The "In the Spotlight" series features double sessions of two 20-minute presentations, each followed by a 10-minute open dialogue and Q&A. Designed to introduce new colleagues to the broader FEM research community, these sessions offer a platform for team members to share their scientific backgrounds, present active projects, and showcase specialized technical skills. For this session In the Spotlight session, we are pleased to introduce Dr. Salim Malek and Dr. Richard Schweitzer. Anyone interested is warmly invited to attend.

Dr. Salim Malek serves as a Technologist in Digital Agriculture at the Research and Innovation Centre of Fondazione Edmund Mach, where he focuses on developing AI-driven solutions and advanced machine learning techniques for smart environmental management. He previously worked as a Senior Researcher at Fondazione Bruno Kessler (FBK), building extensive experience across multidisciplinary AI research projects.
Dr. Malek holds a Ph.D., with primary expertise at the intersection of computer vision, deep learning, pattern recognition, and image/signal processing. His research background encompasses applications in remote sensing, 3D reconstruction, spectroscopic analysis, biomedical signal processing, and environmental monitoring.

Dr. Richard Schweitzer serves as a Postdoctoral Researcher in the Digital Agriculture Unit at Fondazione Edmund Mach, where he focuses on developing computer-vision applications. He previously worked as a Postdoctoral Researcher at the Cluster of Excellence Science of Intelligence in Berlin and CIMeC (Centro Interdipartimentale Mente/Cervello), building extensive experience across active vision, robotics, and cognitive neuroscience projects.
Dr. Schweitzer holds a Ph.D. in Experimental Psychology, with primary expertise at the intersection of vision science, computational modeling, human psychophysics, and sensorimotor control. His research background encompasses applications in eye and motion tracking, M/EEG neural decoding, intra-saccadic perception, visual stability, and computer vision.