Dr. Len Hamey

Associate Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Len Hamey. Improve your application with a focused, well-structured draft.

Biography

Len Hamey is an Associate Professor at Macquarie University specializing in machine learning, computer vision, pattern recognition, and image analysis. His extensive research interests encompass applications such as signal classification, medical image analysis, and industrial inspection. He has served as the Principal Investigator on significant projects, including the Automatic Ship Classification Using Machine Learning and has collaborated with various organizations in the Defence and industrial sectors. With over 30 years of experience in university teaching, he employs innovative pedagogical approaches, such as gamification, to enhance the learning experience in computer science courses. Len has supervised numerous PhD and MRes candidates, guiding them in topics related to machine learning and image analysis, with several recent completions in deep learning applications for medical imaging and malware detection. He holds a PhD in Computer Science from Carnegie Mellon University and a BSc (Hons) in Statistics from Macquarie University.

Research Interests

Experience

Associate Professor

— Present

Macquarie University • Sydney, NSW, Australia

Lectures on computer science topics with a focus on innovative teaching methods.

Requirements for Macquarie University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:94
PTE
Listening
Required:58
Reading
Required:58
Writing
Required:58
Speaking
Required:58
Overall
Required:65
Prerequisites
Bachelor degree from a recognised institution Minimum 3 years full-time equivalent work experience at a managerial/professional level
Application Checklist
  • Official Academic Transcripts
  • Curriculum Vitae (CV)
  • Statement of Motivation
  • Evidence of Work Experience
Specialization Notes

Applied to Department of Business (MBA Program).