معرفی
Mohammed Hossny is a Senior Lecturer at the University of New South Wales (UNSW), specializing in the application of Artificial Intelligence to human factors and performance. With a strong academic background including a PhD from Deakin University's Institute for Intelligent Systems and Research Innovation (IISRI), he has established himself as a leading researcher in markerless motion capture, biomechanics, and AI applications in human performance analysis.
Dr. Hossny's research expertise spans several key areas:
- Artificial Intelligence applications in human factors
- Biomechanics and human performance analysis
- Markerless motion capture technologies
- Machine learning for human-computer interaction
- Computer vision for movement analysis
His scholarly output includes 30 journal articles, 75 conference papers, 3 book chapters, and 1 preprint, demonstrating a prolific research career focused on bridging the gap between advanced computing techniques and practical human performance applications. Analysis of his recent publications reveals a strong trend toward deep learning approaches for motion capture, biomechanical modeling, and human performance optimization, with particular emphasis on real-world applications in automotive design, workplace ergonomics, and sports performance.
Dr. Hossny has received recognition for his innovative work, including collaborations with Lockheed Martin on industrial exoskeleton development and contributions to award-winning projects such as the digital mannequins system that won Engineering Gold for IISRI in 2016. His research has practical applications across multiple industries including defense, automotive, and mining.
As a research supervisor, Dr. Hossny has guided students in areas of Machine Learning and Artificial Intelligence, with a focus on practical applications that address real-world human performance challenges. His work with the Motion.Lab and Centre for Intelligent Systems Research (CISR) at Deakin University has resulted in several notable projects including Vox Lumen at White Night Melbourne.
