- Computational Vision and Imaging Technology
About me
I am a Reader in the School of Computer Science and Engineering having served as Head of School from 2002-2019. I am a member of the Computational Vision and Imaging Technologies Research Group.
I received my BSc in Computer Science (1987) and MSc in Advanced Computer Science (1988) from Queen Mary University of London. Following my graduation I worked as a Knowledge Engineer on an AI assisted system (AICQS) for the support of UNISYS customer services (1988-1990) and as a Research Fellow on an SERC medical image interpretation project for the dynamic modelling of cancerous cells (1990-1992). The latter project initiated my interest in motion-based recognition and the analysis of visual behaviour. I received my PhD from Queen Mary, London in 1996 with a thesis on the development of parallel implemented artificial neural networks on DAP for motion-based recognition.
At the University of Westminster I founded the Computational Vision Research Group (CVRG) in 1997. CVRG’s early work focused on the use of dynamic visual information in the modelling and interpretation of objects and events in a scene, based on recurrent neural networks, multi-view Kernel PCA models and data-driven models using minimum description length. This position was also argued through the publication of a bestselling monograph “Dynamic Vision: From Images to Face Recognition” (Gong, McKenna, Psarrou 2000). In later years I worked on hypersprectral analysis for applications in cultural heritage, video annotation and unsupervised region extraction and abstraction. Most recently I have been involved with the development and evaluation of explainable deep learning models for image system performance and the metrification of image quality for automotive applications.
Throughout my career at Westminster I have been involved in the development of teaching and research strategy. During my tenure as Head of School I have successfully delivered change management through two University restructures. I have University-wide experience in academic processes and have acted as a member of a number of University and Faculty committees including: the University’s Research Committee (1997-2003), University’s Work Allocation Modelling Committee (2012-2018), University’s Curriculum Review and Innovation Committee (2016 – 2018), member of University’s Athena SWAN SAT (2012-2018), elected member of Faculty’s Research Committee (2014-2018), Chair of the Computer Science – Engineering Athena SWAN SAT (2017-2018), member of the School/Campus/Faculty Executive Group (1997-2018). I serve as member of assessment boards and validation panels both externally and internally within the University of Westminster and I have acted as PhD external and internal examiner. I am a reviewer for EU projects and Advanced HE panel member for Athena SWAN applications.
Fellowships
Senior Fellow of the Higher Education Academy (SFHEA)
Fellow of the British Computer Society (FBCS)
Research grants
NOESIS - Non-dEStructive Image- based manuscript analysis System, European Commission, 6th Framework Programme, 1 September 2004 - 31 August 2007, Grant Value: EUR 709,850. Grant value for UoW: EUR 382,000 Role: Project Coordinator, Principal Investigator and Work Package Leader.
diARTgnosis - Study of European Religious Paintings, Culture 2000, Cultural Heritage. 1 November 2000 - 1 November 2003, Grant Value: EUR 518,782, Role: Co-Principal Investigator for UoW.
HISTORIA - Heraldic Images Storing Applications, 3rd Framework Programme, 1 February 1995 - 30 April 1996, Grant Value for UoW: £62,000, Role: Co-Principal Investigator for UoW and Work Package Leader.
1998 – 2002 (£90,000) Principal Investigator of HEFCE NFF research collaboration project with Queen Mary, London on Temporal Models of Human Faces and Gestures
Teaching
Undergraduate and postgraduate teaching
Over the last 25 years I have designed and taught modules that varied from introductory programming for level 4 and postgraduate students with no computer science background to subject specialist modules in computer vision, image processing, neural networks and deep learning.
Currently I am involved in the following modules:
5COSC003W Software Development Group Project (module leader)
This module features state-of-the-art methods in software engineering practices from a managerial, technical, and process perspective. Students gain their experience of model- based software development through the software cycle. They participate in a team work based on an incremental and iterative software development methodology, gain practical experience of various professional issues such as project documentation, professional Code of Conduct, or Professional ethics.
