Research at Leeds Beckett
Dr Akbar Sheikh-Akbari
About Dr Akbar Sheikh-Akbari
Dr Akbar Sheikh Akbari is a Senior Lecturer in School of Computing, Creative Technologies & Engineering at Leeds Beckett University. He has a BSc (Hons), MSc (distinction) and PhD in Electronic and Electrical Engineering. After completing his PhD at Strathclyde University, he joined Bristol University to work on an EPSRC project in stereo/multi-view video processing. He continued his career in industry, working on real-time embedded video analytics systems. He then joined Staffordshire University as a Senior Research Officer/Lecturer in Electronic Engineering and later as the director of research centre for Applied Design for Business unit at Gloucestershire University. He has published more than 50 international journal and conference papers. He is supervising five PhD students and a as number of students have been graduated under his supervision.
Akbar has successfully supervised six PhD students in the UK and examined 8 PhD candidates from the Universities of Strathclyde, De Montfort University, London Metropolitan, University of South Wales and Anna University-Chennai.
Dr Sheikh Akbari is the academic supervisor for the following KTP project: Omega Security Systems / Leeds Beckett University, “Research, develop and implement a scalable and modular system which monitors and analyses individual behavioural patterns and movements in a range of environments”, Funder: innovate UK, 24 months, £122,040.
- BEng (Hons) Electronic and Electrical Engineering
- BEng (Hons) Food Technology
- BEng (Hons) Engineering Management (top-up)
- MEng Robotics and Automation
- MEng Computer Science
- MSc Advanced Engineering Management
- PhD Supervision
Dr Sheikh Akbari's main areas of research are: signal processing, Hyperspectral image processing, source camera identification, image/video forgery, image hashing, biometric identification techniques, e.g. iris recognition, assisted living technologies, behaviour analysis, compressive sensing, Camera tracking using retro-reflective materials, online camera calibration, standard and non-standard Image/video codecs, e.g. H.264 and HEVC, multi-view image/video processing, video analytics and real-time embedded systems, colour constancy (white balancing) techniques, resolution enhancement (super-resolution) methods, edge detection in low SNR environments, medical image processing and computer vision.