I'm currently an Associate Professor at the Department of Engineering for Innovation Medicine of the University of Verona, and I serve as the head of the Industrial Computer Vision lab within Intelligo Labs. Previously, I was a Post-Doc Research Fellow at the University of Verona, at the Laboratory for Applied Ontology of the Institute of Cognitive Science and Technology, Consiglio Nazionale delle Ricerche (ISTC-CNR) in Trento, and earlier at the Measurement Instrumentation and Robotics Group of the University of Trento, running the individual PAT-EU Cofund Marie Curie Action project ABILE.

I'm a Mechatronics Engineer, graduated from the University of Trento, and I completed my PhD at the University of Padua. My background is in Computer Vision, Machine Learning, and Robotics. I co-authored more than 50 papers in international peer-reviewed journals and conferences. I'm a member of the Editorial Board of the Cognitive Processing journal and serve as a reviewer for top-ranked journals and conferences, including Computer Vision and Image Understanding, CVPR, ICCV, ICPR, ICRA, IROS, IJCAI, and ACM Multimedia. I'm a co-founder and active team member of the spin-off company Qualyco S.r.l. implementing AI solutions in smart manufacturing. I previously co-founded two start-up companies: one focused on robotics and mechatronics (Robosense S.r.l.) and another on high-tech instrumentation for sports and fitness (Libon S.r.l.).

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My current research interest are divided into three main topics: Active Vision, Cognitive Robotics, and Industry 4.0.

Active Vision

Let a robot move to efficiently explore the scene and recognize objects within its workspace; this will allow to overcome problems like occlusions, limited field of view and limited resolution of the cameras, and brings to learn more robust models of objects and environments.

Cognitive Robotics

Allow a robot to perceive the environent it’s operating with, understand what’s happening around it, and make decisions about how to behave next; this is the foundamental ability of every autonomous cooperative robot.

Industry 4.0

evelop computer vision and machine learning techniques to process industrial data and provide manufacturing automation with new capabilities in the field of industrial quality control, process monitoring, anomaly detection, and many others.