Dr Nikolaos Vogiatzis

Academic Status

College of Science and Engineering

Research expertise

Over the last 15 years, I have combined my interests in high-performance computing and transport/urban research. I use city collected data to explore how people use urban environments.

Research expertise

Over the last 15 years, I have combined my interests in high-performance computing and transport/urban research. I use city collected data to explore how people use urban environments.

place Tonsley
GPO Box 2100, Adelaide 5001, South Australia

I believe that data science is more than the application of machine learning to data sets; and I believe that data science is more than a technical component of a business. To me, data science requires a holistic understanding of the business and its processes in order to identify the best research programme/s that will deliver strategically aligned, enterprise grade insights. To that end, I believe that data science is a strategic, not technical, discipline that includes technical components.

As such, I am committed to developing and implementing strategic research data science projects and programmes within business that provides organisationally aligned insights within a well-established benefits realisation framework.

Qualifications

PhD(UniSA): Transport Systems Engineering - 2008
PhD(USQ): Applied Data Science - in progress
Graduate Cerificate in Research Commercialisation (UniSA) - 2007
BSc(Ma & CompSc)(Adel) - 1996

Honours, awards and grants

Finalist, Australian Museum Eureka Awards: Innovative Use of Technology, 2011

Australia Endeavour Chueng Kong (Outgoing) Award, 2005

Best Postgraduate Research Student in the Division of Information Technology, Engineering and the Environment, 2005

David Willis Memorial Prize, 27th Australasian Transportation Research Forum, 2004

Outstanding Paper Award, EASTS 2003, 2003

Australian Postgraduate Award (Industry), 2003

Research expertise
Data format
Geographical Information Systems
Information systems
Other engineering
Urban and regional planning
Research interests

Application of Data Science, GIS, and Simulation to Smart City Analytics.

Application of Internet of Things to Urban Research

Spatial Data Imputation in Data Poor Environments

Supervisory interests
Data science
Transport systems
Urban planning and development

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