The training and research programme of the Doctoral School of Information Science and Technology is open to a wide field of information science and of its technical applications. Its topics flexibly cover the constantly changing training and research demands. The research in its scientific workshops is of international level. The research is controlled by internationally recognized and highly appreciated professors.
-
Artificial intelligence (responsible instructor: Katalin Hangos (DSc), coordinator: Ágnes Vathy-Fogarassy): development of new algorithms and methodologies in the field of machine learning (reinforcement learning, supervised learning, unsupervised learning). Theoretical research related to training artificial neural networks. Development of natural language processing methods and algorithms. Adaptation of the developed new methods and algorithms to practical domains (e.g., healthcare, energy, vehicle dynamics, Industry 4.0).
- Digital reality (responsible instructor: Péter Baranyi (DSc), Cecília Sik-Lanyi (DSc))
- Discrete mathematics and optimization (responsible instructor: György Dósa (DSc), Zsolt Tuza (DSc)): structural and extremal study of discrete mathematical models, mainly graphs and hipergraphs, study of the algorithmic complexity of combinatorial problems, study of approximability of discrete optimization, study of the competitive ratio of on-line scheduling.
-
Dynamic systems and control (responsible instructor: Katalin Hangos (DSc), Ferenc Hartung (DSc), Attila Magyar (DSc), Mihály Pituk (DSc)): intelligent diagnosis of complex systems, state and parameter estimation of nonlinear stochastic systems, optimal integration of renewable energy sources into the electrical grid. Developing new theoretical and numerical methods motivated primarily by mathematical models describing biological processes and neural networks, their applications to practical problems.
-
Image and signal processing (responsible instructor: Cecília Sik-Lanyi (DSc), Zoltán Kató (DSc), Gyula Simon (DSc), coordinator: László Czúni): new efficient methods in image retrieval, in object recognition in video analysis.
-
Medical and health informatics (responsible instructor: Ferenc Bari (DSc), coordinator: Zoltán Juhász (PhD), István Vassányi (PhD)): diagnostics and modelling studies of brain and cardiovascular systems, analysis and synthesis of food input regarding many components, development of intelligent informatics systems containing remote diagnostics and therapical units.