6CCGD002W Advanced Maths and Games AI (deliver 3 lectures)
The main focus of the module is to learn how to create an automatic random game world with metrics to generate human like intelligent behaviours primarily in non-player characters (NPCs). I cover lectures on reinforcement learning and deep reinforcement learning.
4COSC001W Programming Principles I (tutorials)
An introduction to computer programming in a high-level programming language. The module concentrates on teaching the fundamentals of programming and algorithm design. I deliver tutorials in Python.
PhD Supervision
I supervise(d) the following PhD students:
Michael Walter (2002). Automatic model acquisition and recognition of human gestures, Director of studies
Vassiliki Kokla (2006). Image-based analysis of inks for art conservation, Director of studies
Natasha Angelopoulou (2011). Modelling and tracking objects with a topology preserving self-organising neural network.,Director of studies
Gaurav Gupta (2012). Visual region understanding: unsupervised extraction and abstraction, Director of studies
Thomas Weigold (2010). A Generic framework for process execution and secure multi-party transaction authorisation, 2nd supervisor
Ana Tsifouti (2016). Image usefulness of compressed surveillance footage with different scene contents Image quality quantification, 2nd supervisor
Liz Allen (2017). Image Quality Evaluation in Lossy Compressed Images, 2nd supervisor
Nicola Faramarzi (2019). A transcriptomic and molecular approach uncovering ASCL2 as a novel tumourigenic gene in breast cancer, 2nd supervisor
Hykoush Asaturyan (active). Automatic Pancreas Segmentation and 3D Reconstruction for Morphological Feature Extraction in Medical Image Analysis, 2ndsupervisor
Mr Oliver Van Zwanenberg (active). Modulation Transfer Function Determination from Pictorial Natural Scenes, 2nd supervisor
Research
My early work focused on the use of dynamic visual information in the modelling and interpretation of objects and events in a scene, based on recurrent neural networks, multi-view Kernel PCA models and data-driven models using minimum description length. This position was also argued through the publication of a bestselling monograph “Dynamic Vision: From Images to Face Recognition” (Gong, McKenna, Psarrou 2000). In later years I worked on hypersprectral analysis for applications in cultural heritage, video annotation and unsupervised region extraction and abstraction.
My current research interest ficus on the the development and evaluation of explainable deep learning models for image system performance and the metrification of image quality for automotive applications.
My main areas of interest are:
- Deep learning methods for Image Quality Performance
- Explainable learning models
- Reinforcement learning
- Hyperspectral analysis and modelling of inks and paintings for cultural heritage
Research grants
NOESIS - Non-dEStructive Image- based manuscript analysis System, European Commission, 6th Framework Programme, 1 September 2004 - 31 August 2007, Grant Value: EUR 709,850. Grant value for UoW: EUR 382,000 Role: Project Coordinator, Principal Investigator and Work Package Leader.
diARTgnosis - Study of European Religious Paintings, Culture 2000, Cultural Heritage. 1 November 2000 - 1 November 2003, Grant Value: EUR 518,782, Role: Co-Principal Investigator for UoW.
HISTORIA - Heraldic Images Storing Applications, 3rd Framework Programme, 1 February 1995 - 30 April 1996, Grant Value for UoW: £62,000, Role: Co-Principal Investigator for UoW and Work Package Leader.
1998 – 2002 (£90,000) Principal Investigator of HEFCE NFF research collaboration project with Queen Mary, London on Temporal Models of Human Faces and Gestures
Awards
1999 Best Scientific Paper Award, British Machine Vision Conference
2008 Best paper award, International MultiConference of Engineers and Computer Scientists
2020 Best paper award, IS&T International Symposium on Electronic Imaging:Image Quality and System Performance XVII : Displaying, Processing, Hardcopy, and Applications
Publications
For details of all my research outputs, visit my WestminsterResearch profile.