Prof. Armando Albertazzi
Federal University of Santa Catarina (UFSC), Brazil

Speech Title: Speckle Interferometry in Hostile Environments: Design Considerations and Engineering Applications
Abstract: Interferometric measurement techniques use the wavelength of light as a reference and therefore allow for highly sensitive measurements. At the same time, they are also very sensitive to environmental disturbances such as vibrations, air movements, temperature, and air humidity. Some engineering applications require highly sensitive measurements in hostile environments. This talk addresses the main sources of disturbances present in hostile environments and their effects on interferometric measurements. Constructive strategies and techniques that enable interferometric measurements in hostile environments are presented and discussed. Finally, some examples of speckle interferometry systems whose use is successful in hostile environments are presented.

Biodata: Dr. Armando Albertazzi is a full professor in the Department of Mechanical Engineering at the Federal University of Santa Catarina (UFSC), in Florianópolis, southern Brazil. His main research interest is the development and applications of optical metrology for measuring 3D shapes, stresses and residual stresses, as well as for inspecting composite materials. He has supervised 64 master's students and 29 doctoral students. He is the author or co-author of approximately 64 journal articles, 230 proceeding articles, 2 textbooks, and editor of 8 conference proceedings, all in the field of optical metrology. He has coordinated over 50 R&D projects. He currently coordinates the implementation of the InPETU hub Innovation Center at UFSC in Florianópolis. In 2008 he was awarded SPIE Fellow.

Luigi Rovati
University of Modena and Reggio Emilia, Italy

Speech Title: Machine Vision for Quantitative Ophthalmic Measurement: From Image Quality Control to Automated Anterior Chamber Assessment
Abstract: Machine vision systems are increasingly required to deliver reliable quantitative measurements in real-world applications. This invited talk presents a vision-based measurement framework applied to ophthalmic imaging, where controlled optical acquisition, image quality assessment and learning-based analysis are jointly designed to ensure robustness and accuracy. The talk focuses on two closely related case studies: automatic classification of eye images to assess acquisition quality, and vision-based measurement of the anterior chamber angle using machine learning techniques. Experimental results obtained on real ophthalmic datasets demonstrate how machine vision performance strongly depends on acquisition design and validation metrics, rather than on algorithms alone. The presented work highlights key design principles for deploying machine vision as a measurement tool in biomedical applications, with implications extending to other vision-based sensing domains.

Biodata: Luigi Rovati is Full Professor of Electronic Instrumentation and Measurement Science at the University of Modena and Reggio Emilia, Italy. His research activity focuses on optical and vision-based measurement systems, sensor design, and data-driven analysis for quantitative applications. He has authored over 200 scientific publications and his work spans biomedical imaging, machine vision, and advanced optical sensing. His research combines instrumentation, signal and image processing, and machine learning with a strong emphasis on measurement accuracy and validation.