The Institute of Informatics (IISAS) carries out excellent research in accordance with the current trends in Applied Informatics, Information Technologies, Cybernetics and Microelectronics. The research is conducted with an excellent record in solving European and national research projects as well as R&D in cooperation with IT industry. The most notable is our engagements within the European research space for the long period from FP4 to FP7 and currently H2020 programs with the focus on transfer research results into practice. The Institute has been for a long term involved in building a strategic pan-European infrastructure for distributed and high-performance computing (HPC), through Grid to Cloud computing. It has been active also in Information and Knowledge Technologies (IKT) and Artificial Intelligence (AI) research and development. The main research activities of the Department of Parallel and Distributed Information Processing (PDIP) include: 1) HPC and distributed computing included design, development and porting large-scale applications; 2) Information and Knowledge-oriented Technologies (IKT group) included Artificial Intelligence (AI), Machine Learning, Deep Learning, and Natural Language Processing, Big Data processing, information systems, data and knowledge technologies. Our research interest is also towards (cyber-)security, mobile and communication technologies as well as multi-agent systems.
Our organization offers innovative and experimental services, which are closely-related to our current research in applied soft computing (SC). SC constructs computationally intelligent methods by combining edge technologies such as artificial neural networks (NN), machine learning (ML), deep learning (DL), as well as optimization, fuzzy and probabilistic approaches to solve real-life problems. The aim is to tolerance imprecision, uncertainty, and approximation to achieve effectiveness and low cost of solutions. When today data has large-scale potential with Volume, Velocity, Variety and Veracity characteristics, the wider collaboration with scalable data preprocessing and high-performance computing is practical to face challenges in many domains. However, all of these advanced technologies do not have to be always coupled together, but the alliance is essential for complex solutions towards daily production.
Ms. Giang Nguyen Senior researcher