موقع د. شيماء ابراهيم جبار تدريسي/ة في المعهد التقني بابل

نبذة مختصرة
Dr.Shaima has PhD in biomedical engineering from Keele university, UK. She is currently lecturer in Babylon technical institute.She interested of using artificial intelligence in the medical applications
Card image cap
من مواليد 1978

السيرة الشخصية
Presenting at IEEE, ICICT2021, Iraq Presenting at IBICITS, 2021, Iraq
الشهادات الحاصل عليها
2014-2018 PhD degree in in Biomedical engineering, Keele university

الاهداف الخطط المستقبلية
Developing health system based o using artificial intelligent tools
السيرة المهنية في المؤسسة
EMPLOYMENT EXPERIENCE End of 2005-2010 assistance lecturer in Babylon technical institute. . 2010-2021 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. Automated analysis of ultrasound imaging of muscle and tendon in the upper limb using artificial intelligent methods,PhD thesis, October 2018, Keel university, UK. 3. Algorithm for description of image material sample, 2006, Babylon university journal, Iraq. 4. Intelligent monitoring for value of blood glucose, 2009, Karbala university, Iraq. 5. Using Convolutional neural network for Edge Detection in Musculoskeletal Ultrasound Images, 2016 IEEE, IJCNN. 6. Automated analysis of ultrasound imaging of muscle and tendon in the upper limb using artificial intelligence methods, 2018, PhD thesis, Keele university, UK. 7. 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. 8. A new classification of Non-Aneurysmal SubArachnoid Haemorrhage (NASAH)- single-centre experience of 450 patients, NTERNATIONAL JOURNAL OF STROKE, 2018 9. Deep Venous Thrombosis (DVT) after stroke. Effective Prophylactic measures, CEREBROVASCULAR DISEASES, 2018 10. Using Fuzzy Inference system for detection the edges of Musculoskeletal Ultrasound Images, this paper has been accepted in Fuzzieee2019 conference, IEEE. 11. 11.Enhancement of Panoramic Musculoskeletal Ultrasound Image based on Fuzzy Technique, this paper was published in ICICT2019, ACM. 12. Automated enhancement of MRI video imaging, AICT IEEE, Azerbaijan, Baku, 2019 13. Automated Analysis of Fatality Rates for COVID 19 across Different Countries, ELSIVER, 2020 14. Non-Aneurysmal Subarachnoid Haemorrhage (NASAH): The Role of Spinal Imaging in the management Pathway SingleCentreExperience in journal of cardiovascular disease, 2020, 11(4). 15. Automated reduction the speckle noise of the panoramic ultrasound images of Muscles and Tendons, IOP, 2020,1660. 16. Automated measurements of morphological parameters of muscles and tendons, Biomedical physics and engineering express Journal, 7(2), IOP, 2021. 17. Early Prediction of Diabetic type 2 based on Fuzzy Technique, Biomedical physics and engineering express Journal, 7(2), IOP, 2021, CONFERENCE PRESENTATIONS 1. Speckle Noise Reduction in Musculoskeletal Ultrasound Panoramic Imaging, 2016, MEIbioeng conference, Oxford university, UK. 2. Analysis of ultrasound imaging, 2016, in 1st Crossing path conference, keele university, UK. 3. Future of ultrasound imaging, 2016, in Health research conference, keele university, UK. 4. Using Convolutional neural network for Edge Detection in Musculoskeletal Ultrasound Images, 2016 IEEE, IJCNN, Vancouver, Canada. 5. Ultrasound image enhancement, 2017, in 7th Computing and Mathematics postgraduate conference, keele university, UK. 6. Segmentation of skeletal muscle image using artificial intelligence tools, 2017, in 2nd Crossing path conference, keele university, UK. 7. Analysis of muscle and tendon images using fuzzy techniques, 2018, in 8th Computing and Mathematics postgraduate conference, keele university, UK. 8. Enhancement of Panoramic Musculoskeletal Ultrasound Image based on Fuzzy Technique, Baghdad, Iraq. 9. Automated enhancement of MRI video imaging, AICT IEEE, Azerbaijan, Baku, 2019 10. Third International Creativity and Innovation conference 2020, Babylon university, Iraq. 11. MRI video edge detection based on Fuzzy inference technique, 14thAICT IEEE, Uzbekistan, 2020 12. Interpretation of the Case Fatality Rates of COVID-19 in Iraq, ICARPAS, 2021, Iraq. 13. 20.Automated Ultrasound Video Enhancement, IEEE, ICICT2021, Iraq. 14. 21.A PROACTIVE TIME MANAGEMENT APPROACH IN THE STROKE SERVICE EVALUATION, IEEE, BICITS 2021. TEACHING EXPERINCES (2004-2005) Digital image processing, Biomedical engineering department, Baghdad University. (2005-2006) Mathematics, Electric engineering, Babylon university. (2006-2008) Mathematics , Digital circuits, microprocessor, Babylon technical institute. (2008-2013) electronics, microprocessor, Babylon technical institute. (2018-present) Basic of electricity, 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. 5. Member in website committee in Third International Creativity and Innovation 6. Member of the Website Committee at the Third International Conference on Creativity and Innovation, Iraq, Babylon 2020 7. Member of the Scientific Committee of the First International Conference of the College of Nursing 2020 at Al-Qadisiyah University, Iraq, Babylon 8. Head of the Reception Committee at the Third International Conference on Creativity and Innovation, Iraq, Babylon 2021 LANGUAGES English, Arabic

الروابط الى حساباتي في المواقع الاكاديمية
معلومات التواصل

أسكن في Babylon, Iraq Lecturer in Al Furat Al Awsat Technical university, Babylon technical Institute

البريد الالكتروني : shaima.jabbar@atu.edu.iq

الموبايل : 07803930254

البحوث الاكاديمية