Editor Profile

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Dr. Mhamad Bakro, Ph.D.

Assistant Professor

Present

Cordoba Private University

Aleppo

Syrian Arab Republic

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I received a Ph.D. in Computer Science and Engineering from C V Raman Global University in India in 2023. I also earned an M.Tech degree in Computer Science & Engineering from the same university in Bhubaneswar, India, in 2020, graduating with distinction and a final grade of 85.10%. Previously, I obtained a B.Sc. degree in Informatics Engineering from the Faculty of Informatics Engineering at Aleppo University in Aleppo, Syria, in 2018, with a final grade of 82.50%.

With over five years of experience in teaching and research, I currently work at the Faculty of Engineering and Technology, Cordoba Private University, Syria. I have published 8 articles indexed in Scopus and serve as a reviewer for several academic journals and esteemed conferences. My research interests include Intrusion Detection Systems, AI for Cybersecurity, Cloud Computing, Machine Learning, Deep Learning, Optimization Algorithms, IoT, Cryptography, and Blockchain.

  • Intrusion Detection Systems
  • Cloud Computing
  • Machine Learning
  • Deep Learning
  • Feature Selection
  • Feature Extraction
  • Optimization Algorithms
  • Cryptography
  • Blockchain
  • Building a Cloud-IDS by Hybrid Bio-Inspired Feature Selection Algorithms along with Random Forest Model [2024] DOI: 10.1109/ACCESS.2024.3353055 [Journal. IEEE ACCESS, Scopus, SCIE, Q1, IF: 3.9]
  • An Improved Design for a Cloud Intrusion Detection System Using Hybrid Features Selection Approach with ML Classifier. [2023] DOI: 10.1109/ACCESS.2023.3289405 [Journal. IEEE ACCESS, Scopus, SCIE, Q1, IF: 3.9]
  • Efficient Intrusion Detection System in Cloud using Fusion Feature Selection approaches and Ensemble Classifier. [2023] DOI: 10.3390/electronics12112427 [Journal. MDPI, Electronics, Scopus, SCIE, Q2, IF: 2.9]
  • Developing a Cloud Intrusion Detection System with Filter-based Features Selection Techniques and SVM Classifier [2023] DOI: 10.1007/978-3-031-21750-0_2 [Conference. Springer, Scopus, Q4]
  • Designing a System using Features Selection based on Filter methods and XGBoost Classifier for Detecting Intrusion in Cloud [By May 2024] https://icacie.com/2022/Acceptance-List-ICACIE-2022-v5.pdf [Conference. Springer, Scopus, Q4]
  • Hybrid Blockchain-Enabled Security in Cloud Storage Infrastructure Using ECC and AES Algorithms [2022] DOI: 10.1007/978-981-16-9260-4_6 [Book Chapter. Springer, Scopus, Q3]
  • Performance Analysis of Cloud Computing Encryption Algorithms [2021] DOI: 10.1007/978-981-16-0695-3_35 [Conference. Springer, Scopus, Q4]
  • Condition monitoring and fault diagnosis of induction motor-an experimental analysis [2021] DOI: 10.1109/ICEES51510.2021.9383729 [Conference. IEEE, Scopus, Q4]
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