Applied IT technology
applied artificial intelligence • code quality • maintainable development • smart data collection • smart networks
Ekler Péter
associate professor
Q.B226.
(+36) 1 463-3702
Charaf Hassan
full professor, head of department
Q.B206.
(+36) 1 463-3969
A kutatócsoport tagjai:
Ekler Péter
associate professor
Charaf Hassan
full professor, head of department
Vajk István
full professor
Csorba Kristóf
associate professor
Kővári Bence András
associate professor
Kovács Tibor
associate professor
Dunaev Dmitriy
associate professor
Imre Gábor
assistant lecturer
Grad-Gyenge László György
assistant research fellow
Ács Judit
assistant lecturer
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