The Intelligent Systems Laboratory (ISL) is concerned with the development of computational models and their effective implementation, aiming at knowledge discovering, inference generation and information retrieval. In addition, it can implement every model in various software and hardware technologies. The research’s core is carried out in the laboratory, is at the intersection of the areas of Computer Science, Mathematics and Statistics, and focused on applications in medicine, industry, social sciences, and economics.
Specifically, the research interests of ISL’s researchers include new algorithms for training Artificial Neural Networks and Machine Learning, the study of new Evolutionary Algorithms, Development of Clustering Algorithms, Parallel and Distributed computations, Knowledge Mining from Big Data, Application in Biomedical Technology and especially in Technology of Images and Multimedia, Text and Image applications in the Internet, bio-signal and data processing from sensors at the Internet of Things, Embedded Computational Systems and applications in the prevention, care, nursing and support of patients via wearable devices. Also, in addition to software, the laboratory is specialized in the designing of specific hardware for the aforementioned applications (with further application to the safety and the security of the systems) using existing technologies as well as innovative new hardware technologies that are developed by the research staff of the laboratory.