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Mohamed Loey

0000-0002-3849-4566

Assistant Professor (Information and computing sciences)

Egypt

Mohamed Loey is an Egyptian computer scientist working primarily in the fields of deep learning, machine learning, computer vision, image processing, and computational neuroscience. He is an assistant professor in faculty of computers and information, Benha university. He obtained his Ph.D. degree in computer science from faculty of computers and information, Benha University, Egypt in 2017. He obtained his M.Sc. degree in information technology from faculty of computers and information, Cairo university, Egypt in 2010.

Publications

  • M. Loey, F. Smarandache, N.E.M. Khalifa, “Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning”, Symmetry, vol.12, 4, 2020
  • M. Loey, M. Naman, H. Zayed, “Deep Transfer Learning in Diagnosing Leukemia in Blood Cells”, Computers, vol.9, 2, 2020
  • M. Loey, M.W Jasim, H.M EL-Bakry, M.H.N. Taha, N.E.M. Khalifa, “Breast and Colon Cancer Classification from Gene Expression Profiles Using Data Mining Techniques”, Symmetry, vol.12, 3, 2020
  • M. Loey, A. ElSawy, M. Afify, “Deep Learning in Plant Diseases Detection for Agricultural Crops: A Survey”, International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI, vol.11, 2, 2020
  • N.E.M. Khalifa, M. Loey, M.H.N. Taha, “INSECT PESTS RECOGNITION BASED ON DEEP TRANSFER LEARNING MODELS”, Journal of Theoretical and Applied Information Technology, vol.98, 2020
  • N.E.M. Khalifa, M. Loey, M.H.N. Taha, “Deep Transfer Learning Models for Medical Diabetic Retinopathy Detection”, Acta Informatica Medica, vol.27, pp. 327-332, 2020
  • A.A. Mawgoud, N.E.M. Khalifa, M.H.N. Taha, M. Loey, “Cyber Security Risks in MENA Region: Threats, Challenges and Countermeasures”, International Conference on Advanced Intelligent Systems and Informatics, pp. 912-921, 2019
  • M. Loey, H.M EL-Bakry, M.W Jasim, “Machine Learning in Gene Expression Profile for Central Nervous System Tumor Classification”, Journal of Convergence Information Technology, vol.14, pp. 49-60, 2019
  • M.W Jasim, H.M EL-Bakry, M. Loey, “Survey on Gene Selection Using Meta Heuristic Algorithms for Classifying Cancer Disease”, International Journal of Advanced Research in Computer Science & Technology, vol.6,pp. 19-27, 2018
  • A. El-Sawy, M. Loey, and H. EL-Bakry, “Arabic handwritten characters recognition using convolutional neural network,” WSEAS Transactions on Com puter Research, vol. 5, pp. 11–19, 2017.
  • A. El-Sawy, H. El-Bakry, and M. Loey, “An intelligent agent tutor system for detecting Arabic children handwriting difficulty based on immediate feedback,” WSEAS TRANSACTIONS on SYSTEMS, vol. 15, pp. 63–72, 2016.
  • A. El-Sawy, H. EL-Bakry, and M. Loey, “CNN for handwritten arabic digits recognition based on lenet-5,” in Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016, vol. 533, pp. 566–575, Springer International Publishing, 2016.
  • A. El-Sawy, M. Loey, and H. EL-Bakry, “Arab kids tutor (akt) system for handwriting stroke errors detection,” INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, vol. 4, pp. 42–49, 2016.

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Co-workers & collaborators

Ahmed A. Mawgoud

Ahmed A. Mawgoud

Mohamed Loey's public data