time operation of industrial communication systems and issues of transmission security
Logistic Systems
Design and Planning of Logistic Systems
Operation Control of Logistic Systems
The two topic groups involve the following research fields:
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Material and information flow systems, logistics
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Automatic identification tasks and the implementation of intelligent logistics systems
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Application of IoT (Internet of Things) solutions in logistics
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Optimization of logistics systems
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Application of simulation methods in the design of Industry 4.0 and Logistics 4.0 systems
Research infrastructure
The infrastructure to support the research areas of the doctoral school is provided by the following laboratories:
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Artificial intelligence laboratory
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Distributed systems laboratory
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Software systems laboratory
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Etorobotics laboratory
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Logistic process simulation laboratory
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Logistics 4.0 laboratory
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Virtual logistics laboratory
Five additional thematic laboratories cover the research infrastructure for the following research areas:
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Autonomous vehicles and drones
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Industrial robotics and computer vision
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Embedded systems
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Manufacturing and process automation
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Wired and wireless industrial communication systems
József Hatvany
(1926-1987)
He was a world-renowned expert in applied informatics, particularly in computer-integrated manufacturing, and an internationally recognized researcher in computer-aided design (CAD) and numerically controlled machine tools. His name is associated with the realization of multi-dimensional machine tool control.