王晓东 博士，教授, 博士生导师
Email：wangxiaodong@qut.edu.cn
研究方向：
（1）环境大数据分析与应用
（2）污水处理与资源化工程技术
（3）智慧水务技术与装备研发
（4）污水生物处理过程模拟与控制
（欢迎市政工程、环境工程、环境科学或具有电气工程及自动化、计算机科学有工程专业背景学生报考硕士研究生或博士研究生）
个人简历：
（1）教育经历
本科：2006/09-2010/07，青岛理工大学，环境与市政工程学院；
硕士：2010/09-2013/01，青岛理工大学，环境与市政工程学院；
博士：2014/09-2018/08，挪威生命科学大学。
（2）工作经历
2016/05 – 2018/09， 挪威DOSCON公司，研发工程师、项目总监。
2018/09至今，青岛理工大学，从事教学科研工作。
课程教学：
本科：给排水工程仪表与控制、智慧水务、给水排水专业英语
研究生：污水深度处理与回用技术、水处理学术前沿
代表性教学科研项目：
（1）国家重点研发计划“华北东北村镇资源清洁利用技术综合示范”项目子课题“华北地区村镇排水管道阻塞辨识定位技术研究” （2020YFD1100303），2020.10 – 2022.12，子课题负责人。
（2 “污水生物处理过程虚拟监测模型和高级控制算法研究”（51908303），国家自然科学基金青年项目，2020.01 – 2022.12，项目负责人。
（3）“数字水务与环境大数据技术装备创新团队”，山东省高等学校青年创新团队项目，团队负责人/项目负责人，2023.01-2025.12，项目负责人
（4）“污水处理在线监测仪表异常诊断与仪表网络构建机制研究”（ZR2023ME183），山东省自然科学基金项目面上项目，2024.01-2016.12，项目负责人
（5）“Closing the Water Cycle Gap with Harmonised Actions for Sustainable Management of Water Resources”, 欧盟H2020计划WaterJPI资助项目，190万欧元，研究员。
（6）“污水中资源回收技术工艺研究（RECOVER）”，挪威研究理事会资助（项目批准号：247612），2100万挪威克朗，主要研究人员、主任工程师。
（7）“基于监测、模拟与控制的污水处理厂与污水管网一体化优化研究”，挪威研究理事会资助（项目批准号：234974)，主要研究人员。
（8）“新型污水处理工艺模拟技术研究及软件开发”，企业委托技术开发项目，50万元，项目负责人。
（9）“Graduates for Climate Change adapted water management”，欧盟Erasmus+计划资助项目，课题负责人（Work package leader）。
（10）“城镇污水处理智慧水务精确曝气与药剂精确投加系统开发研究”，企业委托技术开发项目，项目负责人。
代表性论文：
（1）Wang, X.*, Huang, M., Chen, S., Bi, X., Wang, L., 2025. Alkalinity enhanced hydrolysis of primary sludge for carbon source recovery and its impact on denitrification in wastewater treatment. Journal of Environmental Management 373, 123903. https://doi.org/10.1016/j.jenvman.2024.123903
（2）Yang, Y., Wang, X.*, Wu, Y., Li, F., Maletskyi, Z., Chen, S., Tang, M., Song, Z., 2025. Integration of soft sensors and model predictive control for denitrification at a full-scale wastewater treatment plant. Journal of Water Process Engineering 72, 107422. https://doi.org/10.1016/j.jwpe.2025.107422
（3）Ding, H., Tang, M., Huang, Q., Yang, P., Liu, Z., Bi, X., Nair, A., Wang, X.*, 2024. Soft sensor enabled real-time chemical dosing control systems for wastewater treatment: From hybrid model to full-scale application. J. Water Process Eng. 63, 105431. https://doi.org/10.1016/j.jwpe.2024.105431
（4）Rong, Y., Wang, X.*, Zhu, M., Chen, W., Maletskyi, Z., Ratnaweera, H., Bi, X., 2024. Real-time ozonation monitoring and control in wastewater tertiary treatment: An ultraviolet-visible monitoring approach. J. Water Process Eng. 64, 105664. https://doi.org/10.1016/j.jwpe.2024.105664
（5）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
（6）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
（7）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
（8）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
（9）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
（10）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
国际会议报告：
(1) Wang, X., 2025. Soft sensor enabled Carbon source dosing and ozonation control at full-scale WWTPs. The 14th IWA Conference on Instrumentation, Control and Automation, June 2025, Oslo, Norway.
(2) Wang, X., 2023Hybrid data driven and mechanistic models to control carbon dosing for denitrification at a wastewater treatment plants. IWA Water and Development Congress & Exhibition. December 2023, Kigali, Rwanda.
(3) 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
(4) 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
(5) Wang, X., 2019. Integrating Sensor Network to Enable Online Monitoring of More State Variables for Wastewater Treatment Processes. IWA Water and Development Congress & Exhibition. December 2019, Colombo, Sri Lanka.
