I am an associate professor in Industrial Engineering in the laboratory CRAN (Centre de Recherche en Automatique de Nancy) at the Université de Lorraine since 2022. Before joining CRAN, I was a two-year postdoctoral researcher at the Université Toulouse 3 Paul-Sabatier, supervised by Prof. Jean-Michel BRUEL. From 2016 to 2019, I pursued my Ph.D. at INSA Lyon, supervised by Prof. Vincent CHEUTET, Prof. Tao WANG, and Associate Prof. Haiqing ZHANG. Prior to embarking on my doctoral studies, I completed my master’s degree from the Nanjing University of Aeronautics and Astronautics, where I was supervised by Associate Prof. Guohua Shen and Prof. Zhiqiu Huang. I obtained my bachelor’s degree from Anhui University of Technology.
Currently, my research interests center on ethics in smart manufacturing, with a particular focus on the systematic integration of ethical considerations into the development of Digital Twins (DTs). We refer to such ethically informed DTs as Digital Ethical Twins (DETs). My work also explores theoretical frameworks for guaranteeing that DETs consistently make ethical decisions. In addition, I am investigating Domain-Specific-Language-based methods to automatically extract ethical requirements from natural language–based system requirements, enabling the seamless incorporation of ethics into intelligent manufacturing systems.
🔥 News
- 11/2025: I am looking for a postdoc researcher working on Ontology-driven Knowledge Base Development for Ethical Factor Identification.
- 11/2025: I am going to give a talk on ethics at the Ecole d’hiver IMS² 2025. You can find the slides here.
📝 Main Research Projects
- 10/2025 - 10/2029: ANR JCJC DET - Digital Ethical Twins for CPS-based smart manufacturing, coordinator.
- 01/2023 - 01/2027: ADEME BYWALL - Design of a global and integrated process of thermal insulation by prefabricated exterior, participant.
👩🔬 Ph.D. Thesis Supervision
Ongoing Ph.D. thesis
- 10/2025 - : Chahrazad Sehrani, Digital Ethical Twins for CPS-based smart manufacturing.
- 03/2023 - : Eliott Gauthey-Franet, Surrogate model-based Combustion Optimization.
📚 Recent Publications
Conference papers
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Philippe Thomas, Eliott Gauthey-Franet, Yinling Liu, Hind Bril El Haouzi, Yann Rogaume. MLP model for prediction of pellet combustion: how to deal with small datasets. NCTA’25 17th International Conference on Neural Computation Theory and Application, insticc, Oct 2025, Marbella, Spain.
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Eliott Gauthey-Franet, Yinling Liu, Hind Bril El Haouzi, Yann Rogaume, A Surrogate model-based combustion optimization for pellet stoves, NCTA’25 17th International Conference on Neural Computation Theory and Application, insticc, Oct 2025, Marbella, Spain.
Journal papers
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Li Huang, Sophie Ebersold, Alexander Kogtenkov, Bertrand Meyer, Yinling Liu, Lessons from Formally Verified Deployed Software Systems, ACM Computing Surveys (just accepted)
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Yinling Liu and Jean-Michel Bruel. 2024. Modeling and Verification of Natural Language Requirements based on States and Modes. Form. Asp. Comput. 36, 2, Article 9 (June 2024), 47 pages. https://doi.org/10.1145/3640822
💼 Professional Services
- Reviewer of JOS, RESS, SoSYM, ESOP, IFAC, IEEE SMC, etc.