البحوث العلمية

Almulla, H.K.,Mohammed, H.J.,Al-Waisy, A.S., Al-Fahdawi, S,Had, A.A.,AL-Attar, B., MotionFusion: A Robust Ensemble Learning Framework for Accurate Sensor-Based Human Activity Recognition, Iraqi Journal for Computer Science and Mathematics, 2025, 6(3), pp. 211–225

Al-Waisy, A.S.,Al-Fahdawi, S.,Mohammed, M.A., ...Arif, M.,Garcia-Zapirain, B., RETRACTED ARTICLE: COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images (Soft Computing, (2023), 27, 5, (2657-2672), 10.1007/s00500-020-05424-3), Soft Computing, 2024, 28(Suppl 1), pp. 65

Al-Fahdawi, S.,Al-Waisy, A.S.,Zeebaree, D.Q., ...Martinek, R.,Deveci, M.,Fundus-DeepNet: Multi-label deep learning classification system for enhanced detection of multiple ocular diseases through data fusion of fundus images,Information Fusion, 2024, 102, 102059.

Al-Waisy, A.S.,Al-Fahdawi, S.,Mohammed, M.A., ...Arif, M.,Garcia-Zapirain, B.,COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images, Soft Computing, 2023, 27(5), pp. 2657–2672

Mohammed, H.J., Al-Fahdawi, S., Al-Waisy, A.S., Zebari, D.A., Ibrahim, D.A., Mohammed, M.A., Kadry, S. and Kim, J., ReID-DeePNet: A Hybrid Deep Learning System for Person Re-Identification. Mathematics, 10(19), p.3530, 2022.

Al?Waisy, A.S., Ibrahim, D., Zebari, D.A., Hammadi, S., Mohammed, H., Mohammed, M.A. and Damaševi?ius, R., “Identifying defective solar cells in electroluminescence images using deep feature representations”, PeerJ Computer Science, 8, (e992). 2022.

Alaa S. Al-Waisy, Abdulrahman Alruban, Shumoos Al-Fahdawi, Rami Qahwaji, Georgios Ponirakis, Rayaz A. Malik, Mazin Abed Mohammed and Seifedine Kadry, " CellsDeepNet: A Novel Deep Learning-Based Web Application for the Automated Morphometric Analysis of Corneal Endothelial Cells " , Mathematics, vol. 10, no. 3, 20 January 2022.

Sudad H. Abed, Alaa S. Al?Waisy, Hussam J. Mohammed, Shumoos Al?Fahdawi, " A modern deep learning framework in robot vision for automated bean leaves diseases detection " , International Journal of Intelligent Robotics and Applications, 5(2021) pp. 235–251, 30 April 2021.

Alaa S. Al-Waisy, Mazin Abed Mohammed, Shumoos Al-Fahdawi, Mashael S. Maashi, Begonya Garcia-Zapirain, Karrar Hameed Abdulkareem, Salama A. Mostafa, Nallapaneni Manoj Kumar, and Dac-Nhuong Le, "COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID- 19 Pneumonia Detection in Chest X-ray Images", Computers, Materials & Continua (CMC) Journal, vol. 67, no. 2 (2021): pp. 2409-2429, 5 Feb 2021.

6. Alaa S. Al-Waisy, Shumoos Al-Fahdawi, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Salama A. Mostafa, Mashael S. Maashi, Muhammad Arif, Begonya Garcia-Zapirain, "COVID-CheXNet: Hybrid Deep Learning Framework for Identifying COVID-19 Virus in Chest X-rays Images", Sot Computing Journal-Springer, pp. 1-6, 21 Nov. 2020.

Mohammed, M.A., Abdulkareem, K.H., Al-Waisy, A.S., Mostafa, S.A., Al-Fahdawi, S., Dinar, A.M., Alhakami, W., Baz, A., Al-Mhiqani, M.N., Alhakami, H. and Arbaiy, N., 2020. Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods. IEEE Access, vol. 8, no. 1, pp. 1–17, 2020.

Adnan Khan, Saadat Kamran, Naveed Akhtar, Georgios Ponirakis, Hamad Al-Muhannadi, Ioannis N. Petropoulos, Shumoos Al-Fahdawi, Rami Qahwaji, Faheem Sartaj, Blessy Babu, Muhammad Faisal Wadiwala, Ashfaq Shuaib, and Rayaz A. Malik “Corneal Confocal Microscopy detects a Reduction in Corneal Endothelial Cells and Nerve Fibres in Patients with Acute Ischemic Stroke,” Scientific reports, vol. 8, no. 1, pp. 1–8, 2018.

