Swifft Collective

Alberto Procacci

Biography

Alberto Procacci is the Principal Investigator of the Sustainable Engineering chair

Specialising in the application of machine learning to energy systems, he completed a PhD in Engineering at École Polytechnique of ULB (2024), focusing on reduced-order models for digital twins of reacting flows, integrating sparse sensing, modal analysis, physics-constrained machine learning, and dynamical system forecasting.

Alberto has previous professional experience as an R&D engineer in the refrigeration industry, combining strong engineering fundamentals with expertise in advanced data-driven modelling for energy and combustion applications. 

Fields and research interests

Machine learning

Digital twins

Modal analysis

Sparse sensing

Physics-constrained models

Dynamical systems