Linda Shi

Dr Linda Shi

Office of Engineering and Information Technology

College of Engineering and Information Technology


Dr. Linda Shi is a researcher, lecturer and tutor at UniSA to support the water industry for training the next generation of water professionals. She have been teaching parts of Water quality modelling course and green infrastructuer course at UniSA.
She has a vision of bringing good water supply and services to the regional areas using her expertise in areas of online water quality monitoring, water and wastewater treatment process control and optimisation. The projects she worked on including wastewater treatment optimisation, expansion options of community wastewater treatment plants, transforming energy productivity in the water value chain, online water quality montoring and water treatment process control. 
Dr. Linda Shi’s PhD project was on the investigation of using water “fingerprint” to optimise and control water treatment processes in real time. The study improved the reliability and acceptability of online UV-Vis sensors for real-time water quality monitoring. The project also developed and produced models using machine learning for decision support of water treatment process control. Linda was previouly worked as a water infrastructure officer at the Office of the Technical Regulator for about 2 years, Department of Energy and Mining, South Australian government. She is currently also working as the Resilience and Sustainability Specalist at Goulburn Valley Water, Victorian government.
She has a good publication record in the field of online water quality monitoring and won several water and non-water awards.

Year Citation
2025 Wang, Z., Li, P., Cai, W., Shi, Z., Liu, J., Cao, Y., . . . Zheng, T. (2025). Identifying administrative villages with an urgent demand for rural domestic sewage treatment at the county level: decision making from China wisdom. Sustainability, 17(2, article no. 800), 1-19.
DOI Scopus6 WoS5
2024 Liu, J., Zhou, Z., Li, P., Wang, Z., Yan, Y., Yu, X., . . . Liu, J. (2024). Characteristics of rural domestic sewage discharge and their driving mechanisms: evidence from the Northern Region, China. Frontiers of Environmental Science and Engineering, 18(7, article no. 83), 1-12.
DOI Scopus10 WoS5
2024 Cao, Y., Wang, Z., Li, P., Zhou, Z., Li, W., Zheng, T., . . . Liu, J. (2024). Prediction of rural domestic water and sewage production based on automated machine learning in northern China. Journal of Cleaner Production, 434(140016), 1-10.
DOI Scopus16 WoS16
2024 Shi, Z., Xing, K., Rameezdeen, R., & Chow, C. W. K. (2024). Current trends and future directions of global research on wastewater to energy: a bibliometric analysis and review. Environmental Science and Pollution Research, 31(14), 20792-20813.
DOI Scopus9 WoS5 Europe PMC1
2024 Shi, Z., Chow, C. W. K., Gao, J., Xing, K., Liu, J., & Li, J. (2024). Using Surrogate Parameters to Enhance Monitoring of Community Wastewater Management System Performance for Sustainable Operations. Sensors, 24(6), 1857.
DOI Scopus4 WoS3 Europe PMC1
2023 Lyu, J., Li, W., Shi, T., Zhu, C., Yu, X., Zheng, T., . . . Liu, J. (2023). Characterization of biofilm bacterial communities in rural drainage system ancillary facilities. Results in Engineering, 20(101623), 1-9.
DOI Scopus3 WoS3
2023 Aber, S., Shi, Z., Xing, K., Rameezdeen, R., Chow, C. W. K., Hagare, D., & Jindal, T. (2023). Microbial desalination cell for sustainable water treatment: a critical review. Global Challenges, 7(10, article no. 2300138), 1-15.
DOI Scopus21 WoS17 Europe PMC2
2022 Li, P., Zheng, T., Li, L., Lv, X., Wu, W. J., Shi, Z., . . . Liu, J. (2022). Simulating and predicting the performance of a horizontal subsurface flow constructed wetland using a fully connected neural network. Journal of Cleaner Production, 380(pt. 1, article no. 134959), 1-11.
DOI Scopus19 WoS17
2022 Huang, J., Chow, C. W. K., Shi, Z., Fabris, R., Mussared, A., Hallas, G., . . . Saint, C. P. (2022). Stormwater monitoring using on-line UV-Vis spectroscopy. Environmental Science and Pollution Research, 29(13), 19530-19539.
