Tao WANG

Wang Tao is Associate Professor and PhD supervisor on Industrial Engineering and Computer Science at University of Saint Etienne, researcher at Decision & Information Sciences for Production Systems laboratory. His research interests lie in the interdisciplinary field of Operations Research and Artificial Intelligence, especially in mathematical modeling and Machine Learning. He continuously works in several international and regional research projects on health care system management and reform, covering etiological diagnosis, personalized medicine, operating theatre scheduling, bed management, emergency network configuration, cancer treatment planning, drug delivery, home care services management and medical data mining.

• Recent research projects

2025 - 2032 Evaluation and validation of an Artificial Intelligence algorithm for etiological and prognostic predictions in non-infectious uveitis – UVEIA, HCL, INSERM, RESHAPE. 

2025 - 2026 Designing advanced NLP techniques for opinion analysis in group discussions on sustainable development, Coactis. 

2024 - 2028 i-Demo Alliance - Industrialization of Energy Decarbonization Equipment, bpifrance, Prodeval, Aventech, INSA Lyon. 

2024 - 2027 HarmonicAI - HORIZON-MSCA-2022-SE-01-01 Human-guided collAboRative Multi-Objective design of explaiNable, faIr and privaCy-preserving AI for digital health, UEvora, UREAD, BUL, UNN, UOL, DCU, ULL, UJM, AMC, TUDelft, JYU, ULSBA, CMU, DECSIS, MLA, UOA. 

2024 - 2025 Predictive analysis of organizational factors for the prevention of healthcare-associated infection risk, CHU St-E, Coactis.

2018 - 2023 Predicting hospital length of stay by Machine Learning, Pack Ambition Recherche of Auvergne-Rhône-Alpes, Hospices Civils de Lyon, RESHAPE.

2017 - 2019 National Natural Science Foundation of China (NSFC) (No.61602064) Research of Dynamic Fuzzy Optimal Pattern Mining for Deriving Valuable Information Discovery from Large-Scale Medical Data, CUIT.

2017 - 2018 Science and Technology Agency of Sichuan (No.2017HH0088) Dynamic Optimization of Services for Elderly Chronic Disease Based on Medical Big Data, CUIT.

• Recent Ph.D. supervisions

2024 ~ 2027   Optimized and Integrated Management of Biogas Purifier Production, Mr. Mohiedine El Hadi Terki Hassaine, DISP lab, INSA Lyon, co-directed with Dr Taha Arbaoui and Dr Sylvain Touchard. 

2023 ~ 2026    Machine learning-assisted pre-diagnosis for dental health, Ms.Randa Bendjeddou, DISP lab, University of Lyon 2,co-directed with Dr Aicha Sekhari and Dr. Giacomo Kahn.

2023 ~ 2026    Empowerment of patients with obstructive sleep apnea for a more effective and resilient home-based treatment, Ms.Yasaman Kakaei Siahkal, DISP lab, University of Lyon 2, co-directed with Pr Nejib Moalla (Director) and Dr Aicha Sekhari.

2023 ~ 2026    Integration of location and distribution decisions in the healthcare context, Mr.Siyu Guo, DISP lab, INSA Lyon, co-directed with Pr Thibaud Monteiro (Director).

2021 ~ 2024  Multi-criteria optimization for the management of intensive care beds in an epidemic context, Ms.Fang Wan, DISPlab, INSA Lyon, co-directed with Pr Antoine Duclos, Dr Julien Fondrevelle

2020 ~ 2024     Simulation-based decisions and management tools for home care activities, Ms.Jiao Zhao, DISP lab, INSA Lyon,co-directed with Pr Thibaud Monteiro (Director)

• Recent publications

Fang Wan, Tao Wang, Kezhi Wang, Yuanhang Si, Julien Fondrevelle, Shuimiao Du, Antoine Duclos (2025), Surgery Scheduling Based on Large Language Models, Artificial Intelligence in Medicine, Accepted on May 2025, (JCR, Q1, Artificial Intelligence)

Fang Wan, Kezhi Wang, Tao Wang, Hu Qin, Julien Fondrevelle, Antoine Duclos (2025), Enhancing healthcare resource allocation through large language models, Swarm and Evolutionary Computation, DOI:10.1016/j.swevo.2025.101859, (JCR, Q1, Computer Science)

Yasaman Kakaei Siahkal, Nejib Moalla, Aïcha Sekhari, Tao Wang and Olivier Grasset (2025), Integrating Digital Biomarkers with Feedback-Driven Clustering for Optimized CPAP Adherence in OSA Management, SKIMA2025 (The International Conference on Software, Knowledge, Information Management and Applications), June 9-11, 2025, Paisley, UK.

