Publication

Journal Papers: 

• Al-Fahdawi, S., Al-Waisy, A.S., Zeebaree, D.Q., Qahwaji, R., Natiq, H., Mohammed, M.A., Nedoma, J., Martinek, R. and Deveci, M., 2024. Fundus-deepnet: Multi-label deep learning classification system for enhanced detection of multiple ocular diseases through data fusion of fundus images. Information Fusion, 102, p.102059.
• Abdulkareem KH, Al-Mhiqani MN, Dinar AM, Mohammed MA, Al-Imari MJ, Al-Waisy AS, Alghawli AS, Al-Qaness MA. MEF: multidimensional examination framework for prioritization of COVID-19 severe patients and promote precision medicine based on hybrid multi-criteria decision-making approaches. Bioengineering. 2022 Sep 8;9(9):457.
• Rahman AU, Saeed M, Saeed MH, Zebari DA, Albahar M, Abdulkareem KH, Al-Waisy AS, Mohammed MA. A framework for susceptibility analysis of brain tumours based on uncertain analytical cum algorithmic modeling. Bioengineering. 2023 Jan 22;10(2):147.
• Kumar, K., Kumar, A., Kumar, N., Mohammed, M.A., Al-Waisy, A.S., Jaber, M.M., Shah, R. and Al-Andoli, M.N., 2022. Dimensions of internet of things: Technological taxonomy architecture applications and open challenges—a systematic review. Wireless Communications and Mobile Computing, 2022(1), p.9148373.
• Kumar, K., Kumar, N., Kumar, A., Mohammed, M.A., Al-Waisy, A.S., Jaber, M.M., Pandey, N.K., Shah, R., Saini, G., Eid, F. and Al-Andoli, M.N., 2022. Identification of cardiac patients based on the medical conditions using machine learning models. Computational intelligence and Neuroscience, 2022(1), p.5882144.
• Al?Waisy AS, Ibrahim DA, Zebari DA, Hammadi S, Mohammed H, Mohammed MA, Damaševi?ius R. Identifying defective solar cells in electroluminescence images using deep feature representations. PeerJ Computer Science. 2022 May 19;8:e992.
• 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.  
•  Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Begonya Garcia-Zapirain, Salama A. Mostafa, Mashael S. Maashi, Alaa S. Al-Waisy, Mohammed Ahmed Subhi, Ammar Awad Mutlag, Dac-Nhuong Le, "A Comprehensive Investigation of Machine Learning Feature Extraction and Classification Methods for Automated Diagnosis of COVID-19 Based on X-ray Images", Computers, Materials & Continua (CMC) Journal, vol.66, no.3, 2021, pp.3289-3310, doi:10.32604/cmc.2021.012874 
•  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. 
•  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., "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.
•  Tarek A M Hamad Nagem, Rami Qahwaji, Stan Ipson, Zhiguang Wang, and Alaa S. Al-Waisy, “Deep Learning Technology for Predicting Solar Flares from (Geostationary Operational Environmental Satellite) Data,” International Journal of Advanced Computer Science and Applications (IJACSA), vol. 9, no. 1, pp. 492-498, 2018. 
•  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. 
•  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, and  Tarek A. M. Nagem, "A Multi-biometric Iris Recognition System Based on a Deep Learning Approach", Pattern Analysis and Applications-Springer., vol. 21, no. 3, pp. 1–20, 2017. 
• 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. 
• Muzhir Shaban Al-Ani and Alaa S. Al-Waisy, "Face Recognition Approach Based On Wavelet-Curvelet Technique", Signal & Image Processing: An International Journal (SIPIJ) Vol.3, No.2, April 2012. 
• Alaa S. Al-Waisy, "Ear Identification System Based on Hybrid Techniques", International Journal of Electronics Communication and Computer Engineering, Vol.3, No.5, pp. 2278 – 4209, 2012. 
•  Alaa S. Al-Waisy, "Detection and Recognition of Human Faces Based on Hybrid Techniques ", International Journal of Automation and Computing (IJAC), Vol. 5, No. 2, pp.115-126, 2012. 
•  Muzhir Shaban Al-Ani and Alaa S. Al-Waisy, "Multi-View Face Detection Based On Kernel Principal Component Analysis And Kernel Support Vector Techniques", International Journal on Soft Computing (IJSC), Vol.2, No.2, May 2011. 

Lectures

No.	Subjects	Lectures	Stage	File	Video
1	Python Programming Langauge	Introduction to Python Programming Language	Second
2	Python Programming Langauge	Fundamentals of Python Programming Language	Second
3	Python Programming Langauge	Conditional Statements and Loops in Python	Second
4	Python Programming Langauge	Data Structures and Functions in Python Programming Language	Second
5	Artificial intelligence	The role of artificial intelligence in improving and increasing the productivity of scientific resea	Postgraduate

Academic certificates

Supervision

Academic Supervision Activity.

• Al-Waisy was involved in the supervision process of three PhD students' projects and one master's project at the computer science department of Bradford University, in two different areas include, space weather and medical imaging.
• Al-Waisy Supervised over 30 BSc students.

Other

• Results-oriented software developer with 14+ years of experience developing, testing, and maintaining multiple software applications to address many challenging tasks in image processing, medical imaging, AI and computer vision.
• Al-Waisy was responsible for designing and developing up to 10 applications projects in the last 6 years using different programming languages such as Matlab, Python, HTML, CSS, and JavaScript.
• Currently, involved with a team of 5 proficient academic researchers to develop an Effective Multi-Level Segmentation of the gestational and yolk sacs using texture-based trainable models for pregnancy assessment from ultrasound images.
• In 2021, collaborated with a team of 3 software developers to develop a modern deep learning framework in robot vision for automated bean leaves diseases detection.
• 2018-2021, Al-Waisy was a principal developer for a number of medical imaging applications (e.g., Sentizer web application, COVID-DeepNet, COVID-CheXNet, Corneal Endothelium Analysis System Version 2, etc.). These applications were built using different programming languages (e.g., Matlab, Python, etc.).
• 2014-2018, Al-Waisy was a principal developer for a number of biometric systems (e.g., IrisConvNet, Multimodal Deep Face Recognition (MDFR) Framework, etc.). These applications were built using Matlab programming language.
• 2015-2018, Al-Waisy was involved in the coding process of some image processing techniques at the back-end and designing and implementing all the GUIs of the CEAS V 1.0 software. The CEAS V 1.0 software has been extensively used by ophthalmologists at Manchester Royal Eye Hospital, UK and Division of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar.
• In 2013, Al-Waisy served as lecturer of Object-Oriented Programming (OOP), web programming languages (e.g., HTML, CSS and JavaScript) at the computer science department, Al-Maarif University College.