About Me
As an active researcher in Machine Learning, Artificial Intelligence, and Computer Vision, I am dedicated to advancing systems that learn to perceive, analyze, and interpret complex data, including images, videos, text, and audio, across real-world environments. My research centers on modeling human behavior, physiological responses, and contextual understanding as part of AI-driven solutions for healthcare, safety, and human-computer interaction.
With a strong track record in both academia and industry, I have led and contributed to cutting-edge research in human-centered AI, multimodal data fusion, and automated decision-making systems. I have successfully supervised PhD, MSc, and undergraduate students, equipping them with practical and theoretical expertise in machine learning and AI to solve real-world challenges.
Contact
ibrahim.radwan@canberra.edu.au
+61 40-6559-248
University of Canberra, ACT, Australia
Research Interests
- Computer Vision
- Human-Object Interaction
- Multimodal Data Fusion
- Human-Centered AI
Recent News
New Research Grant Awarded
February 2025
Secured AUD 600,000+ for "Assistive technology on two-wheelers for Improved Road Safety" from the Australian Government’s Department of Infrastructure, Transport, Regional Development, Communications and the Arts.
Publication Chair and LBR Chair of ACII 2025 and ICMI 2025 respectively.
May 2025
Delivered keynote on "Cross-Domain Learning for Affective Computing" at the 13th International Conference on Affective Computing and Intelligent Interaction.
Best Supervisory Award Nomination
December 2023
Received the Best Supervisory Award nominated by postgraduate students at the University of Canberra.