م.د. شيماء جبار ابراهيم

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         

1. 1990-1996 Higher school, Babylon-Iraq
2. 1996-2001 Bachelor’s degree in Biomedical engineering, Baghdad university, Iraq.
3. 2001-2004 Master’s degree in Medical engineering, Al Nahrain university, Iraq.
4. 2014-2018 PhD degree in in Biomedical engineering, Keele university, UK.

EMPLOYMENT EXPERIENCES

1. 2004-2005 assistance lecturer in Biomedical engineering department, Baghdad university.
2. 2005-END OF 2005 assistance lecturer in electric engineering, Babylon university.
3. End of 2005-2010 assistance lecturer in Babylon technical institute.
4. 2010-present lecturer in Babylon technical institute.

THESIS

1. PhD thesis :Automated analysis of ultrasound imaging of muscle and tendon in the upper limb using artificial intelligent methods, October 2018, Keel university, UK.
2. MSc thesis: Skeletal muscle image analysis based on fuzzy logic, Feb 2004, Al Nahrain university, Iraq.

MEMBERSHIP

1. Member in IEEE, member number: 95498718.
2. Iraqi Engineering union.

PUPLISHED WORK

1. Skeletal muscle image analysis based on fuzzy logic method, 2004, Al Nahrain university, master thesis, Baghdad, Iraq.
2. Algorithm for description of image material sample, 2006, Babylon university journal, Iraq.
3. Intelligent monitoring for value of blood glucose, 2009, Karbala university, Iraq.
4. Using Convolutional neural network for Edge Detection in Musculoskeletal Ultrasound Images, 2016 IEEE, IJCNN.
5. Automated analysis of ultrasound imaging of muscle and tendon in the upper limb using artificial intelligence methods, 2018, PhD thesis, Keele university, UK.
6. 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.
7. Using Fuzzy Inference system for detection the edges of Musculoskeletal Ultrasound Images, this paper has been accepted in Fuzzieee2019 conference, IEEE.
8. Enhancement of Panoramic Musculoskeletal Ultrasound Image based on Fuzzy Technique, this paper was published in ICICT2019, ACM.

CONFERENCE PRESENTATIONS

1. Speckle Noise Reduction in Musculoskeletal Ultrasound Panoramic Imaging, 2016, MEIbioeng conference, Oxford university, UK.
2. Analysis of ultrasound imaging, 2016, in 1^st Crossing path conference, keele university, UK.
3. Future of ultrasound imaging, 2016, in Health research conference, keele university, UK.
4. Ultrasound image enhancement, 2017, in 7^th Computing and Mathematics postgraduate conference, keele university, UK.
5. Segmentation of skeletal muscle image using artificial intelligence tools, 2017, in 2^nd Crossing path conference, keele university, UK.
6. Analysis of muscle and tendon images using fuzzy techniques, 2018, in 8^th Computing and Mathematics postgraduate conference, keele university, UK.
7. 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

1. Dynamic ultrasound imaging in Keele University, UK.
2. Using artificial intelligent tools, Vancouver, Canada.
3. 3D imaging in British computer centre, London, UK.
4. Using deep learning tools in British computer centre, London, UK.

LANGUAGES

English, Arabic