Di Stefano

Di Stefano
ITALY Full Professor of Information Processing Systems University of Bologna Adjunct Faculty

Luigi Di Stefano holds a PhD in Electronic Engineering and Computer Science and is Full Professor at the Department of Computer Science and Engineering (DISI) of the University of Bologna, where he founded and leads the Computer Vision Laboratory (CVLab). His research interests are focused on computer vision, image processing and machine/deep learning (AI). He is author of more than 180 papers in renowned international journals and conferences as well as of several patents. He has published in prestigious journals such as IEEE PAMI, IJCV and IEEE TIP, as well as in top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS and ICLR.  From 2009 to 2011 and from 2015 to 2017 he has been a member of the Board of Directors of Datalogic spa. Since 2011 he is scientific consultant for Pirelli Tyres in the area of computer vision. In 2012-2013 he was a member of the Technology Committee of Datalogic Group, an international advisory board formed by academic experts in different disciplines. In 2020 he co-founded the Start-up and since then is a member of the board of the company.


Computer vision pursues understanding the content of digital images through a large corpus of techniques drawing from a variety of diverse fields. These include, among the others, signal and information theory, calculus, geometry and linear algebra, probability and statistics, optimization, machine learning.


Computer vision has emerged through the last three decades as a key process technology to realize inspection and assembly of manufactured goods. Moreover, thanks to recent breakthroughs in image sensing and analysis, we now witness ever-increasing deployment of computer vision within products as widespread as  cars, gaming consoles, apps, personal computers, home appliances.


The course will present an overview of some of the most effective computer vision techniques alongside with examples dealing with both “in process” and “in product” applications.

Artificial Intelligence and Innovation Management

Computer Vision is at the heart of the AI revolution. Machines nowadays can not only see better than ever but also generate realistic visual content spanning images, videos and 3D assets. We will walk through ideas and applications, shedding light on how computer vision may be deployed in controlled environments, e.g. in manufacturing,  “in the wild”, e.g. in assisted/autonomous driving,  as well as to generate cool stuff for applications largely yet to come.

Artificial Intelligence for Business