Education

Nanyang Technological University, Singapore
Visiting PhD at Nanyang Business School
Feb. 2024 - Aug. 2024

ESSEC Business School, France
PhD, Operations Research and Management
2020 - Present

Polytechnic University of Turin, Italy
Mater’s degree, Computer Software Engineering
2017

Polytechnic University of Turin, Italy
Bachelor’s degree, Computer Engineering
2015

Work Experience

Mar. 2018 – Aug. 2020, Researcher, LINKS Foundation, Italy

Keywords: Industry 4.0, metaheuristic, optimization, scheduling, programming
Supervisor: Roberto Tadei
Under Industry 4.0 context, optimizing production lines in plastic and rubber manufacturing through factory investigation, mathematical modeling, metaheuristic (Genetic Algorithm and Tabu Search) programming, and performance analysis.
Keywords: project management, presentation
In the EU 2020 project – LEXIS (building a platform at the confluence of HPC, cloud, and Big Data), collecting lessons learned, organizing meetings, and reporting to assess the project development status.

Apr. 2017 – Oct. 2017, Research Intern, Fraunhofer Institute IVI, Germany
Keywords: Risk analysis, prediction modeling, database, open source
Supervisor: Axel Simroth, Denise Holfeld
In the EU 2020 project – SYNCHRO-NET (providing cost-effective, robust transport solutions), analyzed the potential risks in synchro-model transportation network through open source deployment, database development, feature extraction, and Monte Carlo Rollout simulation.

Sept. 2016 – Jan. 2017, Lab Assistant, Polytechnic University of Turin, Italy
Student-to-student tutoring in the laboratory sessions of the database management system (DBMS) concerning technological characteristics and data analysis on commercial and open source products.

Papers Under Revision and Working Paper

[Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates]
Y. Li, C. Archetti, I. Ljubic

[Emerging Optimization Problems for Distribution in Same-day Delivery]
Y. Li, C. Archetti, I. Ljubic

[Managing Start-up Growth Before Facility Investments]
with F. Papier and R. Mogre

Publications Before PhD

Machine learning and optimization for production rescheduling in industry 4.0
Y. Li, S. Carabelli, E. Fadda, D. Manerba, R. Tadei, O. Terzo
Oct. 2020, The International Journal of Advanced Manufacturing Technology

Sustainable and De-stressed International Supply-chains Through the SYNCHRO-NET Approach
R. Giusti, C. Lorfida, Y. Li, D. Manerba, S. Musso, G. Perdoli, R. Tadei, S. Yuan
Feb. 2019, sustainability (MDPI)

Presentations During PhD

Managing Startup Growth Before Facility Investments IESEG-ESSEC-University of Cologne Operations Research Camp, Paris, France March 2024

Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates POM China, Zhejiang, China, July 2023 EURO, Helsinki, Finland, July 2022}

Presentations Before PhD

Machine Learning application in Optimization: Job-Shop Scheduling in Industry 4.0 September 2019, ODS, Genoa, Italy August 2019, MIM, Berlin, Germany

Reinforcement Learning Algorithms for Online Single-Machine Scheduling
Y. Li, E. Fadda, D. Manerba, R. Tadei, O. Terzo
Sept. 2020, 2020 15th Conference on Computer Science and Information Systems (FedCSIS)

Risk Analysis for synchro-modal freight transportation: the SYNCHRO-NET approach
D. Holfeld, A. Simroth, Y. Li, D. Manerba, R. Tadei
June 2018, Odysseus 2018

Scholarship

Compagnia di San Paolo – Politecnico Project September 2016, Polytechnic University of Turin, Italy
A scholarship based on the academic career performance, awarded 16 international students annually from either a Bachelor‘s or Master‘s program in Engineering or Architecture at the Polytechnic University of Turin

Technical Skills

Programming Java, Python, OPL, C, SQL, HTML
Software CPLEX, Eclipse, Mysql
Operating System Windows, MacOS, Linux

Languages

Chinese Native Speaker
English Fluent
Italian Basic French Basic