Dr. Mazin Abed Mohammed

Lecturer
University of Anbar

Highest Degree
Ph.D. in Information and Communication Technology from Universiti Teknikal Malaysia Melaka, Malaysia

My URL
https://livedna.org/964.28164

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Biography

Dr. Mazin Abed Mohammed completed his B.Sc. Degree in Computer Science from College of Computer, University of Anbar, Iraq in 2008, Master of IT from Universiti Tenaga Nasional Malaysia 2011 and Ph.D., from Universiti Teknikal Malaysia Melaka, Malaysia in 2018. He is currently working as a Teacher in department of Planning & Follow Up in University of Anbar, Ramadi, Iraq. He teaches a variety of university courses in Computer Science, such as, Operating Systems, Database design, Mobile systems Programing, Software Project Management, Web technologies and Software Requirements and design. His areas of research interest include Artificial Intelligence, Medical image processing, machine learning, Computer Vision, computational intelligence, IoT, Biomedical Computing, bio-informatics, and fog Computing. He has published more than 45 papers International Journals and conferences. Dr. Mohammed outstanding scientific production spans over 45+ contributions published in high standard ISI journals, such as IEEE Access, Future Generation Computer Systems, Medical Informatics, Computers & Electrical Engineering, Computational Science, and Medical Systems. His publications are distributed as follows: 24 papers indexed in ISI-JCR (Q1 :4, Q2 :11, Q3 :5, Q4 :4) and 21 papers indexed in Scopus. His Google Scholar Citations reached 1500+ with h-index: 25 and i10-index: 42.

Area of Interest:

Computer Sciences
Biomedical Image Processing
AI Applications
Optimization
Fog Computing

Selected Publications

  1. Prasanna, J., M.S.P. Subathra, M.A. Mohammed, M.S. Maashi, B. Garcia-Zapirain, N.J. Sairamya and S.T. George, 2020. Detection of focal and non-focal electroencephalogram signals using fast walsh-hadamard transform and artificial neural network. Sensors, 10.3390/s20174952.
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  2. Mutlag, A.A., M.K.A. Ghani, M.A. Mohammed, M.S. Maashi and O. Mohd et al., 2020. Mafc: multi-agent fog computing model for healthcare critical tasks management. Sensors, 10.3390/s20071853.
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  3. Mohd, N.A., 2020. Vehicles counting from video stream for automatic traffic flow analysis systems. Int. J. Emerging Trends Eng. Res., 8: 142-146.
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  4. Mohammed, M.A., K.H. Abdulkareem, S.A. Mostafa, M.K.A. Ghani and M.S. Maashi et al., 2020. Voice pathology detection and classification using convolutional neural network model. Appl. Sci., 10.3390/app10113723.
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  5. Mohammed, M.A., K.H. Abdulkareem, A.S. Al-Waisy, S.A. Mostafa and S. Al-Fahdawi et al., 2020. Benchmarking methodology for selection of optimal COVID-19 diagnostic model based on entropy and topsis methods. IEEE Access, 8: 99115-99131.
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  6. Ali, I., M. Mohammed, T. Al-Sharify and H. Kolivand, 2020. Real-time cloth simulation on virtual human character using enhanced position based dynamic framework technique. Baghdad Sci. J., 10.21123/bsj.2020.17.4.1294.
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  7. Al-Waisy, A.S., S. Al-Fahdawi, M.A. Mohammed, K.H. Abdulkareem and S.A. Mostafa et al., 2020. COVID-chexnet: hybrid deep learning framework for identifying COVID-19 virus in chest x-rays images. Soft Comput., 10.1007/s00500-020-05424-3.
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  8. Al-Dhief, F.T., N.M.A. Latiff, N.N.N.A. Malik, N.S. Salim, M.M. Baki, M.A.A. Albadr and M.A. Mohammed, 2020. A survey of voice pathology surveillance systems based on internet of things and machine learning algorithms. IEEE Access, 8: 64514-64533.
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  9. AL-Dhief, F.T., N.M.A. Latiff, N.N.N.A. Malik, N. Sabri and M.M. Baki et al., 2020. Voice pathology detection using machine learning technique. 2020 IEEE 5th International Symposium on Telecommunication Technologies (ISTT), November 9-11, 2020, IEEE Xplore, Tunis, Tunisia, 99-104.
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  10. Mutlag, A.A., M.K.A. Ghani, N. Arunkumar, M.A. Mohammed and O. Mohd, 2019. Enabling technologies for fog computing in healthcare IoT systems. Future Generation Comput. Syst., 90: 62-78.
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  11. Mostafa, S.A., S.S. Gunasekaran, A. Mustapha, M.A. Mohammed and W.M. Abduallah, 2019. Modelling an adjustable autonomous multi-agent internet of things system for elderly smart home. In: Advances in Neuroergonomics and Cognitive Engineering, Ayaz, H., Springer International Publishing Singapore, ISBN-13 978-3-030-20473-0, pp: 301-311.
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  12. Mostafa, S.A., A. Mustapha, M.A. Mohammed, R.I. Hamed and N. Arunkumar et al., 2019. Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson’s disease. Cognitive Syst. Res., 54: 90-99.
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  13. Khalaf, B.A., S.A. Mostafa, A. Mustapha, M.A. Mohammed and W.M. Abduallah, 2019. Comprehensive review of artificial intelligence and statistical approaches in distributed denial of service attack and defense methods. IEEE Access, 7: 51691-51713.
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  14. Abdulkareem, K.H., M.A. Mohammed, S.S. Gunasekaran, M.N. Al-Mhiqani and A.A. Mutlag et al., 2019. A review of fog computing and machine learning: concepts, applications, challenges, and open issues. IEEE Access, 7: 153123-153140.
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  15. Abd Ghani, M.K., M.A. Mohammed, N. Arunkumar, S.A. Mostafa and D.A. Ibrahim et al., 2019. Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques. Neural Comput. Applic. 10.1007/s00521-018-3882-6.
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  16. Obaid, O.I., M.A. Mohammed, M.K.A. Ghani, S.A. Mostafa and F. Taha, 2018. Evaluating the performance of machine learning techniques in the classification of Wisconsin breast cancer. Int. J. Eng. Technol., 7: 160-166.

