Dr. Angelo D Elia

Assistant Professor

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Biography

Angelo D'Elia is a Research Fellow at the Monash University Accident Research Centre (MUARC) with extensive experience in road safety and injury prevention. He holds Honours degrees in Mathematical Statistics and Mechanical Engineering, as well as a PhD in Public Health. Angelo is a member of the Injury Analysis Data team and has a joint appointment with the Victorian Injury Surveillance Unit (VISU) as a Statistical Consultant. His research expertise includes high-level analytical methodologies in road safety program evaluation, vehicle safety research, and the analysis of large datasets. He specializes in developing alternative measures of serious injury based on linked data, contributing to evidence-based strategies for injury prevention. Angelo's work aligns with the UN Sustainable Development Goals, particularly focusing on education and public health. He is involved in multiple ongoing projects, including evaluations of automated enforcement programs and assessments of vehicle safety initiatives, demonstrating a commitment to advancing knowledge in road safety and mitigating injury outcomes through informed research.

Research Interests

Experience

Research Fellow

2023-01-01 — Present

Monash University Accident Research Centre • Melbourne, Australia

Conducts research focused on road safety and injury prevention, developing statistical methodologies for analyzing data related to traffic incidents.

Awards

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Peter Vulcan Paper Award

2024-01-01
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MIRI Award

2013-01-01

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.