Xiaodong Wang

Education: PhD

Major/Department: Water and Environmental Engineering

Position: Associate professor

Email: wangxiaodong@qut.edu.cn

Employment track（工作履历）

2018.11—now, Associate Professor, School of Environmental and Municipal Engineering, Qingdao University of Technology

2016.07 - 2018.11， Project engineer/director, DOSCON AS, Oslo, Norway.

Professional Service （学术兼职）

1. Guest researcher, Shenzhen Institute of Advanced Technology, China Academy of Science

2. Guest editor of special issue of Processes

3.Youth editor of Water Purification

Research field（研究领域）

1. Modeling and control of wastewater treatment and resource recovery processes

2. Digital water surveillance tools and environmental big tata

3. Wastewater biological treatment

Research project（科研项目）

1. 2020-2022, Developing an alarming tool for municipal sewer clogging in rural area, Principal investigator, funded by Ministry of Science and Technology, China

2. 2019-2022, Developing soft sensing models for biological wastewater treatment process, Principal investigator, funded by National Natural Science Fund of China

3. 2020-2023, Graduates for Climate Change adapted water management, funded by EU Erasmus+,

4. 2020-2023, 3D Water Treatment Process Simulation Software Development/ Principal Investigator, funded by Beijing OBR Software Ltd

5. 2016-2019, Processes for resourcerecoveryfrom wastewater, funded by Research council of Norway.

Academic achievements（学术成果）

Journal publications

（1）Wang, X., Kvaal, K., Ratnaweera, H., 2019. Explicit and interpretable nonlinear soft sensor models for influent surveillance at a full-scale wastewater treatment plant. Journal of Process Control. 77, 1-6. https://doi.org/10.1016/j.jprocont.2019.03.005

（2）Wang, X., Bi, X., Hem, L.J., Ratnaweera, H., 2018. Microbial community composition of a multi- stage moving bed biofilm reactor and its interaction with kinetic model parameters estimation. Journal of Environmental Management. 218, 340–347. doi:10.1016/j.jenvman.2018.04.015

（3）Wang, X., Bi, X., Liu, C., Ratnaweera, H., 2018. Identifying critical components causing seasonal variation of activated sludge settleability and developing early warning tool. Water Science and Technology. 77, 1689–1697. doi:10.2166/wst.2018.053

（4）Wang, X., Kvaal, K., Ratnaweera, H., 2017. Characterization of influent wastewater with periodic variation and snow melting effect in cold climate area. Computers & Chemical Engineering. 106, 202–211. doi:10.1016/j.compchemeng.2017.06.009

（5）Wang, X., Ratnaweera, H., Holm, J.A., Olsbu, V., 2017. Statistical monitoring and dynamic simulation of a wastewater treatment plant: A combined approach to achieve model predictive control. Journal of Environmental Management. 193, 1–7. doi:10.1016/j.jenvman.2017.01.079

（6）Yang, T., Jiang, L., Han, Y., Liu, Jianwei, Wang, X., Yan, X., Liu, Junxin, 2020. Linking aerosol characteristics of size distributions, core potential pathogens and toxic metal(loid)s to wastewater treatment process. Environ. Pollut. 264, 114741. https://doi.org/10.1016/j.envpol.2020.114741

（7）Yang, T., Jiang L., Cheng L., Zheng X., Bi, X., Wang X., Zhou, X., 2021. Characteristics of size-segregated aerosols emitted from an aerobic moving bed biofilm reactor at a full-scale wastewater treatment plant. Journal of Hazardous Materials, 416,125833. https://doi.org/10.1016/j.jhazmat.2021.125833

（8）Yang, T., Jiang, L., Bi, X., Cheng, L., Zheng, X., Wang, X., Zhou, X., 2022. Submicron aerosols share potential pathogens and antibiotic resistomes with wastewater or sludge. Sci. Total Environ. 821, 153521. https://doi.org/10.1016/j.scitotenv.2022.153521

（9）Liu, X., Bi, X., Huang, Q., Wang, X., Gu, R., Zhou, X., 2021. The Changing and Distribution Laws of Oxygen Transfer Efficiency in the Full-Scale IFAS Process. Water, 13, 1–10. https://doi.org/10.3390/w13141933

（10）Wang, X., Chen, S., Bi, X., Chen, N., Yang, T., Wang, L., Maletskyi, Z., Ratnaweera, H., 2023. Morphological image analysis of biofilm evolution with quantitative analysis in a moving bed biofilm reactor. Sci. Total Environ. 856, 159199. https://doi.org/10.1016/j.scitotenv.2022.159199

Presentation/report in international conference

(1) Wang, X., 2022. Sensor network based carbon source dosing control for denitrification at a full scale wastewater treatment plant, 13th International Water Association (IWA) Conference on Instrumentation, Control and Automation. Virtual, October 2022

(2) Wang, X., 2020. A stepwise machine learning method for managing uncertainty of WWTPs caused by snow melting in cold climate, European Water Association (EWA) Conference: Water management in cold climate, Harbin, China

(3) Wang, X., 2019. Integrating Sensor Network to Enable Online Monitoring of More State Variables for Wastewater Treatment Processes. IWA Water and Development Congress & Exhibition(国际水协会发展大会). December 2019, Colombo, Sri Lanka.

(4) Wang, X., 2019. Integration of sewer wastewater characterisation and wastewater treatment plant simulation for control purpose in cold climate area. The 6th International Conference on Environmental Simulation and Pollution Control. November 2019, Beijing, China.

(5) Wang, X., 2017. Evaluation of surveillance and control strategies for wastewater treatment plants based on Life Cycle Assessment. IWA Conference on Sustainable Wastewater Treatment and Resource Recovery: Research, Planning, Design and Operation. November 2017, Chongqing, China.

(6) Wang, X., 2017. Soft sensor application for real-time monitoring of a Norwegian wastewater treatment plant. Poster presentation in 12th IWA Specialized Conference on Instrumentation, Control and Automation, Québec City, Québec, Canada.

(7) Wang, X., 2016. Systematic study of activated sludge settleability seasonal variation based on multivariate statistical analysis. European Water Association (EWA) Conference: Water management in cold climate, Spitsbergen, Norway.