Dr. Mehrdad Arashpour

Associate Professor

Build a Statement of Purpose

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

Biography

Associate Professor Mehrdad Arashpour is currently with the Civil Engineering Department at Monash University, where he leads the ASCII Lab. His research interests encompass Computer Vision, Civil Engineering, Construction Robotics, and Machine Learning Applications. He has been actively involved in Building Information Modelling (BIM), Lifecycle Analysis, and Virtual Augmented Reality. Prof. Arashpour's expertise aligns with the UN Sustainable Development Goals, contributing to global efforts to end poverty and protect the planet through the integration of artificial intelligence and sustainability practices in civil engineering. He has collaborated extensively on projects aimed at addressing construction constraints and promoting innovative practices in the housing sector, including the use of prefabricated materials and fibre-reinforced composites. His work has been recognized through various awards, including the Editor's Choice paper from the ASCE Journal of Construction Engineering Management and distinguished recognition as an Outstanding Reviewer for Elsevier Journals.

Research Interests

Experience

Associate Professor

2015-01-01 — Present

Monash University • Melbourne, Australia

Teaching and research in civil engineering with a focus on robotics and automation.

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.