Pietro Manzoni
KEYNOTE
Enhancing IoT-Based Monitoring Systems with TinyML
Pietro Manzoni
Universitat Politècnica de València, Spain
ABSTRACT
The convergence of AI and the Internet of Things (IoT) is revolutionizing how we monitor and manage systems across diverse sectors, from agriculture and healthcare to smart cities. TinyML—deploying machine learning models on resource-constrained devices—enables the creation of more powerful sensors that process data locally at the edge, enhancing energy efficiency, privacy, and real-time decision-making.
This talk explores how TinyML empowers IoT-based monitoring systems by improving decision-making capabilities, reducing latency, and minimizing reliance on cloud infrastructure. Key topics include selecting lightweight machine learning algorithms, optimizing models for low-power microcontrollers, and leveraging frameworks like TensorFlow Lite Micro and EdgeImpulse.
Real-world case studies will highlight how TinyML enhances system responsiveness and reliability while reducing costs and energy consumption.
SPEAKER BIOGRAPHY
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, in 1989 and a Ph.D. in Computer Science from the "Politecnico di Milano," Italy, in 1995. From November 1992 to February 1993, he was an intern 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 has always been focused 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) (http://grc.webs.upv.es), a senior member of the IEEE, and a member of the IEEE Technical Committee on Hyper-Intelligence (http://ieee-hyperintelligence.org/index), the IEEE SIG on Metaverse (https://www.ieee-metacom.org/sigmeta/), and the ACM SIGCAS - Computers and Society (https://www.sigcas.org/).
