Dr. Mehdi Adibi

Assistant Professor

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Biography

Mehdi Adibi is an ARC DECRA research fellow at the Department of Physiology and the Biomedicine Discovery Institute at Monash University. He joined the Department of Physiology in September 2020, establishing the Neurodigit Lab focused on rodent electrophysiology. He previously held the NHMRC CJ Martin Early Career Fellowship at UNSW and SISSA in Italy. Mehdi obtained his PhD in Neuroscience in 2014 from UNSW, an MSc in Telecommunications Engineering in 2008 from Iran University of Science and Technology, and a BSc in Electrical Engineering (Communications) from Isfahan University of Technology, Iran. His research interests focus on neural coding and sensorimotor processing in dynamic environments, using model systems such as rodent whisker and human touch. The lab combines advanced imaging and electrophysiology technologies to study neuronal circuits during sensorimotor tasks. Mehdi is also involved in community outreach, contributing to programs that engage high school students in STEM education.

Research Interests

Experience

Research Fellow

2020-09-01 — Present

Monash University • Melbourne, Australia

Leads research in neural coding and sensorimotor processing using rodent models and advanced electrophysiological techniques.

Awards

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ARC DECRA Research Fellowship

2019-01-01
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ECVP Travel Award

2005-01-01
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FENS-IBRO/PERC Travel Award

2018-01-01
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Mark Rowe Award

2015-01-01
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NHMRC CJ Martin Early Career Fellowship

2019-01-01

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.