Francesco Stranieri

Research topic

Subsymbolic Artificial Intelligence for Industry 4.0

Tutors

• Fabio Antonio Stella

• Visiting PhD student at the Artificial Intelligence Lab under the supervision of Professor Chaaben Kouki for six months at ESSCA School of Management in Angers (France). (2024)
• Tutor for STEM skill development and career guidance programs (8 hours) for students from Gandhi High School at the University of Milano-Bicocca. (2024)
• Professor for the course "ITS Machine Learning Specialist" during the academic year 2022/23 (32 hours) at ITS Angelo Rizzoli. (2022)
• Tutor for the Bachelor's degree course "Operations Research and Resource Planning" (MAT/09 – 40 hours) during the academic years 2021/22 and 2022/23 at the University of Milano-Bicocca. (2022)
• External researcher focused on deep reinforcement learning for operational use cases and the development of a digital twin for supply chain risk assessment during a 3-month internship at Bristol Myers Squibb (Switzerland). (2023)
• External researcher focused on deep reinforcement learning and digital twin technologies for supply chain operations and risk assessment during a 3-month internship at Bristol Myers Squibb (Switzerland). (2023)
• Tutor for the 60 CFU teacher training course (A41 – 56 hours) during the academic year 2024/25 at the University of Milano-Bicocca. (2024)
• Winner of the Rotary International “Dr. Gabriele Corbelli Scholarship” (2023-2024 edition) amounting to €6,000 awarded to young Italian researchers to pursue research projects abroad. (2024)
• Received a $150 award for presenting a poster titled "A Deep Reinforcement Learning Approach to Supply Chain Inventory Management" at the 2nd edition of the Mediterranean Machine Learning (M2L) School. (2022)
• Received the second prize in the “Green Technologies and Applications” category for presenting a poster titled “Performance of Deep Reinforcement Learning Algorithms in Two-Echelon Inventory Control Systems” at the Best Student Research “Video & Poster Competition” at IEEE EUROCON 2023. (2023)
• Member of the International Society for Inventory Research (ISIR). (2024)
• Invited speaker at Technoprobe SpA. (2023)
• Invited speaker at the Master’s degree course "Operational Research: Theory and Applications" taught by Professor Edoardo Fadda at the Polytechnic of Turin. (2023)
• Invited speaker at the 17th International Conference on Metadata and Semantics Research (MTSR 2023). (2023)
• Member of the Italian Association for Artificial Intelligence (AIxIA). (2023)
• Inducted as a member of the Mu Nu Chapter of IEEE-Eta Kappa Nu (IEEE-HKN) at the Polytechnic of Turin. (2022)
• Member of the Italian Association of Operations Research (AIRO). (2023)
• Member of the Italian Association of PhD Candidates and PhDs (ADI). (2021)
• Member of the program committee for the 3rd AIxIA Workshop on Artificial Intelligence for Healthcare (HC@AIxIA 2024). (2024)
• Invited speaker at Milano Digital Week 2023 (MDW 2023). (2023)
• Organizer of the Special Session "Artificial Intelligence in Inventory Research" at the 22nd International Symposium on Inventories (ISIR 2024). (2024)

• Archetti, Alberto; Stranieri, Francesco; Matteucci, Matteo (2024)
  Bridging the gap: improve neural survival models with interpolation techniques. In: PROGRESS IN ARTIFICIAL INTELLIGENCE. ISSN 2192-6352
  Contributo su Rivista
• Stranieri, Francesco; Archetti, Alberto; Robbiano, Enrico; Kouki, Chaaben; Stella, Fabio (2024)
  Drug Inventory Control: Human Decisions Versus Deep Reinforcement Learning. In: 3rd Italian Workshop on Artificial Intelligence and Applications for Business and Industries 2023 (AIABI 2023), Rome (Italy), November 9, 2023. ISSN 1613-0073
  Contributo in Atti di Convegno (Proceeding)
• Stranieri, Francesco; Stella, Fabio; Kouki, Chaaben (2024)
  Performance of deep reinforcement learning algorithms in two-echelon inventory control systems. In: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, pp. 1-16. ISSN 0020-7543
  Contributo su Rivista
• Stranieri, Francesco; Fadda, Edoardo; Stella, Fabio (2024)
  Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem. In: INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, vol. 268. ISSN 0925-5273
  Contributo su Rivista
• Archetti, Alberto; Stranieri, Francesco; Matteucci, Matteo (2023)
  Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques. In: 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023), Rome (Italy), November 6, 2023, pp. 99-121. ISSN 1613-0073
  Contributo in Atti di Convegno (Proceeding)