22 February 2023 – 5.30 PM
Politecnico di Torino – Maxwell Room
Here’s the 1st PitchD – the PhD’s pitch. Our PhD IEEE Student Members explain to students, colleagues and professors their research in-presence. Please, remember that registration is required to attend the event.
Wearable sensors and artificial intelligence for monitoring movement disorders
Mr. Luigi Borzì
Dept. of Automation and Control Engineering (DAUIN), Politecnico di Torino
Movement disorders, such as Parkinson’s disease, involve a wide variety of motor symptoms. Wearable motion sensors represent minimally invasive solutions to accurately record human movement. When combined with advanced artificial intelligence techniques such as machine and deep learning, they have the potential to revolutionize the disease management paradigm. This talk will discuss the current challenges and opportunities of wearable technology and machine learning for monitoring Parkinson’s disease. Furthermore, computer programs capable of automatically assessing motor performance will be presented and described. Finally, the current limitations of such technology will be discussed.
Exploring the World of Haptics in eXtended Reality: The Future of Touch Feedback Technology
Mr. Davide Calandra
Dept. of Automation and Control Engineering (DAUIN), Politecnico di Torino
This talk will dive into the exciting field of haptic technology in eXtended Reality (XR) and its potential to revolutionize the way we interact with digital experiences. From wearable devices to VR/AR applications, haptics is poised to bring a new level of immersion and realism to the virtual world. This presentation will provide an overview of some recent works in the field of haptic technology in XR, explore the different types of haptic feedback available, and examine some of the challenges and opportunities ahead. With its ability to deliver tangible touch sensations, haptics is shaping up to be the next big thing in XR, and this talk will provide a comprehensive overview of this emerging field.
A decision-making framework for blockchain adoption
Mr. Vittorio Capocasale
Dept. of Automation and Control Engineering (DAUIN), Politecnico di Torino
Blockchain technology is gaining the interest of the academy, companies, and institutions. Nonetheless, the path toward blockchain adoption is not straightforward, as blockchain is a complex technology that requires revisiting the standard way of addressing problems and tackling them from a decentralized perspective. Thus, decision-makers adopt blockchain technology for the wrong reasons or mistakenly prefer it to more suitable ones. This speech introduces blockchain technology from a high-level perspective and discusses a decision-making framework for assessing blockchain’s suitability. The framework abstracts the complexity of blockchain technology and focuses on the relevant decision drivers. The framework helps decision-makers understand when blockchain is applicable, valuable, and preferable to other solutions. The framework can be used with no prior blockchain knowledge, becoming an effective tool for decision-makers that do not have the skills or the time to learn the complex blockchain technology.
