Education

ESSEC Business School, France
PhD, Operations and Data Analytics
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 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 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 database management system (DBMS) concerning technological characteristics and data analysis on commercial and open source products.

Publications

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

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)

Machine Learning application in Optimization: Job-Shop Scheduling in Industry 4.0
Y. Li, D. Manerba, E. Fadda, K. Goga, R. Tadei
Sept. 2019, ODS 2019 (Oral presentation)

Smart Scheduling in Industry 4.0
Y. Li, K. Goga, R. Tadei
Aug. 2019, MIM 2019 (Oral presentation)

Smart Scheduling Strategy for Lightweight Virtualized Resources Towards Green Computing
S. Ciccia, A. Scionti, Y. Li, C. D’Amico, O. Terzo
Apr. 2019, CISIS 2019

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)

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

Working paper

[Reinforcement Learning Approaches for the Orienteering Problem with Stochastic and Dynamic Release Dates]
Y. Li, C. Archetti, I. Ljubic
2022-Present

[Emerging Optimization Problems for Distribution in Same-day Delivery]
Y. Li, C. Archetti, I. Ljubic
2023-Present

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