The project aims to identify outstanding issues in the adoption and integration of IoT systems and provide advanced solutions in terms of efficiency, reliability, scalability, interoperability and security. The developed methods, models and algorithms will be demonstrated experimentally using a use case with an impact in increasing the quality of life, such as intelligent environmental monitoring. In this sense, the project team will develop IoT devices and an IoT platform, based on a SIOC (Smart Integrated Operation and Control) platform, which has been developed within the previous core program.
The project aims to create an architecture of an automatic monitoring platform, using AI/ML technologies, to create a dynamic system for establishing the reputation of each .ro domain. Based on the mentioned architecture, an experimental model will be developed that will act on the anonymized data set from the RoTLD domain register. The prototype developed within the project will be used to detect and monitor malicious domains registered in the "black list" of the .ro Registry database.
The project proposes the introduction of a new standard of interoperability and communication in the issue of identity management and new methods of securing existing cyber spaces.
The project aims at investigating the latest Artificial Intelligence (AI) techniques, with the development of applications in some high-impact fields, such as the biomedical domain as well as the field of artificial vision for cognitive agents, respectively.
The project aimed to explore the intrinsic characteristics of the Metaverse concept, analyze its most important dimensions and experiment with the most important existing technologies, in order to develop innovative theoretical and applied results, in the form of studies, technical reports, theoretical and experimental models, with an emphasis on proprietary architectural solutions for applications in the field of public services and education.
The main goal is the design and implementation of a complex system of software-assisted hardware equipment capable of covering (in a portable / field form) the vast majority of the needs generated by the main sectors of digital crime: computer forensics, mobile device forensics, forensics of data transiting a computer network, forensic investigation of data stored in cloud structures, forensic investigation of encrypted flows, data and / or devices, forensic investigation of wireless flows and equipment, forensic investigation of GSM flows and equipment, and forensic investigation of cryptocurrency transactions.
The "Intelligent system for predicting energy consumption in buildings (PRECONERG)" project aims to develop, test and validate an energy consumption prediction system using advanced prediction techniques with the help of energy consumption prediction models based on artificial intelligence.