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Mhamad Bakro

Researcher and Lecturer in the Department of Computer Science and Engineering · C. V. Raman Global University

https://researchid.co/mhamadbakro
@cgu-odisha.ac.in
8Scopus Publications
331Google Scholar Citations
7Google Scholar h-index
6Google Scholar i10-index

Biography

I received 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%. Subsequently, I earned an M.Tech degree in Computer Science and Engineering from C. V. Raman Global University in Bhubaneswar, India, in 2020, graduating with distinction and a final grade of 85.10%. I am currently pursuing a Ph.D. in Computer Science and Engineering from C.V. Raman Global University in Bhubaneswar, Odisha, India. Over the course of my academic career, I have published at three conferences, contributed to a book chapter, and authored two journal articles. In addition, I serve as a reviewer for several academic journals and conferences. My current research interests include AI for Cybersecurity, Cloud Computing, Intrusion Detection Systems, Machine Learning, Deep Learning, Optimization Algorithms, IOT, Cryptography, and Blockchain.

Education

PhD Scholar in Computer Science and Engineering C. V. Raman Global University, India [ 11/11/2020 – Expected to be completed by the end of 2023 ] Dissertation: Enhancing Cloud Security: Designing and Developing Advanced Intrusion Detection Systems through Feature Selection and AI Approaches (ML & DL) Master of Technology in Computer Science and Engineering C. V. Raman Global University, India [ 10/10/2018 – 06/07/2020 ] Final grade: 85.10% Thesis: Hybrid Blockchain-Enabled Security in Cloud Storage Infrastructure with using ECC and AES Algorithms Bachelor of Science in Informatics Engineer...

Recent Scopus Publications

  1. Designing a System Using Features Selection Based on Filter Methods and XGBoost Classifier for Detecting Intrusion in Cloud
    Lecture Notes in Networks and Systems, 2024
  2. Building a Cloud-IDS by Hybrid Bio-Inspired Feature Selection Algorithms Along With Random Forest Model
    IEEE Access, 2024
  3. Efficient Intrusion Detection System in the Cloud Using Fusion Feature Selection Approaches and an Ensemble Classifier
    Electronics Switzerland, 2023
  4. An Improved Design for a Cloud Intrusion Detection System Using Hybrid Features Selection Approach With ML Classifier
    IEEE Access, 2023
  5. Hybrid Blockchain-Enabled Security in Cloud Storage Infrastructure Using ECC and AES Algorithms
    Lecture Notes on Data Engineering and Communications Technologies, 2022

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