Zejian Feng

My research interests now primarily focus on utilizing machine learning models to detect neurodevelopmental disorders through the integration of visual and audio data modalities. I am currently engaged in collaborating with professor Carlo Schuengel to explore how to analyse behavioural and vocal cues extracted from videos of Strange Situation procedures (SSP). Our ultimate aim is to develop an automated pipeline for patterns of attachment behavior. Additionally, during my visit, I’m very excited about the opportunity to enhance my understanding of neurodevelopmental theories, particularly in the context of attachment relationships. I look forward to meeting and working with all of you during this period!

Background:

• Master: Data Science, School of Computing Science, University of Glasgow

• PhD: Second year PhD student in Behavioural-AI Lab, School of Computing Science, University of Glasgow