About
Ibrahim RADWAN is an Associate Professor in Machine Learning/AI and Robotics at the University of Canberra. His research focuses on advancing AI techniques in areas such as human pose estimation, affective computing, and healthcare technology. He leads projects addressing challenges in robotics, autonomous systems, and human behavior analysis. RADWAN’s work bridges theory and application, contributing to fields like sports science, medical diagnostics, and security through innovative machine learning approaches.
Research Projects:
- Assistive Technologies for Young People Safety on Two-Wheelers
- AI-Based Methods for Driver Sentiment and Mood Prediction
- Robotics Applications in Organic Waste Management
Research Interests:
RADWAN’s expertise spans human pose reconstruction, nonverbal behavior analysis, and EEG-based healthcare diagnostics. He pioneers methods for real-world applications such as:
- 6G Extended Reality systems using wearable sensors
- Multimodal deception detection via motion analysis
- Affective computing for mood and emotion inference
Publications: His recent work emphasizes trends in spatiotemporal data analysis, few-shot learning, and synthetic data applications in healthcare and robotics. Key contributions include novel architectures like CrossFormer for 3D pose estimation and Resanet for dense prediction tasks.
Advising & Grants: RADWAN supervises PhD students and has secured grants for projects integrating AI with robotics and medical technology. His team collaborates on interdisciplinary challenges, including railway safety and surgical instrument tracking.
Labs/Teams: Part of the AI and Robotics research group at the University of Canberra, contributing to cutting-edge solutions in autonomous systems and human-centered AI.
