Just about two weeks after the world has watched the Conclave in the Vatican, the 23rd EMVA Business Conference took place from 22 – 24 May in the eternal city of Rome. Around 110 vision-tech CEOs and other decision makers from machine vision enterprises and institutes out of 14 nations from Europe and overseas met in Italy’s capital.
Despite offering a well balanced progam of keynotes, technical presentations and a panel discussion, the EMVA Business Conference is characterized by extraordinary networking opportunities.
This time a new record got achieved – more than 160 individual 1:1 meetings were pre-scheduled during the 2.5 conference days. And of course the side events were used for personal exchange and meeting peers.
Current geopolitics and the economic challenges were reflected by several speakers as well as the panel discussion.
Especially the question of import taxes, its influence on global trade and how to manage that from a vision company’s perspective got addressed not only in program sessions but also in many conversations between participants. All over all, probably the most political EMVA conference so far.
But vision technologies and applications were not cut short. This includes Industrial Computed Tomography; FT spectral imaging; Railway Specific Challenges and Requirements for Fully Automated Train Operations; Imaging Trends in Defense & Security; and a talk about the future of vision sensing technology revolutionizing the way we perceive and process visual data.
Dr. Rolandos Alexandros Potamias wins EMVA Young Professional Award 2025

The EMVA Young Professional Award 2025 went to Dr. Rolandos Alexandros Potamias for his work “High-fidelity 3D Hand Modelling, Detection and Reconstruction in world-coordinates”. The awardee was announced on 23 May during the 23th EMVA Business Conference in Rome, where he also had the opportunity to present his work as part of the regular conference program. Rolandos Alexandros Potamias is a postdoctoral researcher in 3D Computer Vision at the Department of Computing of Imperial College London in United Kingdom, focusing on perceiving and modelling humans. Rolandos holds a MEng from the School of Electrical and Computer Engineering in National Technical University of Athens. He obtained his PhD degree from Imperial College London under the supervision of Stefanos Zafeiriou with the thesis entitled “Advances of graph neural networks for 3D shape learning and analysis”. Rolandos’ current research efforts focus on building foundational embodied AI for open-world robots.
