قسم علوم الحاسوبxx

السيرة الذاتية

الاسم : محمد ابراهيم خلف

اللقب العلمي : مدرس

الديانة : مسلم

القومية : عربي

الجنسية : عراقي

الجنس : ذكر

مكان وتاريخ الولادة : العراق- الانبار -1986

الحالة الاجتماعية : متزوج

البريد الالكتروني : m.i.khalaf@uoa.edu.iq

المؤهلات العلمية

دكتوراة في علوم الحاسوب – الذكاء الاصطناعي

• 1. Peer Reviewed Academic Journal Publications
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• Mohammed Khalaf , Haya Alaskar, Abir Jaafar Hussain, Thar Baker, Zakaria Maamar4, ajkumar Buyya, Panos Liatsis, Wasiq Khan, Hissam Tawfik, Dhiya Al-Jumeily “IoT-enabled Flood Severity Prediction Based on Ensemble Machine Learning Models. ” IEEE Access, 2020.
• Mohamed Alloghani, Ahmed Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily, Mohammed Khalaf “Implementation of machine learning algorithms to create diabetic patient re-admission profiles. ” Journal of BMC Medical Informatics and Decision Making, 2019.
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• Hussain, A, Liatsis, P, Khalaf, M, Tawfik, H and Alaskar, H A Dynamic Neural Network Architecture with immunology Inspired Optimization for Weather Data Forecasting. Big Data Research, Elsevier Neurocomputing Journal, 2018. ISSN 2214-5796.
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• Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus and Ibrahim Olatunji Idowu “Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models. ” Elsevier Neurocomputing Journal, 2016.
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• Lunn, M. Khalaf, A. J. Hussain, D. Al-Jumeily, A. Pich, and S. McCarthy, “The use of serious gaming for open learning environments,” Knowledge Management & E-Learning: An International Journal (KM&EL), vol. 8, no. 1, pp. 39-54, 2016.
• • D.3. International Conference (peer-reviewed) Publications
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  • Qatan Yas, Mohammed Khalaf, “A Trusted MANET Routing Algorithm Based on Fuzzy Logic” International Conference on Applied Computing to Support Industry: Innovation and Technology, Springer, Cham, 2020.
  • SYT Mohamed Alloghani, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Mohammed Khalaf ., “The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review” International Conference on Applied Computing to Support Industry: Innovation and Technology, Springer, Cham, 2020.
  • Omar A Dawood, Mohammed Khalaf, Falath M Mohammed, Hussein K Almulla, “Design a Compact Non-linear S-Box with Multiple-Affine Transformations” International Conference on Applied Computing to Support Industry: Innovation and Technology (ACRIT), Springer, Cham, 2020.
  • Mohmood Alsaadi, Alexei Lisitsa, Mohammed Khalaf, Malik Qasaimeh “Investigating the Capability of Agile Processes to Support Medical Devices Regulations: The Case of XP, Scrum, and FDD with EU MDR Regulations” international conference in intelligent computing(ICIC), China, Springer, Cham, 2019.
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  Mohammed Khalaf, Abir Jaafar Hussain, Omar Alafandi, Dhiya Al-Jumeily, Mohamed Alloghani, Mahmood Alsaadi, Omar A Dawood, Dhafar Hamed Abd “An application of using support vector machine based on classification technique for predicting medical data sets” international conference in intelligent computing(ICIC), China, Springer, Cham,

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  • Mohammed Khalaf and Sin Y. Tan Mohamed Alloghani, Dhiya Al-Jumeily, Abir Hussain, Ahmed J. Aljaaf1,, Jamila Mustafina “THE XML AND SEMANTIC WEB: A SYSTEMATIC REVIEW ON TECHNOLOGIES ” International Conference Big Data Analytics, Data Mining and Computational Intelligence ,2019.
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  • Khalaf, M, Hussain, A, Al-Jumeily, D, Shamsa, T.M, Keight, R, Lisboa, P, Alkafri, A and Fergus, P A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. In: IEEE Congress on Evolutionary Computation, 08 July 2018 - 13 July 2018, Brazil.
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  • Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Ala S Al Kafri, Carl Chalmers, Paul Fergus, Ibrahim Olatunji Idowu “A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets” the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017.
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  • Ala S Al Kafri, Sud Sudirman, Abir J Hussain, Paul Fergus, Dhiya Al-Jumeily, Hiba Al Smadi, Mohammed Khalaf, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi, Jamila Mustafina “Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features” the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017.

  Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-

  • Jumeily, Robert Keight, Russell Keenan, Paul Fergus and Ibrahim Olatunji Idowu “The Utilisation of composite Machine Learning models for the Classification of Medical Datasets For Sickle Cell Disease” Sixth International Conference on Digital Information Processing and Communications (ICDIPC) , Lebanon, 26th – 28th April 2016
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  • Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus and Ibrahim Olatunji Idowu “The Utilisation of Machine learning Algorithms for Medical Data Analysis and Deploying Self-Care Management System for Sickle Cell Disease” Faculty of Engineering and Technology, faculty Research Week, 09- 13 May 2016, Liverpool, UK   ISSN 2398-6611
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  • Mohammed Khalaf , Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus, Haya Al-Askar, Andy Shaw, Ibrahim Olatunji Idowu “Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease” international conference in intelligent computing(ICIC), China, 2016, ISSN 0302-9743.
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  • Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus and Ibrahim Olatunji Idowu “The Utilisation of Machine learning Algorithms for Medical Data Analysis and Deploying Self-Care Management System for Sickle Cell Disease” Faculty of Engineering and Technology, faculty Research Week, 09- 13 May 2016, Liverpool, UK   ISSN 2398-6611

  Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Russell Keenan and Naeem Radi “A Framework to Support Ubiquitous

• Healthcare Monitoring and Diagnostic for Sickle Cell Disease ” international conference in intelligent computing(ICIC), China, 2015, ISSN: 0302-9743 .
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• Mohammed Khalaf, Abir Jaafar Hussain1, Dhiya Al-Jumeily1, Russell Keenan2, Paul Fergus1 and Ibrahim Olatunji Idowu “Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease” The 15th IEEE International Conference on Computer and Information Technology(CIT-2015), Liverpool, England, UK, 26-28 October 2015.
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• Ibrahim Olatunji Idowu, Paul Fergus, Abir Hussain, Chelsea Dobbins, Mohammed Khalaf, Raul V. Casana Eslava, Robert Keight “Machine Learning Algorithm in Detecting Preterm births Using EHG Records ”, Liverpool, England, UK, 26-28 October 2015.
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• Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Ibrahim Olatunji Idowu “Advance Flood Detection and Notification System based on Sensor Technology and Machine Learning Algorithm ”, 22nd International Conference on Systems, Signals and Image Processing September 10-12, 2015 London, United Kingdom, ISBN: 978-1-4673-8352-3.
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• Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Robert Keight Paul Fergus and Ibrahim Olatunji Idowu “Applied Difference Techniques of Machine learning Algorithm and Web-based Management System for Sickle Cell Disease” Developments in e-Systems Engineering (DeSE’13), Dubai, 14th – 16th December 2015.
• Ursula Lennon, Abir Jaafar Hussain, Hulya Francis, Dhiya Al-Jumeily, Paul Fergus, Mohammed Khalaf and Naeem Radi3 “The Impact of Social Media and its Utilisation by Pharmaceutical companies” Developments in e-Systems Engineering (DeSE’13), Dubai, 14th – 16th December 2015
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• Abir Hussain, Dhiya Al-Jumeily, Paul Fergus, Ursula Lennon, Naeem Radi, Mohammed Khalef (2015), The Utilisation of Social Media for Bridging the Gap between Pateints and Pharmaceutical Companies, The 22nd IEEE International Conference on Systems, Signals and Image Processing, September 10-12, 2015 London, UK, ISBN: 978-1-4673-8352-3.
• Mohammed Ibrahim Khalaf, and Azizah suliman “Flood Detection using Sensor Network and Notification via SMS and Public Network”, Student’s Conference on Research and Development ,UNITEN , Malaysia, Nov 2011.
• Mohammed Khalaf, and Azizah suliman, “Implementation of Flood Detection and Notification System Via SMS and Public Network” Malaysian Association on Research and scientists of International exhibition for the invention/innovation, Malaysia, Feb 2012.
• Dheyab, Hamid Falah, Osman Nuri Ucan, Mohammed Khalaf, and Alaa Hamid Mohammed. "Implementation a Various Types of Machine Learning Approaches for Biomedical Datasets based on Sickle Cell Disorder." In 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pp. 1-6. IEEE, 2020.
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• Alwan, Jwan K., A. Hussain, Dhafar Hamed Abd, Ahmed T. Sadiq, Mohamed Khalaf, and Panos Liatsis. "Political Arabic Articles Orientation Using Rough Set Theory with Sentiment Lexicon." IEEE Access (2021).