The Artificial Intelligence of Things (AIoT) offers great potential for real-time data collection from various devices, benefiting numerous applications. However, deploying AIoT in rural and extreme environments—like remote areas, deserts, and mountains—faces specific challenges like limited connectivity, data integration, energy efficiency, and the impact of environmental conditions.
This talk provides an overview of the research performed at the GRC Lab on leveraging TinyML and IoT technologies in challenging environments. It highlights innovative solutions developed for environmental intelligence, using AIoT to understand and address human environmental impacts. The presentation will detail how edge computing and low-power wide area networks (LPWAN) are employed to tackle connectivity and energy constraints in these remote settings. Particular emphasis will be given to the application of TinyML, which enables efficient, on-device machine learning, enhancing the capabilities of AIoT in rural and extreme conditions.
Pietro Manzoni is a computer engineering professor at the «Universitat Politècnica de València,» Spain. He received a master’s degree in Computer Science from the «Università degli Studi» of Milan, Italy, 1989 and a Ph.D. in Computer Science from the «Politecnico di Milano,» Italy, in 1995. From November 1992 to February 1993, he interned at Bellcore Labs, Red Bank, New Jersey, USA. From February 1994 to November 1994, he was a visiting researcher at the ICSI (International Computer Science Institute) Berkeley, California, USA.
His research focuses on using Mobile Wireless Networks to create dynamic systems. Currently, he is developing solutions for the Internet of Things using LPWAN networks and Pub/Sub systems. These solutions have various applications, including environmental intelligence by integrating TinyML-based solutions, sustainable and green IoT, and Smart Tourism. Additionally, he is interested in exploring ways to provide integrated connectivity in the edge-cloud continuum.
He is the coordinator of the Computer Networks Research Group (GRC), a senior member of the IEEE, and a member of the ACM SIGCAS – Computers and Society.
Este evento se impartirá en inglés