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Our research is focused on communication networks and protocols, cloud architectures and services, cloud and network security, virtualization, ICT sustainability, computer supported learning systems and the use of agile methodologies. We have researched the orchestration of complex virtual environments, container orchestration, examined SDN and NFV and their use in cloud environments, and developed our own virtual cloud laboratory. Our latest project focuses on carrier-grade cloud solutions for large telco providers.
Research areas:
Systems and networks
The laboratory is focused on the computational methods for modelling, simulation and analysis of fundamentally different system families. We are interested in computational approaches in systems and synthetic biology, the analysis of coordinated behaviour in biological systems, the design of quantum-dot cellular automata processing structures, and the understanding of human behaviour through the analysis of mobile sensing data. The laboratory therefore consists of four groups, the Computational Biology Group, the Collective Behaviour Group, the Quantum-dot Cellular Automata group and the Mobile Computing Group.
Research areas:
Computational Biology
Systems and networks
Our main research topics include development of adaptive algorithms in areas of artificial neural networks, data clustering, data mining, information-theoretic modelling and reinforcement learning, and design of computer systems, ranging from high performance computing to on-chip designs. We are mainly focused on problems where the lack of theoretical knowledge prevents exact solutions and where special software and hardware are demanded for efficient processing. We are also involved in digital logic design of arithmetic circuits, processing on GPUs, and smart wireless sensor networks. More recently, the laboratory is engaged also in experimental research in the field of wireless networks, radio-based localisation and software-defined radio.
Research areas:
Systems and networks
Machine learning and artificial intelligence
We focus on cryptography and computer security, discrete mathematics, coding theory and statistical design. We have extensive experience in applied cryptography, especially public key cryptosystems (elliptic curve cryptosystems), cryptographic protocols (AKC) and their implementations in restricted environments, such as smart cards (including HSM and FPGA). We also study algebraic combinatorics (distance-regular graphs, association schemes, finite geometries, codes, finite fields and the like), probability and statistics.
Research areas:
Systems and networks
Theoretical computer science and mathematical methods
The prime area of research interest is efficient data handling in distributed pervasive environments, which store terabytes of data that present a challenge in at least two areas: the efficient storage and handling of the data. The distributed environment is inherently capable of parallel processing and requires a proper data and work distribution. Our research is concentrated on three areas: unstructured text handling, data deduplication and on-line streaming data processing. We are also active in the area of Computer Science Education.
Research areas:
Systems and networks
Theoretical computer science and mathematical methods
The laboratory focuses on advanced (lightweight) communications (e.g. the Internet of Things), security, privacy, e-business, and human factor modelling. Our research devotes particular attention to the analysis and design of advanced systems (from PKI to critical infrastructures), cryptographic protocols, advanced security and privacy analytics (e.g., big data methods for searching for precursory signals), and the quantitative treatment of the human factor. We have patented lightweight cryptographic protocols and developed practical (industry relevant) food supply chain management solutions based on RFIDs.
Research areas:
Systems and networks
Software engineering and informatics
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