PhD Student, Computer Science Department
Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt
Biography:
Mahmoud Mohamed Bassiouni is a PhD student at the Department of computer science Ainshams University. Mahmoud received his bachelor degree very good with honors (2012) and master (2016) in computer science from the Faculty of Computer and Information Sciences at Ain Shams University, Cairo, Egypt. Mahmoud has published 7 publications in terms of biometrics, diagnosis, machine learning. His research interests includes artificial intelligent, biomedical signal and image processing.
Research Interests:
- Artificial Intelligence
- Biometrics
- Machine Learning
- Image Processing
- Signal Processing
- Classification and Clustering
MSc:
"Biometric Intelligent System based on Heart Signals", Department of Computer Science, Faculty of computer and Information Science Ainshams University
Publications:
- Bassiouni, M. M., El-Dahshan, E. S. A., Khalefa, W., & Salem, A. M. (2018). Intelligent hybrid approaches for human ECG signals identification. Signal, Image and Video Processing, 12(5), pp. 941-949. Available from: https://doi.org/10.1007/s11760-018-1237-5. (Impact Factor : 1.643)
- El-Dahshan, E. S. A., & Bassiouni, M. M. (2018). Computational intelligence techniques for human brain MRI classification. International Journal of Imaging Systems and Technology, 28(2), pp.132-148. Available from: https://doi.org/10.1002/ima.22265. (Impact Factor : 1.423)
- Bassiouni, M., Ali, M., & El-Dahshan, E. A. (2018). Ham and Spam E-Mails Classification Using Machine Learning Techniques. Journal of Applied Security Research, 13(3), pp.315-331. Available from: https://doi.org/10.1080/19361610.2018.1463136 (Impact Factor : 0.35).
- Bassiouni, M., Khalefa, W., El-Dahshan, E. A., & Salem, A. B. M. (2016). An Intelligent Approach for Person Identification Using Phonocardiogram Signals. International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 6(1), pp.103-117.
- Bassiouni, M., Khalifa, W., El-Dahshan, E. A., & Salem, A. B. M. (2016). A machine learning technique for person identification using ECG signals. International Journal of Applied Physics, 1 (1), pp.37-41.
- Bassiouni M, Khalefa W, El-Dahshan ESA, Salem ABM (2015). A study on the Intelligent Techniques of the ECG-based Biometric Systems. Recent Advances in Electrical Engineering, pp. 26–31, ISBN: 978- 1-61804-351-1. Available from: http://www.inase.org/library/2015/crete/bypaper/COCI/COCI-04.pdf.
- Bassiouni, M., Khalifa, W., El Dahshan, E. S. A., & Salam, A. B. M. (2015). A study on PCG as a biometric approach. In IEEE seventh international conference of Intelligent Computing and Information Systems, pp. 161-166. doi: 10.1109/IntelCIS.2015.7397215.
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