Dr. Lorenzo Sabug

Biography

Lorenzo Sabug, Jr. is a research associate at Imperial College London, where he is a co-investigator on a UKRI EPSRC grant focused on 'Concurrent Learning Control for Uncertain Large-Scale Phenomena'. His work involves theoretical and methodological research in physics-informed machine learning and dual control, particularly in applications related to propagation-based phenomena. Lorenzo has collaborated with Politecnico di Milano, where he investigated mathematical data-driven optimization methods and their applications in industrial aerospace fields. His Ph.D. research involved the design of a new data-driven optimization algorithm framework based on the Set Membership approach, which he applied to complex simulation and experiment-based engineering design problems. This work has led to the development of an open-source toolbox accessible through a dedicated link. With a solid foundation in engineering, Lorenzo's research interests are at the intersection of machine learning and optimization, aimed at solving real-world engineering challenges.

Research Interests