Organizers

The workshop is organized with the support of NVIDIA.

Giuseppe Fiameni [Solution Architect AI and HPC at NVIDIA, Italy] oversees the NVIDIA AI Technology Center in Italy, a collaboration among NVIDIA, CINI and CINECA to accelerate academic research in the field of Artificial Intelligence through collaboration projects. He has been working as HPC specialist at CINECA, the largest HPC facility in Italy, for more than 14 years providing support for large-scale data analytics workloads

Iuri Frosio [Principal Research Scientist at NVIDIA, Italy] got his PhD in biomedical engineering at the Politecnico of Milan in 2006, worked as research fellow at the Computer Science Department of the University of Milan from 2003 and as assistant professor in the same department from 2006 to 2013. In the same period, he was a consultant for various companies in Italy and in the US. He joined NVIDIA in 2014 and he is associate editor of the Journal of Electronic Imaging. His research interests include image processing, computer vision, robotics, parallel programming, machine learning, and reinforcement learning.

Claudio Baecchi [Senior Machine Learning Engineer, Small Pixels at University of Florence, Italy] received his PhD in computer engineering at the University of Florence in 2017. Currently he has a postdoctoral position in the Visual Information and Media Lab at Media Integration and Communication Center, University of Florence. His research focuses around feature representation learning. Moreover, he worked on bringing computer vision to mobile devices for cultural heritage.

Frédéric Parienté [Solutions Architect (AI) Manager, NVIDIA, France] is the deputy director for the NVIDIA AI Technology Center (NVAITC) in EMEA. Frédéric first joined NVIDIA as a market development manager for Accelerated Computing in 2015. Previously, he spent 18 years at Sun Microsystems–Oracle as a performance software engineer and was the regional Director of ISV Engineering when he left Oracle in 2015. Frédéric graduated in General Engineering from ENSTA ParisTech, Mechanical Engineering from University of Illinois and Finance from Université Paris Dauphine. He is an organizer of the first three editions of CADL.

Lorenzo Baraldi [Tenure Track Assistant Professor, University of Modena and Reggio Emilia, Italy] works under the supervision of Prof. Rita Cucchiara on Deep Learning, video analysis and Multimedia, and teaches in the courses of Computer Vision, Scalable AI and AI for Automotive. Among his research interests, he worked on Egocentric Vision and Gesture Recognition, Temporal Video Segmentation and Retrieval, Saliency, Video Captioning, Visual-Semantic alignment and Embodied AI. He is the author of more than 100 publications in international journals and conferences, has been Area Chair of different Multimedia conferences, and is Associate Editor of Pattern Recognition Letters. He has been elected as Scholar in the ELLIS society and coordinates the Modena ELLIS Unit.

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