Dottorando in Intelligenza Artificiale , 37o ciclo (2021-2024)
Dipartimento di Automatica e Informatica (DAUIN)
Profilo
Dottorato di ricerca
Titolo della tesi
Advancing Supply Chain Inventory Management through Mathematical and Deep Reinforcement Learning Approaches
Argomento di ricerca
Intelligenza Artificiale subsimbolica per l'Industria 4.0
Tutori
- Fabio Antonio Stella
Interessi di ricerca
Biografia
Premi e riconoscimenti
- 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)
- Invited speaker at the Bachelor’s degree course "Operations Research and Resource Planning" taught by Professor Fabio Stella at the University of Milano-Bicocca. (2024)
- 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)
Pubblicazioni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- Stranieri, Francesco; Stella, Fabio (2025)
Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains. In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2023), Turin (Italy), September 18-22, 2023, pp. 454-469. ISSN 1865-0937. ISBN: 978-3-031-74640-6
Contributo in Atti di Convegno (Proceeding) - 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, vol. 62, pp. 6211-6226. ISSN 0020-7543
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)