In collaboration with a consortium of 11 high-profile partners from all over Europe. WQeMS (or Copernicus Assisted Lake Water Quality Emergency Monitoring Service) is a Horizon 2020 EU-funded project, aiming to provide an operational Water Quality Emergency Monitoring Service to the water utilities industry in relation with the quality of the ‘water we drink’, focusing its activities on monitoring lakes valorized by the water utilities for the delivery of drinking water.
CONTROL4COVID (RESTART 2016-2020), 2020-2021
In collaboration with the KIOS Research and Innovation Center of Excellence team of the University of Cyprus. The project has received seed funding to develop and commercialize PandoraSeal, a secure intelligent ICT platform for managing epidemiological data and offer policy decision support to governments and other authorities. The PandoraSeal Platform will be using dynamic learning of parameters of epidemiological mathematical models, in combination with IoT data, aiming to build useful knowledge and support the authorities and the industry in cases similar to the COVID-19 pandemic, to make more informed decisions about measures to implement using forecasts and estimations. The provided service is expected to be adopted in the tourism, retail, construction and transportation sectors, where the results of epidemic cases create significant negative impacts.
In collaboration with an international consortium of 23 high-profile partners, including universities, research centers, NGOs, emergency responders, water utilities and other companies. PathoCERT (or Pathogen Contamination Emergency Response Technologies) is a Horizon 2020 EU-funded project, aiming to develop emergency response technologies, tools and guidelines for pathogen contaminations and strengthen the coordination capability of first responders in areas with high risk of contamination via water.
NanoPro (RESTART 2016-2020), 2020-2022
In collaboration with the AmaDema (AMDM Ltd), the Cyprus University of Technology (CUT) and the Cyprus International Institute of Management (CIIM). This is an INNOVATE project, aiming to scale up the production of AmaDema's NanoWeld, which is a patented technology (both as a material, as well as a processing technology). The goal is to reach TRL 8 and facilitate the wider adoption of the technology by the global market, as well as matching the currently expressed demands from international customers. PHOEBE will mainly get involved the design and implementation of a novel feedback control system with online adaptation and learning capabilities of non-linear process dynamics, for the newly developed machine to control the temperature, pressure and speed of the line.
In collaboration with a consortium of 12 other high-profile partners. The goal is to design and develop a one-stop Cognitive Decision Support System essential to entities that need to "make sense of the maritime environment" via intelligent collection, interpretation and meaningful presentation of maritime data.
In collaboration with the KIOS team and CSTI. The goal is to develop and evaluate an innovative, low-cost, intelligent software/hardware solution designed for building operators to better monitor and control their building systems and reduce their operational expenses due to systems' inefficiencies or previously undetected events (i.e. water leakages, energy losses), based on state-of-the-art research-based data analytics, machine learning and artificial intelligence methods.
In collaboration with a consortium of 9 other high-profile partners. The goal is to integrate the PHOEBE IoT platform in the control center of the Cyprus Trans-mission System Operator, to help take advantage of measurements from newly installed IoT devices in the grid.
In collaboration with AmaDema (AMDM Ltd). The goal is to design a novel, intelligent, industrial machine for enhancing the manufacturing process, as well as the quality control system of NanoWeld (part of AmaDema portfolio of products) Carbon Fibre technical fabrics processing.
Domognostics (ERC Proof-of-Concept), 2017-2018
In collaboration with the ERC Advanced Grant recipient Prof. Marios Polycarpou, Director of the KIOS Research Center, University of Cyprus.
The goal is to design a novel solution for monitoring building automation systems, detecting and diagnosing any component faults and/or unexpected events, and providing remedial reconfiguration actions, aiming at improving operational efficiency.