Ghazal Bargshady

Dr. Ghazal Bargshady is a Lecturer at the University of Canberra, with expertise in Affective Computing, Artificial Intelligence, and Healthcare Technology. Her roles include teaching units such as Computer Vision, Data Analytics, and Soft Computing, as well as supervising PhD and Master by Research students in AI-driven projects for healthcare and road safety.

Education: She earned her PhD in Artificial Intelligence and Computer Vision from the University of Southern Queensland in 2020.

Research Interests: Dr. Bargshady specializes in

• Computer Vision
• Deep Learning
• Biosignal Processing
• Facial Expression Analysis
• Human Factors in AI
• Wearable Sensors
• Multimodal Data Fusion
• Brain–Computer Interfaces

Her work addresses real-world challenges in pain assessment, depression recognition, and driver safety using cutting-edge AI models.

Article Trends: Her recent publications focus on Transformer architectures, fNIRS signal analysis, multimodal pain detection, and depression severity estimation via facial video data. These studies highlight her contributions to AI in healthcare, transportation safety, and biomedical signal processing.

Teaching Activities: Dr. Bargshady has lectured units including Programming for Data Science, Computer Vision, and Soft Computing, emphasizing practical AI applications.