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Prof.Azmi Shawkat(University of Anbar)Iraq

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Biography

Azmi Shawkat Abdulbaqi  is an academic researcher at the Renewable Energy Center, at Anbar University. He received his B.Sc. degree from the University of Technology, Baghdad, in 1991. He received his master's degree in digital image processing from Anbar University in 2003 and his Ph.D. in digital signal processing from UPSI University, Malaysia, in 2021. Dr. Abdulbaqi has conducted extensive academic research across various fields, including digital image processing (DIP), digital signal processing (DSP), the Internet of Things (IoT), the Internet of Medical Things (IoMT), cloud computing, embedded systems, and Telemedicine

Location

Ramadi, Al Anbar, Iraq

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Languges
  • Arabic
  • English
Member of other Expert Networks
Sustainable Development Goals
  • SDG1
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Subjects
  • 5G
Subjects
  • 5G
Research Interest/Publications
  1. Abdulbaqi et al., " Biometrics detection and recognition based-on geometrical features extraction", International Conference on Advance of Sustainable Engineering and its Application (ICASEA), Wasit University, Kut, Iraq pp 59-63, 2018.
  2. Abdulbaqi et al., " Robust Multichannel EEG Signals Compression Model based on Hybridization Technique",  International Journal of Engineering & Technology, 7 (4), 3402-3405, 2018.
  3. ., Abdulbaqi, A. S. et al. (2019, September). A Novel Detection System for Human Retina Based on Fuzzification Neural Network. In International Conference on Applied Computing to Support Industry: Innovation and Technology (pp. 157-170). Springer, Cham.‏
  4. Abdulbaqi et al.," Efficient ECG Data Compression and Transmission Algorithm for Telemedicine", Journal of Theoretical and Applied Information Technology(JATIT), Issue 04, Vol. 97, 2019.
  5. Abdulbaqi et al., "A Proposed Technique Based on Wavelet Transform for Electrocardiogram Signal Compression", 1st Annual International Conference on Information and Sciences (AiCIS 2019), Fallujah, Anbar, Nov., 2018.
  6. Abdulbaqi et al., "Smartphones Impact in Medical Marketing and mHealthcare for Developing Countries", Journal of Engineering and Applied Sciences 12 (22): 6057-6061, Medell Journals, (2017).
  7. Abdulbaqi et al., " Eczema Disease Detection and Recognition in Cloud Computing", International Journal of Applied Engineering Research ISSN 0973-4562 Vol. 12, Issue 24 (2017) pp. 14396-14402.
  8. Abdulbaqi et al., “Designing and Implementation of a Biomedical Module for Vital Signals Measurements Based on Embedded System” International Journal of Advanced Science and Technology (IJAST), Vol. 29, No. 3, (2020), pp. 3866 – 3877.
  9. Abdulbaqi, A.S.(2016) "Hybrid Model for  2D Hand Gesture Image Segmentation & Detection", International Journal of Information Technology and Business Management 29th , Vol.23, No.1, 2014, pp.19-26.
  10. Abdulbaqi, A.S., Mosslah ,A.A, Mahdi , R.H(2016) "TCDR based on Efficiency and Accuracy of the Intelligent Systems", International Arab Conference on Information Technology (ACIT'2016), pp. 1-9.
  11. Abdulbaqi, A.S.,(2014) "Real Time Alzheimer's Patients Location Detection Hybrid Proposed Model",  International Arab Conference on Information Technology (ACIT'2014), Dec 2014, pp. 19-24.
  12. Abdulbaqi, A.S.,(2014) "Hand Gestures Detection and Recognition Building System for Stroke Patients using Supervised Neural Networks"‏,  International Arab Conference on Information Technology (ACIT2014), Dec 2014,pp. 25-30.
  13. Abdulbaqi, A.S.,(2012) "Skin Cancer Image Segmentation & Detection by using Unsupervised", Neural Networks (UNN)", The 13th International Arab Conference on Information Technology (ACIT'2012), Dec, 2012, pp. 10-13.
