Dr. David White

Associate Professor

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Biography

David White is an Associate Professor in the School of Psychology at the University of New South Wales, where he leads the Face Research Lab. His research primarily focuses on face perception and the individual differences in people's ability to perform face processing tasks. White explores how individuals perceive faces daily and how these abilities are critical for processing important social information. His studies delve into the implications of these individual differences for theoretical understanding of perceptual processing and social cognition, affecting people's everyday lives. White's work encompasses performance testing and the application of facial recognition technology, addressing the significant role of accurate face identification in critical identity management processes across various settings, including government, police work, and court systems. His interests extend to the practical applications of modern facial recognition technology and the use of Deep Neural Networks to model aspects of the human face processing system.

Research Interests

Experience

Associate Professor

2015-01-01 — Present

University of New South Wales • Sydney, Australia

Lead investigator at the Face Research Lab focusing on face perception and associated individual differences.

Requirements for University of New South Wales

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:23
Reading
Required:23
Writing
Required:23
Speaking
Required:23
Total
Required:90
PTE
Listening
Required:54
Reading
Required:54
Writing
Required:54
Speaking
Required:54
Overall
Required:64
Prerequisites
Recognised Bachelor degree Minimum 1 year relevant work experience for certain streams
Application Checklist
  • Academic Transcripts
  • Proof of English Language Proficiency
  • Curriculum Vitae (CV)
  • Personal Statement
  • Copy of Passport
Specialization Notes

Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.