DOI Scopus4 WoS4 Europe PMC2
2022 Shi, Z., Chow, C. W. K., Fabris, R., Liu, J., Sawade, E., & Jin, B. (2022). Determination of coagulant dosages for process control using online UV-vis spectra of raw water. Journal of Water Process Engineering, 45(102526), 1-8.
DOI Scopus34 WoS30
2022 Shi, Z., Chow, C. W. K., Fabris, R., Liu, J., & Jin, B. (2022). Applications of online UV‐Vis spectrophotometer for drinking water quality monitoring and process control: a review. Sensors, 22(8, article no. 2987), 1-21.
DOI Scopus86 WoS71 Europe PMC20
2021 Li, P., Zheng, T., Li, L., Ma, Y., Zhou, X., Shi, Z., & Liu, J. (2021). Efficiency and cost of bioecological rural wastewater treatment powered almost by wind and solar. ACS ES and T Water, 1(3), 562-572.
DOI Scopus11 WoS7
2021 Shi, Z., Chow, C. W. K., Fabris, R., Zheng, T., Liu, J., & Jin, B. (2021). Evaluation of the impact of suspended particles on the UV absorbance at 254 nm (UV₂₅₄) measurements using a submersible UV-Vis spectrophotometer. Environmental Science and Pollution Research, 28(10), 12576-12586.
DOI Scopus12 WoS5 Europe PMC3
2020 Shi, Z., Chow, C. W. K., Fabris, R., Liu, J., & Jin, B. (2020). Alternative particle compensation techniques for online water quality monitoring using UV–Vis spectrophotometer. Chemometrics and Intelligent Laboratory Systems, 204(104074), 9 pages.
DOI Scopus36 WoS31
2018 Zheng, T., Li, P., Wu, W., Liu, J., Shi, Z., Guo, X., & Liu, J. (2018). State of the art on granular sludge by using bibliometric analysis. Applied Microbiology and Biotechnology, 102(8), 3453-3473.
DOI Scopus19 WoS18 Europe PMC8
2018 Wu, Q., Hao, J., Yu, Y., Liu, J., Li, P., Shi, Z., & Zheng, T. (2018). The way forward confronting eco-environmental challenges during land-use practices: a bibliometric analysis. Environmental Science and Pollution Research, 25(28), 28296-28311.
DOI Scopus21 WoS18 Europe PMC3
2017 Zheng, T., Li, P., Shi, Z., & Liu, J. (2017). Benchmarking the scientific research on wastewater-energy nexus by using bibliometric analysis. Environmental Science and Pollution Research, 24(35), 27613-27630.
DOI Scopus21 WoS20 Europe PMC7
2016 Zheng, T., Wang, Q., Shi, Z., Fang, Y., Shi, S., Wang, J., & Wu, C. (2016). Advanced treatment of wet-spun acrylic fiber manufacturing wastewater using three-dimensional electrochemical oxidation. Journal of Environmental Sciences (China), 50, 21-31.
DOI Scopus51 WoS46 Europe PMC12
2016 Zheng, T., Wang, Q., Shi, Z., Zhang, Z., & Ma, Y. (2016). Microwave regeneration of spent activated carbon for the treatment of ester-containing wastewater. RSC Advances, 6(65), 60815-60825.
DOI Scopus22 WoS19
2016 Zheng, T., Wang, J., Wang, Q., Nie, C., Shi, Z., Wang, X., & Gao, Z. (2016). A bibliometric analysis of micro/nano-bubble related research: current trends, present application, and future prospects. Scientometrics, 109(1), 53-71.
DOI Scopus55 WoS47
2015 Zheng, T., Wang, Q., Zhang, T., Shi, Z., Tian, Y., Shi, S., . . . Wang, J. (2015). Microbubble enhanced ozonation process for advanced treatment of wastewater produced in acrylic fiber manufacturing industry. Journal of Hazardous Materials, 287, 412-420.
DOI Scopus150 WoS128 Europe PMC33
2015 Zheng, T., Wang, J., Wang, Q., Nie, C., Smale, N., Shi, Z., & Wang, X. (2015). A bibliometric analysis of industrial wastewater research: current trends and future prospects. Scientometrics, 105(2), 863-882.
DOI Scopus74 WoS63
2015 Zheng, T., Zhang, T., Wang, Q., Tian, Y., Shi, Z., Smale, N., & Xu, B. (2015). Advanced treatment of acrylic fiber manufacturing wastewater with a combined microbubble-ozonation/ultraviolet irradiation process. RSC Advances, 5(95), 77601-77609.
DOI Scopus23 WoS22
2015 Zheng, T., Wang, Q., Shi, Z., Huang, P., Li, J., Zhang, J., & Wang, J. (2015). Separation of pollutants from oil-containing restaurant wastewater by novel microbubble air flotation and traditional dissolved air flotation. Separation Science and Technology, 50(16), 2568-2577.
DOI Scopus24 WoS21

Courses I teach

  • CIVE 5085 Green Infrastructure (2025)
  • CIVE 5085 Green Infrastructure (2024)

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