9. Shumoos Al-Fahdawi, Rami Qahwaji, Alaa S. Al-Waisy, Stanley Ipson, Maryam Ferdousi, Rayaz A. Malik, and Arun Brahma, “A Fully Automated Cell Segmentation and Morphometric Parameter System for Quantifying Corneal Endothelial Cell Morphology,” Computer Methods and Programs in Biomedicine, vol. 160, pp. 11–23, 2018.

Shumoos Al-Fahdawi, Rami Qahwaji, Alaa S. Al-Waisy, Stanley Ipson, Rayaz A. Malik, Arun Brahma, and Xin Chen, “A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images,” Computer Methods and Programs in Biomedicine, vol. 135, pp. 151–166, 2016.

 Alaa S. Al-Waisy, Rami Qahwaji, Stanley Ipson, Shumoos Al-Fahdawi, "A multimodal deep learning framework using local feature representations for face recognition", Machine Vision and Applications-Springer., vol. 29, no. 1, pp. 35–54, 2017.

 Alaa S. Al-Waisy, Rami Qahwaji, Stanley Ipson, Shumoos Al-Fahdawi, "A Multi-biometric Iris Recognition System Based on a Deep Learning Approach", Pattern Analysis and Applications-Springer., pp. 1–20, 2017.

Murtadha M. and Shumoos Al-Fahdawi, "Quality Assurance Evaluation For Higher Education Institutions Using Statistical Models", IJDMS, Vol.3, No.3, DOI: 10.5121/ijdms.2011.3308, August 2011

Murtadha M. and Shumoos Al-Fahdawi, "Quality Assurance Evaluation For Programs Using Mathematical Models", ISSN: 2231-1963, IJAET, Vol.1, Issue 5, pp. 236-247, Nov 2011.

المحاضرات العلمية

التسلسل	المادة	اسم المحاضرة	المرحلة	التحميل	مشاهدة
1	رسومات الحاسبة ثنائية البعد	المقدمة	الثالثة
2	رسومات الحاسوب ثنائية الأبعاد	خوارزميات الرسم الخطي	الثالثة
3	رسومات الحاسوب ثنائية الأبعاد	خوارزميات الرسم الخطي2	الثالثة
4	رسومات الحاسوب ثنائية الأبعاد	خوارزميات رسم الدوائر	الثالثة
5	رسومات الحاسوب ثنائية الأبعاد	خوارزميات رسم الدوائر2	الثالثة
6	رسومات الحاسوب ثنائية الأبعاد	التحويل ثنائي الأبعاد1	الثالثة
7	رسومات الحاسوب ثنائية الأبعاد	التحويل ثنائي الأبعاد2	الثالثة
8	رسومات الحاسوب ثنائية الأبعاد	التحويل ثنائي الأبعاد3	الثالثة
9	رسومات الحاسوب ثنائية الأبعاد	التحويل ثنائي الأبعاد4	الثالثة
10	رسومات الحاسوب ثنائية الأبعاد	التحويل ثنائي الأبعاد5	الثالثة

الشهادات الاكاديمية

Master in Computer Science
Al-Anbar University
Anbar City, Iraq
2010-2011

PhD in Computer Science
Bradford University
Bradford City, UK
2014-2018

الاشراف

اشراف ماجستير  

Early Detection of Diabetic Neuropathy Automated Corneal Nerve AnalysisEarly Detection of Diabetic Neuropathy Automated Corneal Nerve Analysis

