The group’s research activities are concentrated on both basic research and applied research in several research areas. One of them is the application of intelligent systems and intelligent technologies in environmental protection. This integration of technology and environment provides (artificial) ‘environmental intelligence’ as a special case of a new generation communication environment in which applications and services are focused on the ‘user’, and the user is the environment itself in which a greater degree of protection and self-protection is achieved.

Within these researches, the first part of the research with special emphasis is artificial perception, observers of natural changes and / or phenomena, application of advanced methods of digital image analysis and understanding (cognitive vision) and integration of augmented reality in environmental observers. In doing so, special emphasis will be placed on modern methods of deep learning and data preparation for their learning process. This research is also partly related to the DATACROSS project, a project of the Science Center of Excellence for Data Science and Cooperative Systems (ACROSS).

The second part of the research relates to the application of artificial and computational intelligence in the field of modeling the purification capabilities of coastal waters. This research will be realised in cooperation with the Faculty of Civil Engineering Split.

The third part of the research, which is planned in the next period, refers to the field of application of cognitive vision and deep learning in mariculture in cooperation with the Institute of Oceanography and Fisheries Split. The fourth part of the research refers to research related to autonomous vessels and advanced algorithms for vessel guidance and control. This part of research will be realised in cooperation with the Faculty of Maritime Studies in Split.

The fifth part of the research is related to the development of intelligent systems related to recognizing the attention and focus of human operators in surveillance and monitoring systems. The sixts part of the research refers to the application of artificial intelligence in nutrition-oriented gastronomy through research on the expert method of selecting recipes by nutritional characteristics with the application of cognitive vision. A special place in most of these researches has the application of methods of machine learning, especially deep learning.