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Dr Akbar Sheikh-Akbari


Dr Akbar Sheikh-Akbari
Contact Details
Dr Akbar Sheikh-Akbari

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School Of Built Environment, Engineering And Computing

0113 81 21767 A.Sheikh-Akbari@leedsbeckett.ac.uk

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.

Current Teaching

  • 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

Research Interests

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.

Selected Publications

Journal articles (16)

Conference contributions (1)

  • Soobhany AR; Sheikh Akbari A; Schreuders ZC (2017) Reinforced source camera identification using non-decimated wavelet transform Wuhan, China 20170513. : .
    View Repository Record

Conference proceedings (peer reviewed) (8)

  • Bruhanth Mallik; Sheikh Akbari A; Ah-Lian Kor (2018) HEVC based Mixed-resolution Stereo Video Coding for Low Bitrate Transmission. In: IEEE International Conference on Imaging Systems and Techniques Beijing/China 20171018. Beijin/china: IEEE, pp. 289-293.
    https://doi.org/10.1109/IST.2017.8261495
    View Repository Record
  • Ghaffari A; Hosseinian Far A; Sheikh Akbari A (2017) Iris Biometrics Recognition in Security Management. In: Enterprise Security. Lecture Notes in Computer Science, vol 10131. Springer, Cham 20170319. : SpringerLink, pp. 73-96.
    https://doi.org/10.1007/978-3-319-54380-2_4
  • Sheikh Akbari A; Bagheri Zadeh P; Behringer R (2015) Iris segmentation using a non-decimated wavelet transform. In: The 2nd IET International Conference on Intelligent Signal Processing, IET IET London: Savoy Place, UK 20151201. : The Institution of Engineering and Technology - The IET, pp. .
    View Repository Record
  • Sheikh Akbari A; Bagheri Zadeh P (2015) Wavelet based image enlargement technique. In: 10th International Conference on Global Security, Safety & Sustainability London, England 20150915. : Springer Verlag (Germany), pp. 182-188.
    https://doi.org/10.1007/978-3-319-23276-8_16
  • Said H; Akbari AS (2013) H.264/AVC based multi-view video codec using the statistics of block matching. In: . : , pp. 97-100.
  • Said H; Akbari AS; Moniri M (2013) An adaptive reference frame re-ordering algorithm for H.264/AVC based multi-view video codec. In: . : , pp. .
  • Akbari AS; Zadeh PB; Moniri M (2011) Stereo image representation using compressive sensing. In: . : , pp. .
    https://doi.org/10.1109/3DTV.2011.5877208
  • Akbari AS; Canagarajah N; Redmill D; Bull D (2008) Disparity compensated view filtering wavelet based multiview image codec using Lagrangian optimization. In: . : , pp. 309-312.
    https://doi.org/10.1109/3DTV.2008.4547870
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