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 Healthcare Engineering, 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 operating theatre scheduling, bed management, emergency network configuration, cancer treatment planning, drug delivery, home care services management and medical data mining.

Education

16/9/2020 Certification to Supervise Research (HDR) in Industrial Engineering, INSA Lyon, France

2005 - 2008 Ph.D. in Computer Engineering, French Ministry scholarship, INSA Lyon, France

Recent research experience

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 

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

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

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

• Recent publications

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, Accepted on Nov 2023, (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, 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)