  17. Mostafa, S.A., A. Mustapha, M.A. Mohammed, M.S. Ahmad and M.A. Mahmoud, 2018. A fuzzy logic control in adjustable autonomy of a multi-agent system for an automated elderly movement monitoring application. Int. J. Med. Inform., 112: 173-184.
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  18. Mostafa, S.A., A. Mustapha, A.A. Hazeem, S.H. Khaleefah and M.A. Mohammed, 2018. An agent-based inference engine for efficient and reliable automated car failure diagnosis assistance. IEEE Access, 6: 8322-8331.
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  19. Mohammed, M.A., M.K. Abd Ghani, N.A. Arunkumar, S.A. Mostafa, M.K. Abdullah and M.A. Burhanuddin, 2018. Trainable model for segmenting and identifying Nasopharyngeal carcinoma. Comput. Electr. Eng., 71: 372-387.
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  20. Mohammed, M.A., M.K. Abd Ghani, N.A. Arunkumar, R.I. Hamed, S.A. Mostafa, M.K. Abdullah and M.A. Burhanuddin, 2018. Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network. J. Supercomput. 10.1007/s11227-018-2587-z.
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  21. Mohammed, M.A., M.K. Abd Ghani, N. Arunkumar, R.I. Hamed, M.K. Abdullah and M.A. Burhanuddin, 2018. A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear. Future Generation Comput. Syst., 89: 539-547.
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  22. Mohammed, M.A., M.K. Abd Ghani, N. Arunkumar, O.I. Obaid and S.A. Mostafa et al., 2018. Genetic case-based reasoning for improved mobile phone faults diagnosis. Comput. Electr. Eng., 71: 212-222.
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  23. Mohammed, M.A., B. Al-Khateeb, A.N. Rashid, D.A. Ibrahim, M.K.A. Ghani and S.A. Mostafa, 2018. Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images. Comput. Electr. Eng., 70: 871-882.
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  24. Mahdi, O.A., Y.R.B. Al-Mayouf, A.B. Ghazi, A.W.A. Wahab, M.A. Mohammed and M.Y.I.B. Idris, 2018. An energy-aware and load-balancing routing scheme for wireless sensor networks. Indonesian J. Electr. Eng. Comput. Sci., 12: 1312-1319.

  25. Arunkumar, N., M.A. Mohammed, S.A. Mostafa, D.A. Ibrahim, J.J. Rodrigues and V.H.C. de Albuquerque, 2018. Fully automatic model‐based segmentation and classification approach for MRI brain tumor using artificial neural networks. Concurrency Comput.: Pract. Experience. 10.1002/cpe.4962.
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  26. Arunkumar, N., M.A. Mohammed, M.K. Abd Ghani, D.A. Ibrahim, E. Abdulhay, G. Ramirez-Gonzalez and V.H.C. de Albuquerque, 2018. K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor. Soft Comput. 10.1007/s00500-018-3618-7.
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  27. Abdulhay, E., M.A. Mohammed, D.A. Ibrahim, N. Arunkumar and V. Venkatraman, 2018. Computer aided solution for automatic segmenting and measurements of blood leucocytes using static microscope images. J. Med. Syst., Vol. 42. 10.1007/s10916-018-0912-y.
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  28. Abd. Ghani, M.K., M.A. Mohammed, S.A. Mostafa, A. Mustapha, H. Aman and M.M. Jaber, 2018. The design of flexible telemedicine framework for healthcare big data. Int. J. Eng. Technol., 7: 461-468.

