Driving innovation at the crossroads of theory and application, Giorgio specializes in mathematical programming and machine learning methods, with a particular focus on custom algorithms for combinatorial optimization problems.
Education
Giorgio holds a Ph.D. in Operations Research from the Singapore University of Technology and Design and Master's Degree in Automation Engineering from the University of Padua.
Competence and research areas
Giorgio's expertise extends across diverse research areas, including quantum computing, mixed-integer programming, and robust optimization. Lately, he focused most of his research on solving complex scheduling problems, particularly the real-time train scheduling problem.
Linkedin
https://www.linkedin.com/in/giorgio-sartor/
ResearchGate
https://www.researchgate.net/profile/Giorgio-Sartor
ORCID
https://orcid.org/0000-0001-6161-0556
