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Akbar Sheikh-Akbari

Dr. Akbar Sheikh-Akbari

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Dr. Akbar Sheikh-Akbari is an Associate Professor (Reader) in the School of Built Environment, Engineering and Computing at Leeds Beckett University. He has a BSc (Hons), MSc (distinction) and Ph.D. in Electronic and Electrical Engineering. After completing his Ph.D. at Strathclyde University, he joined Bristol University to work on an EPSRC project in stereo/multi-view video processing. He continued his career in the industry, working on real-time embedded video analytics systems. His main research interests include biometric identification techniques, colour constancy techniques, image source camera identification, hyperspectral image processing, standard and non-standard image/video codecs, e.g., H.264 and HEVC, multi-view image/video processing, image resolution enhancement methods, assisted-living technologies, compressive sensing, camera tracking using retro-reflective materials and signal processing.

Research Keywords & Expertise

iris recognition
Colour constancy (whit...
Source camera identifi...
Biometric identificati...
Image resolution enhan...

Fingerprints

Edge detection in low SNR environments
Source camera identification
iris recognition
Image resolution enhancement (super-resolution) methods

Short Biography

Dr. Akbar Sheikh-Akbari is an Associate Professor (Reader) in the School of Built Environment, Engineering and Computing at Leeds Beckett University. He has a BSc (Hons), MSc (distinction) and Ph.D. in Electronic and Electrical Engineering. After completing his Ph.D. at Strathclyde University, he joined Bristol University to work on an EPSRC project in stereo/multi-view video processing. He continued his career in the industry, working on real-time embedded video analytics systems. His main research interests include biometric identification techniques, colour constancy techniques, image source camera identification, hyperspectral image processing, standard and non-standard image/video codecs, e.g., H.264 and HEVC, multi-view image/video processing, image resolution enhancement methods, assisted-living technologies, compressive sensing, camera tracking using retro-reflective materials and signal processing.