معرفی
Samuele Giussani is a researcher affiliated with the Faculty of Technology at Linnaeus University, working within the Department of Computer Science and Media Technology. He actively contributes to the Engineering Resilient Systems (EReS) and Smart Industry Group (SIG) research labs, focusing on system resilience and interdisciplinary applications of computer science and mechanical engineering.
Giussani’s research centers on Digital Twin of the Organization (DTO) and Adaptable Architectures for Organizations' Digital Twins (Aladino). These projects aim to develop live organizational models and engineering methodologies for modeling, evaluating, and optimizing systems through digital twins and model-driven engineering. His work spans IoT architectures for energy efficiency, self-adaptive robotic manipulators, and visualization techniques for time series data in simulations.
His recent publications (2022–2025) highlight advancements in digital twin technologies, self-adaptive systems, and model-driven engineering. These studies emphasize organizational modeling, business process optimization, explainable AI, and energy-efficient IoT solutions. Giussani teaches courses in Operating Systems, Algorithms and Advanced Data Structures, and Software Engineering, while participating in interdisciplinary collaborations between computer science and mechanical engineering.
Giussani’s research groups (EReS and SIG) integrate theoretical and practical approaches to enhance system resilience and smart industrial production. His contributions reflect a focus on bridging software engineering with real-world applications in robotics, IoT, and sustainable organizational design.
