Major research areas
We cover a broad spectrum of research themes with the goal of making artificial intelligence (AI) an integral part of our daily lives.
We develop fundamental AI techniques and apply them to business and commerce, bioinformatics, e-health, sport, defence, environment, precision agriculture, energy, logistics and multimedia.
Our research focuses on aggregation operators in AI, fuzzy systems and image processing. Fuzzy systems employ the concept of partial truth to mimic human decision-making. We build computer systems that help people make decisions from fragmented evidence and explain the logic behind those decisions.
We also focus on processing images, videos and other data to help develop autonomous systems that rely on image sensors, such as robots, rovers and drones.
Data analytics is about discovering patterns and properties of big and small data and developing data-driven models. Our research focuses on signal processing, smart sensing, anomaly detection, and aspects of information security and privacy.
Algorithms and optimisation
Our research covers industrial models and solutions based on discrete and continuous numerical optimisation, global optimisation, constraint satisfaction, models on graphs and data analysis methods.
We also cover development of powerful and efficient algorithms, including parallel programming and graphic processing units. We provide fundamental techniques at the core of many AI algorithms, including machine learning, clustering and regression.