Cheng Yang | Student
2016, B.E. Environmental Engineering, Zhejiang University, Hangzhou, China
2018, M.S.E. Environmental Engineering, University of Michigan, Ann Arbor, US
Dr. Glen Daigger, Civil & Environmental Engineering, University of Michigan
Cheng’s research focuses on smart wastewater system, including sensor data mining, wastewater process modeling, and control. Topics include (1) Extracting useful information from flawed sensor data; (2) Incorporating machine learning into wastewater process modeling (3) Developing bioprocess control by reinforcement learning
Yang, C., Daigger, G. T., Belia, E., & Kerkez, B. (2020). Extracting useful signals from flawed sensor data: Developing hybrid data-driven approaches with physical factors. Water Research, 185, 116282.
Wang, R., Yang, C., Wang, W. Y., Yu, L. P., & Zheng, P. (2020). An efficient way to achieve stable and high-rate ferrous ion-dependent nitrate removal (FeNiR): Batch sludge replacement. Science of The Total Environment, 139396.
Yang, C., Barrott, W., Busch, A., Mehrotra, A., Madden, J., & Daigger, G. T. (2019). How much data is required for a robust and reliable wastewater characterization?. Water Science and Technology, 79(12), 2298-2309.
Wang, R., Yang, C., Zhang, M., Xu, S. Y., Dai, C. L., Liang, L. Y., ... & Zheng, P. (2017). Chemoautotrophic denitrification based on ferrous iron oxidation: reactor performance and sludge characteristics. Chemical Engineering Journal, 313, 693-701.
Wang, R., Zheng, P., Ding, A. Q., Zhang, M., Ghulam, A., Yang, C., & Zhao, H. P. (2016). Effects of inorganic salts on denitrifying granular sludge: The acute toxicity and working mechanisms. Bioresource technology, 204, 65-70.