Dr. Sarah Goodwin

Assistant Professor

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Biography

Sarah Goodwin is a Senior Lecturer at Monash University's Embodied Visualisation research group, focusing on employing human-centric approaches to create visual solutions that enable the exploration and communication of complex, multi-dimensional geospatial data sets. Her work is aimed at developing innovative, practical solutions with immediate impact on society. Recent projects involve addressing information overload in energy network control rooms, crafting visual tools for water quality storytelling, and innovating immersive visual exploration for smart energy grid data. Sarah has over 20 years of experience in geospatial analysis and information visualisation, previously holding roles as a GIS technician and a geo-data analyst. She is actively involved in teaching various courses related to data visualisation and oversees numerous postgraduate research students. Sarah is also a member of the Monash Energy Institute and the Monash Data Futures Institute, and she co-directed the Monash Grid Innovation Hub. In recognition of her contributions, she has been awarded the IEEE InfoVis Paper Honorable Mention Award.

Research Interests

Experience

Senior Lecturer

2015-09-14 — Present

Monash University • Melbourne, Australia

Involved in research and teaching in the areas of information visualization and geospatial analysis.

Deputy Sustainable Energy theme lead

2015-09-01 — 2020-08-31

Monash Faculty of Information Technology • Melbourne, Australia

Led and coordinated research projects in sustainable energy.

GIS Technician

2000-09-01 — 2005-06-30

City, University of London • London, UK

Worked on various GIS-related projects.

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.