Mostafa Rahimi Azghadi
- mostafa.rahimiazghadi@jcu.edu.au
https://orcid.org/0000-0001-7975-3985- Professor, Promotional Chair
Projects
17
Publications
106
Awards
40
Contact Details
Biography
S. Mostafa Rahimi Azghadi is Professor of Electronics and Computer Engineering at James Cook University and founding Director of the JCU Centre for AI and Data Science Innovation (CADSI). His work brings together neuromorphic engineering, machine learning and computer vision to solve real-world problems in agriculture, aquaculture, health and biosecurity.
After completing his Bachelor’s in Electrical and Computer Engineering and a Master of Engineering in Computer Architecture with first-class honours, he received an IPRS and APA scholarship to pursue his PhD at the University of Adelaide, where he was awarded both the Doctoral Research Medal and the University Alumni Medal.
Since joining JCU in 2016, Professor Rahimi Azghadi has led major AI initiatives with industry, government and community partners, including AI-enabled weed and disease management in sugarcane, digital phenotyping in aquaculture, and stress and mental-health monitoring using low-cost sensors and language data. He has secured close to $20M in research funding and is ranked among the global top 2 per cent of highly cited researchers in electrical, electronic and AI-related fields.
He heads JCU’s Electrical and Electronic Engineering discipline and holds leadership roles as Deputy Director in the ARC Training Centre in Plant Biosecurity and the Agriculture Technology and Adoption Centre, and AI Leader in the ARC Research Hub for Supercharging Tropical Aquaculture. He also serves on editorial boards and IEEE technical committees in neuromorphic and AI systems.
Research
Research Interests
Artificial Intelligence, Deep Learning, Machine Learning, Neuromorphic Engineering, Nanoelectronics, Embedded Systems, Hardware Acceleration of Machine Learning Algorithms
Projects
Teaching
Teaching Interests
I teach three hands-on engineering subjects ranging from first-year programming to third-year embedded system design, in Townsville. My main teaching philosophy is to connect theory with practice. In addition, I put a strong emphasis on hands-on and project-based learning, where the students learn by doing. Furthermore, in my lectures, I always give my students examples of where and how the theoretical materials they study are applied in their everyday lives and the many electronic systems around them. This has been shown to significantly increase student’s engagement in the lectures.
Research Advisor Accreditation
Advisor Type
Mentor
