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Type about:config in Firefox address bar and hit Enter to open Settings. Search for the image.animation_mode flag and change its value from Normal to None. Once you restart Firefox this will disable animations.

Dr Akbar Sheikh Akbari

Reader

Dr Akbar Sheikh Akbari joined LBU in 2015. His research interest includes biometric identification techniques, hyperspectral image processing, colour balancing, image source camera identification, image super-resolution, image/video codecs, multiview image/video processing, assisted living technologies, deep learning, and artificial intelligence.

Dr Sheikh Akbari holds a BSc (Hons), an MSc (Distinction), and a PhD in Electronic and Electrical Engineering. After completing his PhD at Strathclyde University, he made significant contributions to an EPSRC project focused on stereo/multi-view video processing at Bristol University. His diverse career includes work in the industry, particularly in the field of real-time embedded video analytics systems. Notably, he has successfully supervised ten PhD and two MRes students, and his research output comprises over 100 peer-reviewed international journal and conference papers.

Akbar’s recent funded projects are:

Leeds Beckett University and Fathers Farm Foods Ltd, KTP23_24R3, £294,274, (2023, 33 months). Akbar Sheikh-Akbari (lead academic), Theocharis Ispoglou (academic supervisors from the School of Sport), and John George (academic supervisor from the School of Health) Developing novel hyper-spectral imaging capability to screen for aflatoxins in pistachios
Leeds Beckett University and Riverside Greetings mKTP 21_22 R4, £169,433.00, (2022, 24 months). Nick Halafihi (lead academic), Akbar Sheikh-Akbari, and Esther Pugh (academic supervisors). Project number: 10024497, Application of RFIDs for greeting cards’ asset management
KTP 10304, Innovate UK: £122,040.00, (July 2016-2018). Research, develop, and implement a scalable and modular system that monitors and analyses individual behavioral patterns and movements in a range of environments, Omega Security Systems/Leeds Beckett University. Akbar Sheikh-Akbari (academic supervisor). This Partnership was graded ‘Outstanding’ by Innovate UK

Current Teaching

L7 Vision and Image Systems (module leader)
L7 MSc Dissertation (module leader)
L7 MSc Dissertation supervision
L7 Research Practice
L7 Engineering System Control
L6 BSc and MEng Production Project supervision
L6 Digital Signal Processing
L5 Analogue Electronics (module leader)
L5 Embedded Systems
L4 Electrical and Electronics Principles 1 (module leader)
L4 Engineering System and Data Acquisition (module leader)
L4 Computer System Architecture

Research Interests

Dr Sheikh Akbari's research interest includes biometric identification techniques, hyperspectral image processing, colour balancing, image source camera identification, image super-resolution, image/video codecs, multiview image/video processing, assisted living technologies, deep learning, and artificial intelligence.