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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.
Laura Morselli is a senior HPC technology specialist in the High Performance Computing Department of CINECA, the Italian supercomputing centre. Laura focuses on managing the support to large-scale AI projects running on the supercomputers hosted by CINECA and is involved in several national and European projects exploiting AI and HPC to develop solutions for public administrations, industries and academia. She is the coordinator of MINERVA, the European Support Centre on AI funded by the EuroHPC JU that started in January 2025. Laura got her PhD in Astrophysics in 2018 from the Technical University of Munich and had experience in academic research in the field of galaxy evolution.
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.
Fabian Bösch [Research Software Engineer, Swiss National Supercomputing Center (CSCS)] collaborates with domain scientists to develop high-performance applications and libraries for supercomputers. Leveraging expertise in machine learning and software architecture, he designs, implements, and optimizes scientific software solutions, ensuring performance, portability, and efficiency. Fabian holds a PhD in Mechanical Engineering from ETH Zurich, where he researched novel CFD methods for turbulence, multiphase, and rarefied gas flows.
Dario Garcia Gasulla Dario Garcia-Gasulla [Leading Researcher, BSC, Spain dario.garcia@bsc.es] leads the High Performance Artificial Intelligence (HPAI) research group, focused on exploring AI within an HPC context. He has been doing research in AI for over 15 years, while also being a lecturer in Deep Learning for seven years at UPC university (2017-2024). He's a member of the European AI Society ELLIS, and today he leads 35 people in HPAI, dedicated to exploring open LLMs, model evaluation, explainability and other AI fields.
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