• As Artificial Intelligence (AI) becomes a more prevalent technology in many medical measurement applications, some directly or indirectly affecting human safety, the issue of making trustworthy decisions based on AI prediction becomes important, and in some cases vital. In this talk, we will see how uncertainty can be quantified in AI-assisted medical measurements, specifically Machine Learning regression and classification, and how it can be used to catch less-trustworthy predictions, leading to more accurate and trustworthy systems that can be deployed in the real world.

  • The term Assistive Technology (AT) identifies a wide range of solutions and services to improve the life quality of frail people, by supporting them in performing everyday tasks, access to public services, participate in education and social life, as well as performing well at job. Assistive technologies can play a fundamental role in promoting independence, self-esteem and social integration of frail persons, by supporting an Active and Healthy Ageing and Well Being. This talk would like to focus on the strategic role of sensors and (wearable) sensing systems in the framework of AT, e.g. from indoor localization to health monitoring and the assessment of users habits.

  • The next generation of intelligent sensing is shifting towards ultra-low-power, AI-driven solutions that enable continuous monitoring without compromising energy efficiency. This keynote explores recent advances in wearable and non-contact sensing technologies powered by Edge AI and neuromorphic computing. We will discuss how bio-inspired algorithms, efficient hardware-software co-design, and multimodal sensor fusion are unlocking new capabilities in physiological monitoring, positioning, and ambient intelligence. The talk will showcase novel sensing paradigms that minimize energy consumption while enhancing real-time perception and decision-making. These innovations have broad implications for healthcare, smart environments, and autonomous systems, paving the way for self-sustaining, intelligent sensing solutions.