Dr Ghazal Bargshady is a researcher in Affective Computing and AI in healthcare at Centre for Intelligent Computing and Systems (CICS) University of Canberra. She was awarded her PhD in Artificial Intelligence and Computer Vision focusing on deep learning in pain recognition from facial expressions at the University of Southern Queensland, Springfield, in December 2020. From 2021 to 2023, she continued her research as a postdoctoral research fellow at the University of Canberra, contributing to a depression recognition project using facial expression analysis.

Dr Bargshady’s work spans several cutting-edge projects at the intersection of AI, affective computing, and healthcare. These include automated pain assessment using facial video and fNIRS signals, depression detection through visual cues, radiology image analysis, and driver affect recognition using multimodal biosignals and computer vision technologies.

Her research interests include computer vision, human factors, brain–computer interfaces, affective computing, biosignal processing, wearable sensors, multimodal data fusion, deep learning, and facial expression analysis.

Passionate about education and innovation, Dr Bargshady is dedicated to mentoring emerging researchers in AI and intelligent computational modeling, with a focus on applications in healthcare and safety. 

Current Active Project for Supervision of PhDs and Master by Research

• Driver's Distraction, Stress, Fatigue Recognition for Road Safety.
• Computer Vision, BioSignals, NeuroSignals in AI and Healthcare
• Human Factor in Health and Safety
• Wearable Sensors
• Deep Learning and Multimodal Fusioning Modeling 

Teaching Activities:
Ghazal has been lecturer, unit conviner, unit moderator for the following units at UC:

• Programming for Data Science G (11521), 
• Data Analytics and Business Intelligence (8096/8097),
• Soft Computing (7168)
• Computer Vision(11376/8890)
• Software Technology 2 (7170)
• Introduction to Data Science G (11516)