
Daniele Giovanni Gioia, M.Sc.
Contact
Room: 1563
daniele.gioia(at)tum.de
Office Hours
by appointment
Research interests
- Stochastic Optimization
- Reinforcement Learning and Dynamic Programming
- Robust Optimization
Academic Career and Positions held to date
- Since 09/2022: Visiting Doctoral Researcher at the Chair of Logistics and Supply Chain Management, School of Management, Technical University of Munich
- Since 10/2020: Doctoral Researcher at the Department of Mathematical Sciences “Giuseppe Luigi Lagrange”, Polytechnic University of Turin, Italy
Education
- 2018 - 2020: Mathematical Engineering (M.Sc.), Polytechnic University of Turin, Italy
- 2019 - 2020: Erasmus student, Eindhoven University of Technology, The Netherlands
- 2015 - 2018: Mathematics for Engineering (B.Sc.) - Young Talents Project, Polytechnic University of Turin, Italy
Publications
- Gioia, Daniele Giovanni; Pasta, Edoardo; Brandimarte, Paolo; Mattiazzo, Giuliana (2022). Data-driven control of a Pendulum Wave Energy Converter: A Gaussian Process Regression approach. In: Ocean Engineering, vol. 253. ISSN 0029-8018
Presentations
- 10th IFAC Conference on Manufacturing Modelling, Management and Control- Nantes, France - (22-24) June 2022: "Inventory management of vertically differentiated perishable products with stock-out based substitution”