Dr Nina Hansopaheluwakan
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Dr Nina Hansopaheluwakan

Associate Professor in Design
Address
G04 - Wilkinson Building
The University of Sydney
Websites
Dr Nina Hansopaheluwakan

Nina Hansopaheluwakan Edward is an Associate Professor in Design at the University of Sydney, School of Architecture, Design and Planning. She teaches interaction design and visual communication units in the Bachelor of Design and Master of Interaction Design and Electronic Arts. Nina is passionate about the exploration and influence of digital interactive design, social design, semiotics, visual communication, human-centred, service design and interdisciplinary.

For over 18 years, Nina has taught in Visual Communication and Digital Interactive Design areas across Australia, the United Kingdom and Indonesia. Throughout her academic experience, she has held various leadership roles including Postgraduate Taught Director, Programme Leader, Global Collaboration Coordinator, International Short Course Program Director, Study Abroad Coordinator and Faculty Graduate Exhibition Coordinator. Nina is the Managing Editor for an international peer-reviewed journal, Information Design Journal published by John Benjamins Publishing, based in Amsterdam. She is also appointed as an External Examiner for BA (Hons) Digital Media at Coventry University in the UK, Egypt, Singapore and Malaysia.

  • Social design
  • Semiotics
  • Visual communication
  • Digital design
  • Service design
  • Interdisciplinary design
  • IDEA9202 Experience Design Studio
  • DECO1015 Visual Communication
  • DECO2101 Fundamentals of Visual Design
Project titleResearch student
Identifying Suitable Tactile Graphics Design for Visually Impaired ChildrenAnqi RONG

Publications

Journals

  • Rong, A., Hansopaheluwakan-Edward, N., Li, D. (2024). Analyzing the color availability of AI-generated posters based on K-means clustering: 74% orange, 38% cyan, 32% yellow, and 28% blue-cyan. Color Research and Application, 49(2), 234-257. [More Information]

2024

  • Rong, A., Hansopaheluwakan-Edward, N., Li, D. (2024). Analyzing the color availability of AI-generated posters based on K-means clustering: 74% orange, 38% cyan, 32% yellow, and 28% blue-cyan. Color Research and Application, 49(2), 234-257. [More Information]