“Communications meet Machine Learning for Industry 5.0”

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The Internet of Things (IoT) is creating a new structure of awareness – a cybernetic one – upon physical processes. Industries of different kinds are expected to join soon this revolution, leading to the so-called Factories of the Future, also known as Industry 5.0. In this talk, (i) we will review the prominent industrial communication standards to date, discussing the rationale behind moving from wired to wireless communications. (ii) We will discuss recent research on technologies & techniques for Industry 5.0. We will first consider millimeter Wave technology to provide reliable wireless network service within factories, where links may experience rapid and temporary fluctuations of the received signal power due to dynamic blockers, such as humans and robots moving in the environment. We will then address the issue of reliability in Industrial IoT (IIoT) in case of missing sensors measurements due to network or hardware problems. We propose to support the fault detection and classification modules, which are the two critical components of a monitoring system for IIoT, with a generative AI model. We will further discuss a framework to capture the semantic knowledge inherent in cyber-physical systems to minimize the use of explicit communication, where all data are acquired with certain goals in mind, like controlling an industrial process. (iii) We will discuss a possible way to perform system-level analysis targeting Ultra-Reliable and Low-Latency Communication (URLLC) systems, looking into trade-offs of radio spectrum vs infrastructure deployment, and inter-operator sharing of spectrum & network infrastructure. (iv) Finally we will look into the main emerging trends of 6G related to Industry 5.0, discussing pros/cons and open research directions of cutting-edge technologies such as Extreme URLLC, Digital Twin, Unmanned Vehicles, and Reconfigurable Intelligent Surfaces.



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  • Date: 31 May 2024
  • Time: 11:00 AM to 12:00 PM
  • All times are (UTC-05:00) Central Time (US & Canada)
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  • Starts 05 May 2024 08:00 PM
  • Ends 29 May 2024 05:00 PM
  • All times are (UTC-05:00) Central Time (US & Canada)
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PROF NICOLA

Topic:

“Communications meet Machine Learning for Industry 5.0”

The Internet of Things (IoT) is creating a new structure of awareness – a cybernetic one – upon physical processes. Industries of different kinds are expected to join soon this revolution, leading to the so-called Factories of the Future, also known as Industry 5.0. In this talk, (i) we will review the prominent industrial  communication standards to date, discussing the rationale behind moving from wired to wireless communications. (ii) We will discuss recent research on technologies & techniques for Industry 5.0. We will first consider millimeter Wave technology to provide reliable wireless network service within factories, where links may experience rapid and temporary fluctuations of the received signal power due to dynamic blockers, such as humans and robots moving in the environment. We will then address the issue of reliability in Industrial IoT (IIoT) in case of missing sensor measurements due to network or hardware problems. We propose to support the fault detection and classification modules, which are the two critical components of a monitoring system for IIoT, with a generative AI model. We will further discuss a framework to capture the semantic knowledge inherent in cyber-physical systems to minimize the use of explicit communication, where all data are acquired with certain goals in mind, like controlling an industrial process. (iii) We will discuss a possible way to perform system-level analysis targeting Ultra-Reliable and Low-Latency Communication (URLLC) systems, looking into trade-offs of radio spectrum vs infrastructure deployment, and inter-operator sharing of spectrum & network infrastructure. (iv) Finally we will look into the main emerging trends of 6G related to Industry 5.0, discussing pros/cons and open research directions of cutting-edge technologies such as Extreme URLLC, Digital Twin, Unmanned Vehicles, and Reconfigurable Intelligent Surfaces.

Biography:

Dr. Nicola Marchetti is an Associate Professor in Wireless Communications at Trinity College Dublin, Republic of Ireland, where he leads the Wireless Engineering and Complexity Science Lab (WhyCOM). He is an IEEE Communications Society Distinguished Lecturer, an IEEE Senior Member, and a Fellow of Trinity College Dublin. He received his PhD in Wireless Communications from Aalborg University, Denmark in 2007,  his MSc in Electronic Engineering from the University of Ferrara, Italy in 2003, and also MSc in Mathematics from Aalborg University in 2010. He has authored more than 190 journals and conference papers, 2 books, and 9 book chapters, holds 4 patents, and received 4 best paper awards. His research interests include AI and ML for Future Networks, Bio-Enabled Networks, Engineering and Science of Complex Networks, MAC Protocols and Radio Resource Management, Signal Processing for Communications, and Quantum Communications and Networks. He serves as Technical Editor for IEEE Network and IEEE Wireless Communication, and has served as an Associate Editor for the IEEE Internet of Things Journal and the EURASIP Journal on Wireless Communications and Networking. He has an extensive experience in delivering research lectures across the globe, which to date include 4 keynotes and 8 tutorials in international conferences, 20 invited talks, and 8 international PhD courses.

Address:Dublin, Ireland