Michael Di Matteo

• Appointments

  Date	Position	Institution name
  2018 - ongoing	Adjunct Lecturer	University of Adelaide
  2017 - ongoing	Environmental Engineer	Water Technology Pty Ltd
  2017 - ongoing	Environmental Engineer	Australian Water Environments Pty Ltd
  2017 - ongoing	Part Time Lecturer	University of Adelaide
  2016 - ongoing	Research Associate	University of Adelaide

• Education

  Date	Institution name	Country	Title
  2016	University of Adelaide, Adelaide	Australia	PhD Civil Engineering
  2014	University of Adelaide	Australia	LLB
  2009	University of Adelaide, Adelaide	Australia	Bachelor Engineering (1st Class Honors)

• Research Interests

  Civil Engineering Environmental Engineering Optimisation Sensor Technology Water Resources Engineering

• Journals

  Year	Citation
  2021	Liang, R., Thyer, M. A., Maier, H. R., Dandy, G. C., & Di Matteo, M. (2021). Optimising the design and real-time operation of systems of distributed stormwater storages to reduce urban flooding at the catchment scale. Journal of Hydrology, 602, 15 pages. DOI Scopus10 WoS8
  2019	Liang, R., Di Matteo, M., Maier, H. R., & Thyer, M. A. (2019). Real-Time, Smart Rainwater Storage Systems: Potential Solution to Mitigate Urban Flooding. WATER, 11(12), 23 pages. DOI Scopus19 WoS18
  2019	DiMatteo, M., Lang, R., Maier, H., Thyer, M. A., Simpson, A., & Dandy, G. (2019). Controlling rainwater storage as a system: An opportunity to reduce urban flood peaks for rare, long duration storms. Environmental Modelling and Software, 111, 34-41. DOI Scopus34 WoS31
  2019	Di Matteo, M., Maier, H., & Dandy, G. (2019). Many-objective portfolio optimization approach for stormwater management project selection encouraging decision maker buy-in. Environmental Modelling and Software, 111, 340-355. DOI Scopus30 WoS33
  2017	Di Matteo, M., Dandy, G., & Maier, H. (2017). Multiobjective optimization of distributed stormwater harvesting systems. Journal of Water Resources Planning and Management, 143(6), 04017010-1-04017010-13. DOI Scopus32 WoS27
  2017	Di Matteo, M., Dandy, G., & Maier, H. (2017). A multi-stakeholder portfolio optimization framework applied to stormwater best management practice (BMP) selection. Environmental Modelling and Software, 97, 16-31. DOI Scopus17 WoS17

• Book Chapters

  Year	Citation
  2019	Dandy, G. C., Di Matteo, M., & Maier, H. R. (2019). Optimization of WSUD Systems: Selection, Sizing and Layout. In A. Sharma, T. Gardner, & D. Begbie (Eds.), Approaches to Water Sensitive Urban Design Potential, Design, Ecological Health, Urban Greening, Economics, Policies, and Community Perceptions (pp. 303-328). Netherlands: Elsevier.
  2019	Dandy, G., Di Matteo, M., & Maier, H. (2019). Optimization of WSUD Systems: Selection, Sizing, and Layout. In A. K. Sharma, T. Gardner, & D. Begbie (Eds.), Approaches to Water Sensitive Urban Design: Potential, Design, Ecological Health, Urban Greening, Economics, Policies, and Community Perceptions (pp. 303-328). Cambridge, MA; USA: Elsevier. DOI Scopus2

Awarded ECMS Faculty Teaching Prize (Contract and Sessional) 2015

• Other Supervision Activities

  Date	Role	Research Topic	Location	Program	Supervision Type	Student Load	Student Name
  2019 - ongoing	External Supervisor	Optimal design and control of smart stormwater systems	Water Technology	-	Doctorate	-	Jerry Liang
  2018 - ongoing	External Supervisor	Smart stormwater systems optimisation	University of Adelaide	-	Honours	Full Time	Honors Group
  2018 - ongoing	External Supervisor	Smart stormwater systems optimisation	University of Adelaide	-	Master	Full Time	Masters Students

• Consulting/Advisories

  Date	Institution	Department	Organisation Type	Country
  2017 - ongoing	Australian Water Environments	Civil Environmental and Mining Engineering	-	-

• Position: Adjunct Lecturer
• Phone: 83131575
• Email: michael.dimatteo@adelaide.edu.au
• Fax: 83134359
• Campus: North Terrace
• Building: Engineering North, floor 2
• Org Unit: Environmental Engineering