Giovanni Fasano is a Full Professor at the Department of Management, Venice School of Management, Ca' Foscari University of Venice. His academic journey includes a PhD in Operations Research from Sapienza University of Rome and extensive contributions to optimization theory, computational mathematics, and applications in finance and engineering. He holds dual qualifications in the Italian National Scientific Qualification (Sector 01/A5 and 01/A6). Education: PhD in Operations Research (2001), Sapienza University of Rome MSc in Electronic Engineering (1997), Sapienza University of Rome High School Diploma (1986), Liceo Scientifico B. Pascal, Rome Research Focus: His work spans optimization algorithms (e.g., conjugate gradient, Newton-Krylov), stochastic models for agent interactions, and applications in finance (cryptocurrency forecasting), ship design, and machine learning. He has pioneered methods for handling large-scale and nonconvex problems, including preconditioning techniques and hybrid metaheuristics (PSO). Grants & Projects: Key roles in projects like the €1M Interreg MIMOSA (maritime transport) and RITMARE (ship hydrodynamics). Funded by EU, MIUR, and industry partners (e.g., INSEAN, RINA). Awards: Charles Broyden Prize (2009), Best Publication Awards (2009, 2014), ANVUR FFABR Grant (2017). Over 100 peer-reviewed articles and 34 co-authors (9 international). Labs/Teams: Member of BLISS (Ca' Foscari), GNCS (INdAM), and Science of Complex Systems groups. Active in conferences (e.g., SIAM, EUROPT) and editorial roles (Mathematical Methods in Economics and Finance).

