Matteo Saveriano is an Associate Professor at the University of Trento , affiliated with both the Department of Industrial Engineering and the Department of Information Engineering and Computer Science . His work focuses on Robotics , Control Systems , and Machine Learning , with applications in robotic manipulation, locomotion, and human-robot interaction. Email: matteo.saveriano@unitn.it Research interests include antifragile control systems, dynamic movement primitives, reinforcement learning, biomechanical characterisation, and motion planning on discrete manifolds. His teaching covers Automatic Control and Robotics , with a hybrid theoretical-practical approach using Python simulations. Recent publications explore topics such as neuro-symbolic robotics, radiation effects on embedded GPUs, surface defect identification with Bayesian filtering, and reactive navigation using control barrier functions. These works highlight interdisciplinary trends at the intersection of robotics , machine learning , and control theory .
Roberto Vezzani is an Associate Professor at the University of Modena and Reggio Emilia's Enzo Ferrari Department of Engineering, specializing in information processing systems (ING-INF/05). Previously Director of the Artificial Intelligence Research and Innovation Center (2018-2021), he holds a PhD in Information Engineering from the same institution. As senior member of AimageLab, he coordinates research on human-computer interaction using multi-sensor systems. His research spans: Computer vision for IoT and video surveillance Motion detection and action classification 3D vision with depth/thermal/event cameras Sensor fusion and automatic video annotation He leads competitive projects funded by Toyota, Ferrari, and EU programs, focusing on industrial applications of computer vision. Recent publications (2024-2025) demonstrate strong focus on 3D pose estimation, robot perception, and efficient embedded vision systems, with applications in automotive, robotics, and UAVs. Awards include: Best Paper - ICPR 2020 (IAPR) Best Paper - VISAPP 2020 Best Paper - THEMIS'2008 Industrial collaborations feature multi-year projects with Ferrari (RedVision lab), Toyota Europe, and Tetra Pak. Teaching includes courses on Computer Architecture, IoT systems, and industrial AI.
Simone Paoletti serves as Associate Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena, where he joined as a Researcher in 2007 and currently chairs the Teaching Committee for the Master's Degree in Artificial Intelligence and Automation Engineering. His international research includes collaborations at Linköping University, Eindhoven University of Technology, and University of Colorado Boulder. Education: Bachelor's Degree in Computer Engineering (Automatic Control & Industrial Automation), University of Rome Tor Vergata, 2000 PhD in Information Engineering, University of Siena, 2004 Research Focus: Dr. Paoletti specializes in robust control of uncertain systems , identification of hybrid systems , and optimization techniques for smart grid management . His work bridges theoretical control systems with practical sustainable energy applications, highlighted by his 2019 seminar invitation at the National Renewable Energy Laboratory (NREL). Publication Trends: Recent works (2023-2025) demonstrate concentrated research on reinforcement learning and mathematical optimization for renewable energy communities, particularly addressing electric vehicle integration and distributed energy resource management within European-scale frameworks. Scientific Awards: No awards documented in provided materials. Teaching & Service: He instructs Discrete-Event Systems (Master's level) and Dynamic Systems (Bachelor's level), with office hours held Thursdays 12:00-13:00 in S.Niccolo' Building Room 229. His research projects focus on renewable energy community management and grid optimization.
Barbara Marana is a Researcher in Topography and Cartography at the University of Bergamo, School of Engineering, Department of Engineering and Applied Sciences (DISA). She has maintained an active academic career since 2003, progressing from Research Fellow to Confirmed Researcher in 2008, while also serving as an Adjunct Professor for Information Systems for the Territory and Topography courses from 2015-2023. Her educational background includes a Doctorate in Geodetic and Topographic Sciences from the Polytechnic University of Turin (1993-1997) and a Degree in Electronic Engineering with specialization in Automatic Control from the Polytechnic University of Milan (1991). She possesses strong English language skills and has authored over 60 scientific publications throughout her career. Dr. Marana's research focuses on the application of Geomatics technologies to cultural heritage preservation, environmental monitoring, and urban planning. Her work demonstrates particular expertise in GIS applications, LIDAR technology, 3D scanning, and photogrammetry for documenting and analyzing historical sites, military landscapes, and natural environments. She has developed innovative approaches for integrating these technologies to create detailed spatial analyses that support conservation efforts and sustainable development initiatives. Her recent work shows increasing emphasis on interdisciplinary applications, particularly in environmental monitoring and cultural heritage documentation. Analysis of her publication record reveals consistent thematic development across multiple domains: Early work focused on 3D modeling and documentation of archaeological sites in Central Sicily Mid-career publications expanded into military archaeology and LIDAR visualization techniques Recent research demonstrates sophisticated integration of multiple geospatial technologies for environmental applications, including air pollution analysis and climate change impact assessment Dr. Marana has received recognition for her contributions to geospatial science education through innovative teaching methods including challenge-based learning approaches to digital mapping instruction. Her educational work aligns with Sustainable Development Goals 4 (Quality Education) and 11 (Sustainable Cities and Communities). She leads research projects focused on cultural heritage documentation, particularly using 3D scanning and BIM technologies for historical structures, and maintains active collaborations on projects involving the Grotto of Saints in Enna and the Necropolis of Realmese in Calascibetta. Her methodology consistently combines traditional surveying techniques with advanced technologies including terrestrial laser scanning, UAV systems, and multispectral imagery.
