Samuele Giussani

Forskningsamanuens

Institutionen för datavetenskap och medieteknik Fakulteten för teknik

samuele.giussani@lnu.se

0470-70 89 19

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Mina forskargrupper

Engineering Resilient Systems (EReS) Forskargruppen Engineering Resilient Systems (EReS) Research Lab bedriver forskning inom så kallad systemresiliens. EReS fokuserar på att undersöka (och…
Smart Industry Group (SIG) Smart Industry Group (SIG) är en tvärvetenskaplig forskargrupp med expertis från datavetenskap och maskinteknik. SIG:s fokus är att göra produktion och produkter inom…

Mina pågående forskningsprojekt

Publikationer

Artikel i tidskrift (Refereegranskat)

Edrisi, F., Perez-palacin, D., Caporuscio, M., Giussani, S. (2024). Developing and Evolving a Digital Twin of the Organization. IEEE Access. 12. 45475-45494.
Status: Publicerad

Konferensbidrag (Refereegranskat)

Giussani, S., Martins, R.M., Soares, A., Caporuscio, M., Perez-palacin, D. (2025). Visualizing Feature Importance of Time Series Data in Discrete-Event Simulations using Shapley Additive Explanations. Proceedings of the 39th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation. 65-69.
Giussani, S., Caporuscio, M., Perez-palacin, D. (2025). A Reasoning Framework for Architecting Carbon-Aware Software-as-a-Service Applications. Software Engineering and Advanced Applications. SEAA 2025.. 231-241.
Giussani, S. (2025). Architecting Carbon-Aware Software-as-a-Service. Software Architecture. ECSA 2025 Tracks and Workshops.. 70-77.
Giussani, S., Perez-palacin, D., Caporuscio, M., Edrisi, F. (2025). Business Process Lifecycle Enhancement via Digital Twin and Model-Driven Engineering. 2025 IEEE 22nd International Conference on Software Architecture Companion (ICSA-C). 300-309.
Edrisi, F., Perez-palacin, D., Caporuscio, M., Giussani, S. (2023). Adaptive Controllers and Digital Twin for Self-Adaptive Robotic Manipulators. 2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). 56-67.
Giussani, S. (2022). A Semi-Decentralized Self-Adaptive IoT Architecture for Energy Efficiency in Smart Households. STAF 2023 Workshop Post-Proceedings.