Andrea Caspani, MSc

Andrea Caspani is currently a PhD researcher within the Transport Engineering and Logistics section of the Maritime and Transport Technology Department at Delft University of Technology. He obtained a Master degree in Automation and Control engineering at Politecnico di Milano, Italy, in 2019. In his thesis work, he focused on model based fault detection methods for large scale interconnected systems.

From 2019 to 2023 he worked for e-Novia, an enterprises factory based in Milan as part of the Automation and Control team, focusing on estimation algorithms, vehicle dynamics and robotics.

In September 2023 he started a PhD at TU Delft within the project AmmoniaDrive. Project goal is to develop an innovative ammonia powered ship, his research will be devoted to the development of smart diagnostics, prognostics and control methods.

• Control theory

• State estimation

• Health-Aware Control

• Prognostics and Health management

• Fault Detection

[1] Caspani, A., Negenborn, R. R., Reppa, V. (2025). Remaining Useful Life Prediction of Solid Oxide Fuel Cells Using Moving Horizon Estimation.  In: Proceedings of the 6th International Conference on Control and Fault-Tolerant Systems (SysTol).

[2] Caspani, A., Negenborn, R. R., Reppa, V. (2025). Degradation-Conscious Model Predictive Control For Marine Solid-Oxide Fuel Cells. In: Proceedings of the European Control Conference (ECC). 

[3] Farina M., Caspani A. (2021). Model-based fault isolability and isolation of persistent faults: Centralized and distributed implementations. Systems & Control Letters, 156, 105006.

[4] Caspani A. (2019). Model based approaches for fault detection of stochastic large scale systems (Master’s thesis).
Politecnico di Milano, Italy, 2019.