Mr Damien Neumann MProjMgmt | BEng(Hons)(Civ) is a Project Manager and Civil and Environmental Engineer with over 14 years of experience managing projects ranging from Defence to Civil, Mechanical and Electrical systems. His research interests include Project Risk Management applications of the Cynefin Framework in portfolios, programmes and projects and the use of artificial integillence and machine learning techniques with remote satellite imagery in Civil and Environmental Science research.
Damien is part of the teaching team at UniSA STEM | Project Management and teaches; Principles of Project Management, Project Risk Management and Sustainability in Project Management.
About me
Mr Damien Neumann MProjMgmt | BEng(Hons)(Civ) is a Project Manager and Civil and Environmental Engineer with over 14 years of experience managing projects ranging from Defence to Civil, Mechanical and Electrical systems. His research interests include Project Risk Management applications of the Cynefin Framework in portfolios, programmes and projects and the use of artificial integillence and machine learning techniques with remote satellite imagery in Civil and Environmental Science research.
Damien is part of the teaching team at UniSA STEM | Project Management and teaches; Principles of Project Management, Project Risk Management and Sustainability in Project Management.
About me
Australian Institue of Project Management
Project Management Institute
Engineers Australia
Project Risk Management applications of the Cynefin Framework in portfolios, programmes and projects.
The use of artificial integillence and machine learning techniques with remote satellite imagery in Civil and Environmental Science.
Research
Master's thesis: Current and emerging trends in Project Risk Management.
Honours thesis: Vegetation health monitoring along the Murray River using remote sensing.
Research
Project Risk Management applications of the Cynefin Framework in portfolios, programmes and projects.
The use of artificial integillence and machine learning techniques with remote satellite imagery in Civil and Environmental Science.
Teaching & student supervision