Tenured full professors | Machine Learning | Intelligent Systems
Antonio’s passion for artificial intelligence, has driven his academic career through the meanders of artificial vision, e-health, intelligent networks and intelligent systems. Antonio’s team is renowned for his contributions to micro-edge intelligence and miniaturized machine learning, which have significant potential in harnessing data-intensive systems (smart cities, cyber-physical systems, Internet of Things, smart energy, and machine learning with humans in the loop). He has led the international team that has recently made a breakthrough in artificial neural networks, initiating a new research strand at the intersection between machine learning and network science.
76439A · ING-INF/05 · L-31 Informatics and Management · EN
27500A · INF/01 · LM-DATA Data Analytics for Economics and Management · EN
73062B · ING-INF/05 · LM-18 Computing for Data Science · EN
Intelligent systems, intelligent networks, smart sensing, Internet of Things, embedded machine learning, data science, urban science, network science, systems with humans in the loop.
Editor-in-Chief, Springer book series on the Internet of Things.