اخرى

Conference Papers:
1. Shumoos Al-Fahdawi, Rami Qahwaji, Alaa S. Al-Waisy, and Stanley Ipson, “An automatic corneal subbasal nerve registration system using FFT and phase correlation techniques for an accurate DPN diagnosis,” 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, pp. 1035–1041, 2015.
2. Alaa S. Al-Waisy, Rami Qahwaji, Stanley Ipson, Shumoos Al-Fahdawi, "A Fast and Accurate Iris Localization Technique for Healthcare Security System", 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, pp. 1028-1034, 2015.
3. Alaa S. Al-Waisy, Rami Qahwaji, Stanley Ipson, Shumoos Al-Fahdawi, "A Robust Face Recognition System Based on Curvelet and Fractal Dimension Transforms", 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, pp. 548-555, 2015.
4. Alaa S. Al-Waisy, Rami Qahwaji, Stanley Ipson, Shumoos Al-Fahdawi, "Multimodal Biometric System for Personal Identification Based on Deep Learning Approaches", 2017 Seventh International Conference on Emerging Security Technologies (EST), pp.163-168, 2017.
5. Alaa S. Al-Waisy, Shumoos Al-Fahdawi, Rami Qahwaji, and Rayaz A. Malik, “An Improved Version of the Corneal Endothelium Analysis System (CEAS) for Quantifying Corneal Endothelial Cell Morphology,” 3rd International Conference on Computing, Communications, and Information Technology (CCIT 2019), Al-Anbar University, Iraq, 24-25 April 2019.

Book Chapters:
? Alaa S. Al-Waisy, Shumoos Al-Fahdawi, and Rami Qahwaji, A Multi-biometric Face Recognition System Based on Multimodal Deep Learning Representations, Deep Learning in Computer Vision: Theories and Applications, Acceptance notification: April 15, 2019.
Workshops and Special Sessions:
? Alaa S. Al-Waisy, Shumoos Al-Fahdawi, and Rami Qahwaji, “International Special Session on Recent Advances in Imaging and AI Technologies for Improved Healthcare,” 3rd International Conference on Computing, Communications, and Information Technology (CCIT 2019), Al-Anbar University, Iraq, 24-25 April 2019.

Demos & Presentations:
1. Shumoos Al-Fahdawi, Rami Qahwaji, Alaa S. Al-Waisy, Stanley Ipson, Rayaz A. Malik, Arun Brahma, Xin Chen, "Automated Diagnosis of Diabetic Neuropathy from Corneal Images", The Digital Health and Wellbeing Festival at the Digital Exchange, University of Bradford, Wed. 29-Thu. 30 June, 2016.
2. Shumoos Al-Fahdawi, Rami Qahwaji, Alaa S. Al-Waisy, Stanley Ipson, Rayaz A. Malik, Arun Brahma, "A Fully Automated Cell Segmentation and Morphometric Parameter System for Quantifying Corneal Endothelial Cell Morphology", Digital Health Enterprise Zone Academic Launch Event, DHEZ Academic, Phoenix, University of Bradford, Sep. 29, 2017.
3. Alaa S. Al-Waisy, Rami Qahwaji, Stanley Ipson, Shumoos Al-Fahdawi, "A Multi-biometric Iris Recognition System Based on a Deep Learning Approach", University of Bradford, 12 Oct. 2017.

Posters:
1. Shumoos Al-Fahdawi, Rami Qahwaji, Alaa S. Al-Waisy, Stanley Ipson, Rayaz A. Malik, Arun Brahma, Xin Chen "A Fully Automatic Nerve Segmentation and Morphometric Parameter Quantification System for Early Diagnosis of Diabetic Neuropathy in Corneal Images", Accepted for presentation at the 1st Annual Innovative Postgraduate Research Conference (1st AIERC), University of Bradford, July 17, 2017.
2. Shumoos Al-Fahdawi, Rami Qahwaji, Alaa S. Al-Waisy, Stanley Ipson, Rayaz A. Malik, Arun Brahma, "Automated Diagnosis of Diabetic Neuropathy from Corneal Images " , Digital Health Enterprise Zone Academic Launch Event, DHEZ Academic, Phoenix, University of Bradford, Sep. 29, 2017.
3. Alaa S. Al-Waisy, Rami Qahwaji, Stanley Ipson, Shumoos Al-Fahdawi. "A Multimodal Deep Learning Framework Using Local Feature Representations for Face Recognition", Accepted for presentation at the 1st Annual Innovative Postgraduate Research Conference (1st AIERC), University of Bradford, July 17, 2017.
4. Rami Qahwaji, Shumoos Al-Fahdawi, Alaa Al-Waisy, Rayaz A. Malik, Maryam Ferdousi, and Arun Brahma, "Novel Imaging Technologies for the Quantification of Nerve Structures from Corneal Confocal Images ", The transformative potential of data and image analysis for eye care, The Royal Society, London, 6-9 Carlton House Terrace, April, 23-24, 2018.