Yasaman Kakaei Siahkal, Nejib Moalla, Aïcha Sekhari, Tao Wang and Olivier Grasset (2025), Dynamic Portfolio for Personalized CPAP Treatment: Adaptive Digital Biomarker-Driven Strategies Across the OSA Care Pathway, 38th IEEE CBMS (Computer-Based Medical Systems), June 18-20, 2025, Universidad Politécnica de Madrid (UPM), Madrid, Spain.

Robin Jacquot, Lijuan Ren, Tao Wang, Insaf Mellahk, Antoine Duclos, Laurent Kodjikian, Yvan Jamilloux, Dinu Stanescu, and Pascal Seve (2024), Neural Networks for Predicting Etiological Diagnosis of Uveitis, Eye (Nature), DOI: 10.1038/s41433-024-03530-2 (JCR, Q1, Medicine)

Jiao Zhao, Tao Wang, Thibaud Monteiro (2024), A bi-objective home health care routing and scheduling problem under uncertainty, International Journal of Environmental Research and Public Health, DOI: 10.3390/ijerph21030377 (JCR, Q2, Public Health)

Qingjia Sun, Rui Gao, Yingxin Lin, Xianchao Zhou, Tao Wang, Jian He (2024). Leveraging Single-Cell RNA-Seq for Uncovering Naïve B Cells Associated with Better Prognosis of Hepatocellular Carcinoma, MedComm. DOI: 10.1002/mco2.563 (JCR, Q1, Cell Biology)

Vincent Lequertier, Tao Wang, Julien Fondrevelle, Vincent Augusto, Stépahnie Polazzi, Antoine Duclos (2023) Length of stay prediction with standardized hospital data from acute and emergency care using a deep neural network, Medical Care, DOI: 10.1097/MLR.0000000000001975, (JCR, Q1, Public Health).

Fang Wan, Tao Wang, Julien Fondrevelle, Antoine Duclos (2023), Collaborative optimization of surgery and ICU under uncertainty, Expert Systems With Applications, DOI: 10.1016/j.eswa.2023.122950, (JCR, Q1, Artificial Intelligence)

Fang Wan, Julien Fondrevelle, Tao Wang, Antoine Duclos (2023), Two-stage multi-objective optimization for ICU bed allocation under multiple sources of uncertainty, Scientific Reports (Nature), DOI: 10.1038/s41598-023-45777-x (JCR, Q1, Multidisciplinary)

Lijuan Ren, Tao Wang, Aicha Sekhari, Haiqing Zhang, Abdelaziz Bouras (2023), A review on missing values for main challenges and methods, Information Systems 119(1):102268, DOI: 10.1016/j.is.2023.102268 (JCR, Q1, Computer Science)

Robin Jacquot, Pascal Sève, Timothy Jackson, Tao Wang, Antoine Duclos, Dinu Stanescu-Segall (2023). Diagnosis, classification, and assessment of the underlying etiology of uveitis by artificial intelligence: a systematic review. J. Clin. Med. 2023, 12(11), 3746; DOI:10.3390/jcm12113746 (JCR, Q1, Medicine)

Lijuan Ren, Haiqing Zhang, Aicha Sekhari Seklouli, Tao Wang, and Abdelaziz Bouras (2022). Stacking-based multi-objective ensemble framework for prediction of hypertension, Expert Systems With Applications, DOI:10.1016/j.eswa.2022.119351 (JCR, Q1, Artificial Intelligence)

Lijuan Ren, Aicha Sekhari Seklouli, Haiqing Zhang, Tao Wang, and Abdelaziz Bouras (2022). An Adaptive Laplacian Weight Random Forest Imputation for Imbalance and Mixed-Type Data, Information Systems, DOI: 10.1016/j.is.2022.102122 (JCR, Q1, Computer Science)

Vincent Lequertier, Tao Wang, Julien Fondrevelle, Vincent Augusto, Antoine Duclos (2021). Hospital length of stay prediction methods: a systematic review, Medical Care, July 26, 2021, DOI: 10.1097/MLR.0000000000001596. (JCR, Q1, Public Health)

Li, Daiwei; Zhang, Haiqing; Li, Tianrui; Bouras, Abdelaziz; Yu, Xi; Wang, Tao (2021). Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set, IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2021.3058643. (JCR, Q1 Applied Mathematics)