  29. Mostafa, S.A., M.S. Ahmad, A. Mustapha and M.A. Mohammed, 2017. Formulating layered adjustable autonomy for unmanned aerial vehicles. Int. J. Intell. Comput. Cybernet., 10: 430-450.
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  30. Mostafa, S.A., M.S. Ahmad, A. Mustapha and M.A. Mohammed, 2017. A concise overview of software agent research, modeling and development. Software Eng., 5: 8-25.
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  31. Mohammed, M.A., M.K. Abd Ghani, S.A. Mostafa and D.A. Ibrahim, 2017. Using scatter search algorithm in implementing examination timetabling problem. J. Eng. Applied Sci., 12: 4792-4800.

  32. Mohammed, M.A., M.K. Abd Ghani, R.I. Hamed, S.A. Mostafa, M.S. Ahmad and D.A. Ibrahim, 2017. Solving vehicle routing problem by using improved genetic algorithm for optimal solution. J. Comput. Sci., 21: 255-262.
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  33. Mohammed, M.A., M.K. Abd Ghani, R.I. Hamed, M.K. Abdullah and D.A. Ibrahim, 2017. Automatic segmentation and automatic seed point selection of nasopharyngeal carcinoma from microscopy images using region growing based approach. J. Comput. Sci., 20: 61-69.
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  34. Mohammed, M.A., M.K. Abd Ghani, R.I. Hamed, D.A. Ibrahim and M.K. Abdullah, 2017. Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma. J. Comput. Sci., 21: 263-274.
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  35. Mohammed, M.A., M.K. Abd Ghani, R.I. Hamed and D.A. Ibrahim, 2017. Analysis of an electronic methods for nasopharyngeal carcinoma: Prevalence, diagnosis, challenges and technologies. J. Computat. Sci., 21: 241-254.

  36. Mohammed, M.A., M.K. Abd Ghani, O.I. Obaid, S.A. Mostafa, M.S. Ahmad, D.A. Ibrahim and M.A. Burhanuddin, 2017. A review of genetic algorithm applications in solving vehicle routing problem. J. Eng. Applied Sci., 12: 4267-4283.

  37. Mohammed, M.A., M.K. Abd Ghani, O.I. Obaid, S.A. Mostafa, M.S. Ahmad, D.A. Ibrahim and M.A. Burhanuddin, 2017. A review of genetic algorithm application in examination timetabling problem. J. Eng. Applied Sci., 12: 5166-5181.
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  38. Mohammed, M.A., M.K. Abd Ghani, R.I. Hamed, S.A. Mostafa, D.A. Ibrahim, H.K. Jameel and A.H. Alallah, 2017. Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution. J. Comput. Sci., 21: 232-240.
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  39. Mohammed, M.A., M.K. Abd Ghani, R.I. Hamed and D.A. Ibrahim, 2017. Review on nasopharyngeal carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literature. J. Comput. Sci., 21: 283-298.
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  40. Abd Ghani, M.K., M.A. Mohammed, M.S. Ibrahim, S.A. Mostafa and D.A. Ibrahim, 2017. Implementing an efficient expert system for services center management by fuzzy logic controller. J. Theor. Applied Inform. Technol., 95: 3127-3135.

  41. Mohammed, M.A., A.K. Belal and D.A. Ibrahim, 2016. Human interaction with mobile devices on social networks by young and elderly people: Iraq a case study. Indian J. Sci. Technol., Vol. 9, 10.17485/ijst/2016/v9i42/101281.
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  42. Mohammed, M.A., A.B. Khateeb and D.A. Ibrahim, 2016. Case based reasoning shell frameworkas decision support tool. Indian J. Sci. Technol., Vol. 9, 10.17485/ijst/2016/v9i42/101280.
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  43. Obaid, O.I, M.A. Mohammed and M.S. Ahmad, 2015. Solving Examination Timetabling Problem by using Genetic Algorithm. OmniScriptum Publishing, Saarbrucken, Germany, ISBN-13: 978-3-659-76188-1, Pages: 184.

  44. Mohammed, M.A., O.I. Obaid and S.B. Ahmad, 2015. Using Genetic Algorithm in Solving Vehicle Routing Problem for Optimal Solution. LAP LAMBERT Academic Publishing, Germany, ISBN-13: 978-3-659-74963-6, Pages: 104.

  45. Mohammed, M.A., 2015. Design and implementing an efficient expert assistance system for car evaluation via fuzzy logic controller. Intl. J. Comput. Sci. Software Eng., 4: 60-68.
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Member since April, 2019