Projects

Unhealthy diets are associated with metabolic changes and increased risk of non-communicable diseases (NCDs). However, little is known about the dietary mechanisms that actually drive NCDs, and the tools used to collect dietary information are still inaccurate. There is also a lack of data among vulnerable groups, where NCDs are often over-represented. The EU-funded CoDiet project will address the knowledge gaps and develop a tool that will assess diet-induced NCD risk. Specifically,

• it will develop an enhanced method of dietary assessment using AI technologies.
• It will also develop a diet–NCD monitoring tool that will enable change in NCDs in response to diet to be monitored at the population level.
• The overall goal is to promote the uptake of an NCD-protective diet at a population level.

For more information, visit the project page here

Human-compatible AI with guarantees, the Horizon Europe project (“AutoFair”), seeks to address needs for trusted AI and user-in-the-loop tools and systems in a range of industry applications.

Artificial intelligence powers a growing number of systems today. This is why it’s important to make sure the AI algorithms work correctly. In this context, the EU-funded AutoFair project will focus on the issue of fairness. Specifically, it will deal with the design of explainable and transparent AI algorithms. AutoFair aims to improve the algorithms themselves while educating end users. It draws on knowledge from computer and data sciences, control theory, optimisation and other scientific disciplines, including ethics and law. Three case studies will be carried out to test the findings:

• on the automation of fair evaluation in recruitment,
• the elimination of gender inequality in advertising and
• the elimination of discrimination against bank clients.

For more information, visit the project page here

This research has been co-financed by the European Union (European Social Fund ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) – Research Funding Program:Thalis-DISFER

This research has been co-financed by the European Union (European Social Fund ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) – Research Funding Program:Aristeia-MMD

This research has been co-financed by the European Union (European Social Fund ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) – Research Funding Program:Aristeia-INCEPTION

The goal of NGHCS is to develop a comprehensive framework to simplify the development of mobile human-centered systems, as well as make them predictable and reliable. Our work has the following research thrusts:

• First, we develop techniques for dealing efficiently with dynamic unpredictable factors that such complex systems face, including dynamic workloads, unpredictable occurrence of events, real-time demands of applications, as well as user changes and urban dynamics
• Second, we will develop the foundations needed to meet the end-to-end timeliness and reliability demands for the range of distributed systems that we will consider by developing novel techniques at different layers of the distributed environment and studying the tradeoffs involved
• Third, we will develop general techniques to push computation and data storage as much as possible to the mobile devices, and to integrate participatory sensing and crowdsourcing techniques

The outcome of the proposed work is expected to have significant impact on a wide variety of distributed systems applications in domains as diverse as transportation systems, environmental systems, healthcare and emergency response.

For more information, visit the project page here