معرفی
Tao Shi is a Research Scholar at the Australian Centre for Water and Environmental Biotechnology (AWEB), University of Queensland, specializing in sewer infrastructure research. His work addresses critical challenges in urban water systems through advanced modeling and data-driven approaches.
His research spans Environmental Engineering and Water Resources Management, with core expertise in sewer corrosion control, airflow dynamics modeling, and inflow/infiltration analysis. He integrates mathematical modeling (including ODE-based systems), time series anomaly detection, and sensor data analytics to develop practical solutions for sewer network resilience. Current projects focus on temperature-conductivity monitoring systems and ventilation control strategies to mitigate hydrogen sulfide corrosion.
Recent publications (2023-2025) reveal a strong trajectory in computational sewer engineering, with emphasis on differentiating biological/chemical corrosion mechanisms and optimizing real-time monitoring. His work bridges environmental science with machine learning applications for urban infrastructure.
Tao Shi is supervised by Prof Zhiguo Yuan and Dr Jiuling Li on his primary project 'Airflow and temperature modelling for sewers' (2021-2025) and contributes to the Australian Research Council project 'Reducing sewer corrosion through model-supported ventilation control' (2021-2024).
He operates within AWEB's collaborative ecosystem, leveraging the Centre's expertise in water biotechnology and infrastructure innovation to address global wastewater challenges.
