Dr. Sara Nabil

Assistant Professor

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Biography

Sara Nabil is an Assistant Professor at Queen's University in the School of Computing. She leads the HCI Design Studio and specializes in human-computer interaction, designing computational spaces and wearable technology. She completed her PhD at Newcastle University, focusing on interaction design, where she explored the integration of interior and fashion product design with seamless soft sensing and e-textiles. Her research delves into smart materials that are malleable and capable of changing shape and color. Sara's work has been showcased in notable exhibitions including 'Living Adaptive Architecture' at the Lakeside Arts Gallery in Nottingham and 'Persuasive Pharmacy Space' during the London Design Festival, both in 2018. Her background includes a Bachelor of Science and a Master of Science in Computing, alongside previous roles as an HCI lecturer, interior designer, and senior software developer.

Research Interests

Experience

Assistant Professor

2019-01-01 — Present

Queen's University • Kingston, ON

Leading the HCI Design Studio, focusing on designing computational spaces and interaction design.

Postdoctoral Researcher

— Present

CIL (Creative Interactions Lab), Carleton University • Ottawa, ON

Conducted research on human-computer interaction design.

HCI Lecturer

— Present

Taught courses related to human-computer interaction.

Interior Designer

— Present

Worked on interior design projects.

Senior Software Developer

— Present

Developed software solutions.

Requirements for Queen's University

Master Program
Requirements
GPA Requirement
Required:3.3
TOEFL
Listening
Required:20
Reading
Required:22
Writing
Required:24
Speaking
Required:22
Total
Required:88
IELTS
Overall
Required:7
Prerequisites
Honours Bachelor degree Background in Computing, Mathematics, Statistics, or Engineering
Application Checklist
  • Online application
  • Statement of Research Interest
  • Curriculum Vitae
  • Two academic references
  • Transcripts
Specialization Notes

Department of Computing offers research-based, project-based, and course-based patterns.