Projects KIOS

“Critical infrastructure systems provide the lifeline that physically ties communities and facilitates quality of life and economic growth. When critical infrastructures fail, the consequences may be tremendous, in view of societal, health and economic aspects.” FAULT-ADAPTIVE is a pioneering research initiative, aimed at designing and analyzing “smart” algorithms for real-time data processing, capable of improving […]

The problem of apparent water losses within urban drinking-water distribution systems (UDWDS) is exacerbated in water-scarce countries, including countries such as Cyprus. Previous work has been instrumental in formulating predictive models of pipe failure (breakage and leaking) as a means to minimize water losses in Urban Drinking-Water Distribution Systems (UDWDS).  Pipe repairs due to deterioration/failure

The quest for advancement in healthcare and ecology, all key aspects of improving the quality of life, becomes heavily dependent on high-performance, real-time computation systems. Such systems are necessary to compute extremely complicated algorithms used by biologists and doctors worldwide. The application of computer technology in the fields of molecular biology and bioinformatics, and modelling

Over the recent years, research in Wireless Sensor Networks (WSNs) has gained great momentum mainly because of the potential advantages that this new technology provides. Sensor nodes can be deployed inside a phenomenon to provide in situ, real-time data about the state of the environment, thus sensor networks can provide an interface between the physical

The WiseStorage project aims to develop an innovative web-based solution to optimize the operation of Battery Energy Storage Systems (BESS) installed in buildings and maximize the prosumers’ profit. A remarkable expansion of Battery Energy Storage Systems (BESS) is expected in smart grids as a way to compensate Renewable Energy Sources (RES) variability and achieve the

The Innovation Action project “EnerMan” introduces an energy sustainability management system in order to achieve a holistic and data-based view of the energy efficiency, energy use and consumption within factories. Industrial production in Europe consumes large amounts of energy (27.8% of the total energy consumption in Germany, 21% in France) and therefore constitutes a key

The “ARTION” EU project aims to develop a world class network for knowledge sharing in the area of Artificial Intelligence (AI) for disaster management. The network will promote the development and use of Artificial Intelligence tools that can help first responders to manage disasters, such as forest fires, floods and earthquakes. Natural disasters threaten millions

The C-AVOID project focuses on Connected – Autonomous – Vehicles Orchestrated with Intelligent Decisions (C-AVOID) and aims at unveiling the safety potentials provided by the next-generation of cellular networks (5G) in the automotive sector. Modern vehicles on-board have several new driver assistance mechanisms and, soon, they will be able to substitute humans in all basic

The project OneNet aims at creating the conditions for a new generation of grid services able to fully exploit demand response, storage and distributed generation while creating fair, transparent and open conditions for the consumer. These needs are more profound today, as the electrical grid is moving from being a fully centralized to a highly

Developing of technologies for detecting and managing pathogen contamination events during emergency response situations During emergency response operations, first responders are at risk of being exposed to dangerous pathogens (such as norovirus, e. coli and v. cholerae) through skin contact, ingestion or inhalation. Such pathogens pose a significant risk of illness, disease or even death.

The aim of this fellowship is to address the problem of designing control schemes for thermostatic loads to provide effective, secure and efficient ancillary support to existing frequency mechanisms in the power network. The penetration of renewable sources of energy in power networks is expected to grow over the next years, motivated by environmental concerns.

The main objective of the “CybPhys” Project is to upgrade undergraduate and postgraduate-level curricula and study programs in the Belarusian and Ukrainian academic institutions in the area of Cyber-Physical Systems modelling and simulation according to the Bologna practices. The “CybPhys” project aims to introduce novel curricula in practical-oriented modelling and simulation of Cyber Physical Systems

Currently, the majority of first responder authorities seeking to introduce RPAS into their operations are faced with the challenge of processing a deluge of collected data reliably and efficiently and are thus relying on snapshots to inform specific emergency situations. To address this challenge, the “AIDERS” project will develop online machine learning algorithms to help