Research fields:

Applied IT technology

applied artificial intelligence • code quality • maintainable development • smart data collection • smart networks

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Ekler Péter
associate professor
Q.B226.
(+36) 1 463-3702
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Charaf Hassan
full professor, head of department
Q.B206.
(+36) 1 463-3969
A kutatócsoport tagjai:
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Ekler Péter
associate professor
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Charaf Hassan
full professor, head of department
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Vajk István
full professor
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Csorba Kristóf
associate professor
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Kővári Bence András
associate professor
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Kovács Tibor
associate professor
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Dunaev Dmitriy
associate professor
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Imre Gábor
assistant lecturer
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Grad-Gyenge László György
assistant research fellow
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Ács Judit
assistant lecturer
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Activity of the research group:

The Applied Computer Science group's research interests include software development methods, efficient and maintainable development techniques, and testing. Other research areas include scalable software architectures and environments, and applied artificial intelligence, machine learning and big data, and business intelligence solutions. This is complemented by the area of smart data collection, which is of particular importance for the design and implementation of large-scale systems.

Recent results:

TODO

Recent projects:

MI Nemzeti Labor • Autonóm Nemzeti Labor • TKP

International relations:

University of Dresden • University of Helsinki

Industrial partners:

Sagemcom • Nokia
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