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Personal profile

Biography

Dr Sarah Goodwin is a Lecturer with Monash's Data Visualisation and Immersive Analytics research group. Her work explores visual analytic solutions for complex, multi-dimensional and geospatial data sets. Her research seeks to create novel geospatial visualisation techniques and improve user-centred visualisation design methodologies.  

Sarah has an academic and professional background in geospatial analysis and information visualisation, having worked for over 17 years as a GIS technician, geo-data analyst, consultant and as an academic researcher for some of the leading research centres for spatial analysis and visualisation around the world, including the giCentre at City, University of London, UK; the g2Lab at HafenCity University, Hamburg, Germany and the Geospatial Science Department at RMIT University, Melbourne. 

This professional and academic experience includes over 9 years concentrating on energy data exploration and visualisation. At Monash, Sarah works closely with the Monash Energy Institute. Her research focuses on visual solutions for the energy sector from individual households through to solutions for control room scenarios. This includes innovative solutions for visualising energy network data and the Monash microgrid. Sarah is co-director of research for Monash Grid Innovation Hub and was previously the IT for Sustainable Energy deputy theme lead for Monash Faculty of IT. 

Sarah completed her PhD research at City, University of London, exploring residential consumer segmentation and smart home data analysis in the UK. This research exposed the effects of scale and geography on multivariate analysis through visualisation technqiues.

Sarah's work on new visualisation design methodologies, focus on the use of creativity workshops in visualisation design studies with domain experts. Along with energy analysts, Sarah has worked closely with domain experts in different fields, including epidemiologists and spatial modellers from Peter Doherty Institute, Melbourne University and Queensland University of Technology (2016-2017) to explore disease model and uncertainty visualisation for different user groups, as well as constraint programmers, within Monash's Optimisation Research Group (2015-2016), to explore visual profiling solutions for combinatorial optimisation problems.

Sarah teaches data visualisation, cartography and research skills and is an active member of the international information visualisation and geovisualisation communities. In recent years' she has published eight journal articles in the top international visualisation journal "Transactions of Visualisation and Computer Graphics". She has also presented her work at many local events and national and international conferences and has been on the organising and program committee for various international conferences, including IEEE InfoVis PC (2018, 2019), IEEE PacificVis PC (2019, 2020, 2021) and FOSS4G-Oceania Co-Chair (2018). Sarah chairs international workshop series: Urban Data Visualisation "CityVis" (2018, 2019, 2020) and Energy Data Visualisation "EnergyVis" (2020, 2021)

Research interests

  • Infovis Design Studies and Methodologies
  • Creativity Techniques and Workshops
  • Geographical Information Visualisation
  • Spatial Temporal Visual Analytics
  • Human Computer Interaction
  • Multidimensional Data Visualisation
  • Geodemographics
  • Uncertainty Visualisation
  • Energy, Smart and Micro Grid Visualisation
  • Movement and Flow Data Visualisation
  • City and Urban Data Visualisation

Monash teaching commitment

Lecturer

S1/S2 2020 (CE): FIT5147 Data Exploration and Visualisation  (postgraduate elective, manadatory for advanced Data Science pathway)

S1/S2 2019; S2 2018: FIT5125/FIT5143/FIT4005 Research Methods in Information Technology (All hons/masters/phd research component students)

 

Previously at RMIT University:

S1 2018 ONPS2335: The Professional Scientist (UG3), RMIT ONPS2334 Science Skills & Communication (UG1), and GEOM2334 Geospatial Science & Communication Skills (UG1). All Core subjects. 

S2 2017 GEOM2069 Cartography and Visualisation (RMIT) - Elective postgraduate

S1 2017 GEOM2079 Cartography 2 (RMIT) - Core UG2

Education/Academic qualification

Geographical Information Science, Doctor of Philosophy, City University London

Award Date: 14 Sep 2015

Geographical Information Systems, Master of Science, City University London

Award Date: 22 Nov 2007

Geography, Bachelor of Science (Honours), University of Manchester

Award Date: 1 Jul 2003

Research area keywords

  • Visualization
  • Analytics and big data
  • Energy
  • Computer Graphics
  • Smart grid
  • HCI
  • Smart Cities
  • Geostatistics
  • GIS
  • Spatial temporal statistics
  • Spatial cognition
  • Creativity

Network

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