Project description
Striving for research excellence for artificial intelligence in IoT
With billions of physical devices connected to the internet, the advantages of the Internet of Things (IoT) for most sectors and organisations cannot be underestimated. In fact, they are driving many to fund and encourage research into this area. However, there is a risk that without the required cooperation and efforts, the EU and its members will be left behind in this technological sector. The EU-funded AIoTwin project offers a solution by introducing a cooperative effort between leading European researchers, universities and institutions. Through this effort, they plan to increase the research excellence of UNIZG-FER and other European universities in the field of IoT, while also educating new researchers.
Objective
AIoTwin is a twinning coordination action for spreading excellence in Artificial Intelligence of Things, bringing together researchers from three European universities (UNIZG-FER, TUW and TUB) and one research institute (RISE). The goal is to significantly strengthen the scientific excellence and innovation capacity of UNIZG-FER in the area of the Internet of Things through knowledge transfer and strategic networking activities between UNIZG-FER researchers and world-class scientists from leading EU institutions. This will be achieved through an elaborate work plan and a comprehensive set of activities that will increase the mobility of researchers and improve the scientific and innovative capacities as well as the attractiveness and visibility of UNIZG-FER in the European Research Area. AIoTwin identifies four research domains relevant to AIoT: 1) Edge Computing and Orchestration, 2) Federated and Decentralised Machine Learning, 3) AI for Robust and Energy-Efficient IoT, and 4) Distributed Ledger Technology (DLT) for IoT, which align well with current research directions leading to the new evolutionary phase of next-generation IoT. The knowledge gained through the networking activities in the RDs will be the driving force for conducting a joint research project on data-driven orchestration middleware for energy-efficient IoT supporting ML workflows. The middleware will be tested on a selected use case using the consortium's shared infrastructure. In addition, the project will strengthen the research management and administrative skills of UNIZG-FER staff.
AIoTwin provides a unique opportunity for UNIZG-FER researchers to work closely with leading international researchers to develop new ideas, foster creativity, and strengthen the impact of all participating partners on an international level. It will contribute to strategically reduce disparities between Croatia and other EU Member States participating in the Horizon Europe programme.
Programme(s)
Funding Scheme
HORIZON-AG - HORIZON Action Grant Budget-BasedCoordinator
10000 Zagreb
Croatia