  14. Abdulbaqi, A.S.,(2012), "Back propagation Neural Network Proposed Algorithm to learn deaf a Computer Commands by Hand Gestures", Journal of university of Anbar for pure science : Vol.6,No.2, 2012.
  15. Abdulbaqi, A.S.,(2018), "Factors Influencing the Healthcare Environment: Review of Mobile Healthcare Models (M-Healthcare)", Iraqi Journal of Information Technology, Vol. 8, No.3, 2018, pp. 137-152.
  16. Abdulbaqi, A.S.,(2016), " A Novel Human Computer Interaction Technique Applied For CGL Detection and Recognition", Journal of Information, Communication, and Intelligence Systems (JICIS) Vol. 2, Issue 2, Jun. 2016, pp. 18-22.
  17. Abdulbaqi, A.S. and Alani M.Sh (2016), " The Role of M-healthcare and its Impact on Healthcare Environment", International Journal of Business and ICT Edited in association with the American Society of Competitiveness, Sep., Dec., 2016, Vol.2, No.3-4.
  18. Abdulbaqi, A.S.,(2016), "A New Data Mining Proposed Scheme for Gastric Ulcers Prediction Using Neuro-Genetic Algorithm", The Fifth International Scientific Conference Of The Union of Arab Statisticians, Cairo, Feb.9 -10,2016, pp. 1-20.
  19. Abdulbaqi, A.S. and Mosslah ,A.A (2016)," Hybrid Proposed Model for Automatic License Plate Recognition and Distinction (ALPRD)", Iraqi Journal of Information Technology, Vol. 7, Issue: 2.
  20. Abdulbaqi, A.S., (2016)," Comparison between some Data Mining  Algorithms in Diagnosis of Gastric Ulcer", The 5th International Scientific Conference of Arab Statisticians (ISCAS), Cairo, Egypt.
  21. Abdulbaqi, A.S. (2018), "Biometric Identification Using An Electroencephalogram Signals Compression Based on KC Function", The 6th International Scientific Conference of the Union of Arab Statisticians, Jordan, pp. 18-30.
  22. Abdulbaqi, A.S.  et al.,” A Proposed System for Real-Time Early  Warning for Building Fire Detection Based on Embedded XBee-PRO RF Modules with Data Accuracy Appropriation- 2016- Journal of Information, Communication, and Intelligence Systems (JICIS).
  23. Abdulbaqi, A.S. et al. (2015). Real-Time Safety Automobile Driver System. International Journal of Computer Applications, 130(17).
  24. Abdulbaqi, A.S. et al. (2020, November). Electroencephalogram Signals Classification Based on Feature Normalization. In IOP Conference Series: Materials Science and Engineering (Vol. 928, No. 3, p. 032028). IOP Publishing.
  25. Abdulbaqi, A.S. et al., (2020, November). Feature Extraction and Classification of ECG Signal Based on The Standard Extended Wavelet Transform Technique: Cardiology Based Telemedicine. In IOP Conference Series: Materials Science and Engineering (Vol. 928, No. 3, p. 032029). IOP Publishing.
  26. Abdulbaqi, A.S. et al., (2020, November). Hybridization Method Based ECG Signals Classification. In IOP Conference Series: Materials Science and Engineering (Vol. 928, No. 3, p. 032030). IOP Publishing.
  27. Abdulbaqi, A.S. et al., (2020, November). Virtual Environments Utilization for ECG Signals Analysis and Evaluation: Towards Heart Condition Assessment. In IOP Conference Series: Materials Science and Engineering (Vol. 928, No. 3, p. 032031). IOP Publishing.
  28. Abdulbaqi, A.S. et al., (2020, November). A New Medical Images Encryption algorithm Based on Gold Code: Futures Trends Towards Telemedicine. In IOP Conference Series: Materials Science and Engineering (Vol. 928, No. 3, p. 032032). IOP Publishing.
  29. Abdulbaqi, A.S. et al.,(2020, December). A Tele Encephalopathy Diagnosis Based on EEG Signal Compression and Encryption. In Advances in Cyber Security: Second International Conference, ACeS 2020, Penang, Malaysia, December 8–9, 2020, Revised Selected Papers (p. 148). Springer Nature.
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