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Dr Saeed Sharif                                        PhD, MIET, CEng, AHEA, FEngA

Senior Lecturer

Computing

  • University of East London
    Docklands Campus
    University Way
    London, E16 2RD
    United Kingdom
    E16 2RD
  • s.sharif@uel.ac.uk

    Dr Saeed Sharif received his PhD in Artificial Intelligence and Medical Image Analysis from Brunel University London. He is a member of the IET and has a prestigious CEng professional status. He is a regular reviewer for a number of national and international journals and conferences such as IET Image Processing Journal, Elsevier Computers in Biology and Medicine Journal, EURASIP Journal on Image and Video Processing, IEEE Biomedical Circuits and Systems conference (BioCAS), IEEE International Symposium on Consumer Electronics (ISCE), International Conference on Information Sciences, Signal Processing and their Applications, UK Workshop on Computational Intelligence. He 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 received many academic and research awards such as ResCon2012 and Academic Mastery Certificates.



    Overview


    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).

    Collaborators

    Research

    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.
         
    Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, and Habib Zaidi. Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Advances in Fuzzy Systems, Hybrid Biomedical Intelligent Systems, vol. 2012, PP 1-10, 2012.

    Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, and Habib Zaidi. Artificial Neural Network Based System for PET Volume Segmentation. International
    Journal of Biomedical Imaging, vol. 2010, PP 1-10, 2010.

     Published Conference Papers
         
    Mhd Saeed Sharif, Rami Qahwaji, Sofyan Hayajneh, Stan Ipson, Rania Alzubaidi, and Arun Brahma. “An Efficient System for Preprocessing Confocal Corneal Images for Subsequent Analysis”, 14th UK Workshop on Computational Intelligence, 2014.

    Mhd Saeed Sharif, Maysam Abbod, and Abbes Amira, “PET Volume Analysis Based On Committee Machine for Tumour Detection and Quantification”. Proceedings of the IEEE International Conference on Developments in eSystems Engineering, DeSE2011-Special Session: Intelligent Techniques in Cancer Research, Dubai,
    December 2011.

    Mhd Saeed Sharif, Maysam Abbod, and Abbes Amira, “Neuro-Fuzzy Based Approach for Analysing 3D PET Volume”. Proceedings of the IEEE International Conference on Developments in eSystems Engineering, DeSE2011-Special Session: Intelligent Techniques in Cancer Research, Dubai, December 2011.
     
    Mhd Saeed Sharif, Maysam Abbod, Benjamin Krill, Abbes Amira, and Habib Zaidi. “Automatic PET Volume Analysis and Classification Based On ANN and BIC”. 15th
    IEEE International Symposium on Consumer Electronics (ISCE 2011), Singapore, June 2011.

    Anurag Gupta, Afandi Ahmad, Mhd Saeed Sharif, and Abbes Amira. “Rapid Prototyping of AES Encryption for Wireless Communication System on FPGA”.  15th IEEE
    International Symposium on Consumer Electronics (ISCE 2011), Singapore, June 2011.

    Shadi AlZubi, Mhd Saeed Sharif, Naveed Islam, and Maysam Abbod. “Multi-Resolution Analysis Using Curvelet and Wavelet Transforms for Medical Imaging’’.
    Proceedings of the IEEE International Symposium on Medical Measurements and Applications (MeMeA), Bari, Italy, May 2011.

    Shadi AlZubi, Mhd Saeed Sharif, and Maysam Abbod. “Efficient Implementation and Evaluation of Wavelet Packet for 3D Medical Image Segmentation’’. Proceedings of the IEEE International Symposium on Medical Measurements and Applications (MeMeA), Bari, Italy, May 2011.

    Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, and Habib Zaidi. “Novel Hybrid Approach Combining ANN and MRA for PET Volume Segmentation’’. Proceedings of the IEEE 11th Asia Pacific Conference on Circuits and Systems (APCCAS), Malaysia, December 2010.

    Mhd Saeed Sharif, Abbes Amira, and Habib Zaidi. “3D Oncological PET Volume Analysis Using CNN and LVQNN’’. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Paris, June 2010.
      
    Mhd Saeed Sharif, Abbes Amira, and Habib Zaidi. “Intelligent Approach for PET Volume Analysis’’. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Paris, June 2010.

    Hasan Taha, Abdul Sazish, Afandi Ahmad, Mhd Saeed Sharif, and Abbes Amira. “Efficient FPGA Implementation of a Wireless Communication System Using Bluetooth Connectivity’’. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Paris, June 2010.
     
    Abdul Sazish, Mhd Saeed Sharif, and Abbes Amira. “Hardware Implementation and Power Analysis of HWT for Medical Imaging”. Proceedings of the IEEE conference on electronics circuits and systems, Tunisia, December 2009.
      
    Mhd Saeed Sharif and Abbes Amira. “An Intelligent System for PET Tumour Detection and Quantification”. Proceedings of the IEEE International Conference on Image Processing, Cairo, Egypt, November 2009.

    Mhd Saeed Sharif, Abdul Sazish, and Abbes Amira. “An Efficient Algorithm and Architecture for Medical Image Segmentation and Tumour Detection”. Proceedings of the IEEE Biomedical circuits and systems conference, Baltimore, USA, November 2008.

    Extended Abstracts

    Mhd Saeed Sharif, and Maysam Abbod “Oncological Positron Emission Tomography Volume Classification Based on Artificial Intelligent Approach”. Extended Abstract,
    SED Research Student Conference, Brunel University, June 2012.

    Mhd Saeed Sharif, and Maysam Abbod “Positron Emission Tomography Volume Analysis Based on ANN”. Extended Abstract, SED Research Student Conference, Brunel University, June 2011.

    Mhd Saeed Sharif, Abbes Amira, and Maysam Abbod “Medical Volume Analysis Using Artificial Neural Network”. Extended Abstract, SED Research Student Conference, Brunel University, June 2010.

     Mhd Saeed Sharif, Abbes Amira, and Maysam Abbod. “An Intelligent System for PET Tumour Detection and Quantification”. Extended Abstract, SED Research Student Conference, Brunel University, June 2009.

    Research Talks and Presentations

    -       Research talk at Wroclaw University of Technology, 2015.

    -       Research talk at Wroclaw Medical University, 2015.

    -       IET talk, 2015.

    -      UK Workshop on Computational Intelligence, 2014.

    -       Research talk at the University of Bradford, 2013.

    -       Research Presentation. Oncological Positron Emission Tomography Volume Classification Based on Artificial Intelligent Approach. Brunel University London, 2012.

    -       Research Presentation. Positron Emission Tomography Volume Analysis Based on ANN. Brunel University London, 2011.

    -       Research Presentation. Medical Volume Analysis Using Artificial Neural Network. Brunel University London, 2010.

    -       Research Presentation. An Intelligent System for PET Tumour Detection and Quantification. Brunel University London, 2009.

    Publications