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Faculty of Science, Engineering and Computing.
Penrhyn Road
Kingston upon Thames
Surrey KT1 2EE

Tel: +44 (0)20 8417 9000

Dr Olga Duran

School/Department: Mechanical and Automotive Engineering
Position: Senior Lecturer


I am currently a senior lecturer at the Mechanical and Automotive School where I am an active member of the Industrial Control Research Group and the Digital Imaging Research Centre.
Before coming to Kingston University, I was with the Communications and Signal Processing Group, at Imperial College London, and previously at the Centre of Vision, Speech and Signal Processing (CVSSP) at Surrey University in the same project. The research emphasis was in the area of remote sensing, trying to go beyond the limits of hardware resolution and in particular applied to automatic object identification with sub-pixel accuracy. In this work, I investigated computationally efficient methods for sub-pixel, real-time anomaly detection, tracking and adaptive background and endmember selection.

I completed my PhD at the Mechatronics group at King's College London. The work focused in another inaccessible application area, namely underground pipes. Progressing in this direction, my thesis pioneered a laser-based novel automated inspection system by enhancing conventional CCTV systems and applying intelligent analysis and classification techniques to the acquired images.

I have also acquired experience in an industrial environment working in several companies such as Guartel Ltd (development and implementation of advanced classification and detection algorithms into existing mine detectors), Cetecom (instrumentation and calibration), D+T Microelectronics (microelectronics, MEMS), Protovale Ltd (metal detectors).

Educational and Professional Qualifications

  • 2009 - 2011 Postgraduate Certificate in Teaching and Learning in Higher Education
  • 1999 - 2003 PhD
  • 1990 - 1996 MEng in MicroEngineering

Research Interests

My main research interests are centred on computational intelligence, signal processing and computer vision applied to remote sensed data. Projects include developing models in combination remotely sensed data to develop algorithms that can automatically inspect and detect objects in real time. Applications include feature extraction from images, hyperspectral and multispectral data analysis, audio recordings from bees, etc…

Teaching Area

Mechatronics, Computing, Computer vision, Artificial Intelligence.


    +Professional Experience



020 8417 4740