Saeed Sharif

Dr Saeed Sharif

Senior Lecturer

Computer Science

Department of Engineering & Computing , School of Architecture Computing and Engineering (ACE)

Dr Saeed Sharif is the Course Leader for MSc Computer Science and MSc Computer Science with industrial placement at the School of Architecture, Computing and Engineering. He has a PhD in artificial intelligence from Brunel University London, and is a Fellow of The UK Higher Education Academy, and member of the British Computer Society.

Areas Of Interest

Artificial Intelligence, Innovative Tele-Health, Medical Technology, Digital Health Care and Medical Assistive Technology, Medical Image Analysis and Visualisation, Intelligent Diagnosis Systems, Smart Biomedical Image and Bio Signal Acquisition (MRI, PET, EEG).

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OVERVIEW

Dr Saeed Sharif is the Course Leader for Msc Computer Science and Msc Computer Science with industrial at the school of architecture, computing and engineering. He has a PhD in artificial intelligence from Brunel University London.

His research interests and expertise include: Artificial Intelligence, Innovative Tele-Health, Medical Technology, Digital Health Care and Medical Assistive Technology, Medical Image Analysis and Visualisation, Intelligent Diagnosis Systems, Smart Biomedical Image and Bio Signal Acquisition (MRI, PET, EEG).

He is working closely with clinicians and policy makers nationally and internationally to improve the clinical settings and the healthcare systems. He has led the research development of different research projects associated with many industries and NHS trusts. He has developed his research with the goal of improving the effectiveness, efficiency of medical and health care systems.

Dr Saeed is a member of the technical committee of a number of international conferences such as IEEE International Conference on Computer Systems and Applications and IEEE International Conference on Computer and Information Technology. He participated in many national and international conferences e.g. ICIP. He has served as a reviewer for many journals e.g. IET IPJ, Elsevier CBMJ.

He is Guest Editor at an international journal. He has published more than 53 technical papers and articles in highly reputable journals, international conferences and book chapters, such as Elsevier Applied Soft Computing, Computer Methods and Programs in Biomedicine, IEEE Access etc.

He received many academic and research awards. He is a Fellow of The UK Higher Education Academy, and member of the British Computer Society.

CURRENT RESEARCH

Dr Saeed Sharif's research interests and expertise include but are not limited to:

  • Innovative Tele-Health and Medical Technology
  • Digital Health Care and Medical Assistive Technology
  • Medical Image Analysis and Visualisation.
  • Intelligent Systems and Medical Data Analysis.
  • Computer Aided Diagnostic Systems: e.g. Oncological Volumetric PET Tumour Analysis.
  • Bio signal Acquisition and Analysis (EEG, ECG).

PUBLICATIONS

Published Journal Papers

  • Mhd Saeed Sharif, Rami Qahwaji, Stan Ipson, and Arun Brahma. Medical Image Classification Based on Artificial Intelligence Approaches: A Practical Study on Normal and Abnormal Confocal Corneal Images. Applied Soft Computing, Elsevier, 2015.
  • Mhd Saeed Sharif, Rami Qahwaji, Ehsan Shahamatnia, Stan Ipson, and Arun Brahma. An Efficient Intelligent Analysis System for Confocal Corneal Endothelium Images. Computer Methods and Programs in Biomedicine, Elsevier, 2015.
  • Rania Alzubaidi, Mhd Saeed Sharif, Rami Qahwaji, Stan Ipson, Arun Brahma. In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases. British Journal of Ophthalmology, 2015.
  • Mhd Saeed Sharif, Maysam Abbod, Luke I Sonoda, and Bal Sanghera. Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study. British Journal of Applied Science & Technology, 4(4): 634-649, 2014.   
  • Abdulhakim Elbita, Rami Qahwaji, Stanley Ipson, Mhd Saeed Sharif and Faruque Ghanchi, Preparation of 2D Sequences of Corneal Images for 3D Model Building, Computer Methods and Programs in Biomedicine, Elsevier, 114(2):194-205, ISSN 0169-2607, April 2014.

MODULES

  • Artificial Intelligence & Machine Vision
  • Research Methods
  • Master Dissertation
  • Software Development
  • Information Systems Modelling and Design
  • Introduction to computing
  • Project Management