Curriculum Vitae
Shaima Ibraheem Jabbar
Babylon, Iraq
Lecturer in Al Furat Al Awsat Technical university, Babylon technical Institute
Mobile: (+964)7803930254
Email: jabbar.s.i@ieee.org , shaima.jabbar18@gmail.com
EDUCATION
- 1990-1996 Higher school, Babylon-Iraq
- 1996-2001 Bachelor’s degree in Biomedical engineering, Baghdad university, Iraq.
- 2001-2004 Master’s degree in Medical engineering, Al Nahrain university, Iraq.
- 2014-2018 PhD degree in in Biomedical engineering, Keele university, UK.
EMPLOYMENT EXPERIENCES
- 2004-2005 assistance lecturer in Biomedical engineering department, Baghdad university.
- 2005-END OF 2005 assistance lecturer in electric engineering, Babylon university.
- End of 2005-2010 assistance lecturer in Babylon technical institute.
- 2010-present lecturer in Babylon technical institute.
THESIS
- PhD thesis :Automated analysis of ultrasound imaging of muscle and tendon in the upper limb using artificial intelligent methods, October 2018, Keel university, UK.
- MSc thesis: Skeletal muscle image analysis based on fuzzy logic, Feb 2004, Al Nahrain university, Iraq.
MEMBERSHIP
- Member in IEEE, member number: 95498718.
- Iraqi Engineering union.
PUPLISHED WORK
- Skeletal muscle image analysis based on fuzzy logic method, 2004, Al Nahrain university, master thesis, Baghdad, Iraq.
- Algorithm for description of image material sample, 2006, Babylon university journal, Iraq.
- Intelligent monitoring for value of blood glucose, 2009, Karbala university, Iraq.
- Using Convolutional neural network for Edge Detection in Musculoskeletal Ultrasound Images, 2016 IEEE, IJCNN.
- Automated analysis of ultrasound imaging of muscle and tendon in the upper limb using artificial intelligence methods, 2018, PhD thesis, Keele university, UK.
- A modified fuzzy C-means for medical image thresholding advanced in biomedical engineering, 2012 Asia Pacific Conference on Environment science and technology (APEST 2012), Malesia.
- Using Fuzzy Inference system for detection the edges of Musculoskeletal Ultrasound Images, this paper has been accepted in Fuzzieee2019 conference, IEEE.
- Enhancement of Panoramic Musculoskeletal Ultrasound Image based on Fuzzy Technique, this paper was published in ICICT2019, ACM.
CONFERENCE PRESENTATIONS
- Speckle Noise Reduction in Musculoskeletal Ultrasound Panoramic Imaging, 2016, MEIbioeng conference, Oxford university, UK.
- Analysis of ultrasound imaging, 2016, in 1st Crossing path conference, keele university, UK.
- Future of ultrasound imaging, 2016, in Health research conference, keele university, UK.
- Ultrasound image enhancement, 2017, in 7th Computing and Mathematics postgraduate conference, keele university, UK.
- Segmentation of skeletal muscle image using artificial intelligence tools, 2017, in 2nd Crossing path conference, keele university, UK.
- Analysis of muscle and tendon images using fuzzy techniques, 2018, in 8th Computing and Mathematics postgraduate conference, keele university, UK.
- Enhancement of Panoramic Musculoskeletal Ultrasound Image based on Fuzzy Technique, Baghdad, Iraq.
TEACHING EXPERINCES
(2004-2005) Digital image processing, Biomedical engineering department, Baghdad University.
(2005-2006) Mathletics, Electric engineering, Babylon university.
(2006-2008) Mathematics , Digital circuits and microprocessor, Babylon technical institute.
(2008-2013) electronics and microprocessor, Babylon technical institute.
(2018-present) Basic of electricity and computer application, Babylon technical institute.
WORKSHOPS AND CERTIFICATES
- Dynamic ultrasound imaging in Keele University, UK.
- Using artificial intelligent tools, Vancouver, Canada.
- 3D imaging in British computer centre, London, UK.
- Using deep learning tools in British computer centre, London, UK.
LANGUAGES
English, Arabic