The Department's main areas of research are:
- Algorithms, Computational Complexity and Quantum Computing
- Artificial Intelligence, Knowledge Representation and Mining, Automated Reasoning
- Computer Architectures and Computer Networks
- Computer Vision and Computer Graphics
- Cryptography and Security
- Data Management: databases, data and process mining, big data, and information retrieval
- Data Science and Complex Systems
- Discrete Mathematics and Graph Theory
- Distributed Systems
- Formal Methods and Model Checking
- Human Computer Interaction and Virtual Reality
- Machine learning
- Software Engineering and Programming Languages
- Robotics and Robotic Networking
In recent years, the Department has significantly increased its output in transdisciplinary research areas, including:
- Affective Computing and Neurophysiology
- Artificial Intelligence and Green Energy
- Artificial Intelligence and Health, Network Medicine
- Artificial Intelligence for Finance, Management and Business
- Artificial Intelligence in Education
- Bioinformatics
- Data Science, Network Science & Society

