Project: Artificial neural networks for the model predictive control of urban drainage networks & wastewater treatment plants
Supervisors: Professors Slobodan Djordjevic and David Butler
Industrial Supervisors: Dr Ole Mark and Prof Henrik Madsen, DHI
Ari graduated from the University of Exeter in 2018 with an MSci in Natural Sciences. During his degree he explored his academic interests in computer science, catchment hydrology, and environmental science. For his masters research project he worked with the Exeter Reflectance Transformation Imaging (RTI) Group as a computer scientist to improve the accuracy and efficiency of this novel 3D imaging technique.
Through outdoor pursuits such as surfing, kayaking, and caving, Ari has developed a keen interest in maintaining the quality of natural water resources. He intends to use his PhD to support these interests; by providing forecasts of discharge and pollutant load to wastewater treatment plants he hopes to reduce the frequency and severity of combined sewer overflows. Using powerful open source machine learning libraries combined with industry standard hydrodynamic catchment models he hopes to produce a real time control tool for exploitation in industry.
- Machine Learning & AI
- Factors effecting water quality
- Urban drainage and catchment hydrology
- Karst hydrodynamics