
Alexandra Psarrou
دانشیار · Deep learning methods for Image Quality Performance
University of Westminsterمعرفی
Alexandra Psarrou is a Reader in the School of Computer Science and Engineering at the University of Westminster, serving as Head of School from 2002-2019. She holds a BSc and MSc from Queen Mary University of London and a PhD from Queen Mary, London (1996). Her research focuses on dynamic vision, explainable AI, hyperspectral analysis, and image quality metrics.
- Education: BSc (1987), MSc (1988), PhD (1996)
- Roles: Reader, former Head of School, member of multiple University committees
Research interests include deep learning, reinforcement learning, and applications in cultural heritage. She founded the Computational Vision Research Group (CVRG) in 1997, advancing techniques like recurrent neural networks and kernel PCA models.
Awards include Best Paper Awards at BMVC (1999), IMECS (2008), and IS&T (2020). She led major grants like the NOESIS project (€709k) and diARTgnosis (€518k). Supervised 10+ PhD students in areas like gesture recognition and medical imaging.
- Labs/Teams: Computational Vision and Imaging Technologies Research Group
- Grants: NOESIS, diARTgnosis, HISTORIA, HEFCE NFF



