Research
The Faculty's research areas at the crossroads of computer science and social sciences.
Research areas
Artificial intelligence and data science
Machine learning, computer vision and natural language processing with an emphasis on socially responsible applications.
Robotics and autonomous systems
Research with humanoid robots and robot dogs — human-robot interaction in the real world.
Information security
Protection of data and systems, and ethical questions of privacy in the digital society.
Technology and society
Interdisciplinary research into the impact of digital technologies on people, communities and values.
Research infrastructure
The Faculty has a robotics and artificial intelligence laboratory equipped with a humanoid robot and latest-generation robot dogs, as well as an in-house data centre with GPU servers for demanding AI research.
Students join research projects from their first year, and the Faculty actively develops cooperation with industry and international partners through the Erasmus+ and CEEPUS programmes.