معرفی
Oswald Lanz is a tenured full professor at the Faculty of Engineering of the Free University of Bozen-Bolzano, leading the Visual Computing Lab. He holds a Ph.D. in Computer Science and a Mathematics degree from the University of Trento. Prior to his current role, he was a researcher and head of research at FBK Trento. He is an endowed professor collaborating with Covision Lab, an AI hub in Bressanone, and coordinates the board of professors for the PhD in Computer Science program since 2025. His research focuses on Computer Vision, Deep Learning, and Video Analytics, with applications in sports technology, medical imaging, and industrial automation.
Key achievements include the Amazon AWS Machine Learning Research Award (2020), ACM Multimedia Best Paper (2015), and Best Student Paper at ICIAP (2007). He co-organized the ELLIS-VISMAC Winter School (2025) and chaired ICIAP 2019. His work spans novel view synthesis, action recognition, and anomaly detection, supported by patents in video tracking and detection. He teaches courses like Deep Learning and Artificial Intelligence in undergraduate and graduate programs.
Recent projects such as 5VREAL integrate 5G, edge computing, and AI for sports analysis. His collaborations bridge academia and industry, exemplified by his role in Covision Lab and multidisciplinary initiatives like DSS4LCO for food supply chains. Lanz’s publications emphasize spatiotemporal modeling, neural architecture search, and hybrid machine vision systems.
