Daniele Giovanni Gioia, M.Sc.


Room: 1563


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


  • 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


  • 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


  • 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”