Tenured full professors | Machine Learning | Intelligent Systems
Short bio
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 · Bachelor in Informatics and Management of Digital Business · EN
27500A · INF/01 · Master in Data Analytics for Economics and Management · EN
76102 · ING-INF/05 · Master in Software Engineering · EN
73062B · ING-INF/05 · Master in Computing for Data Science · EN
Discover all the news about Antonio Liotta’s research at unibz
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.