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ALI MANSOUR MGAMMAL ALMADANI

Department of computer Science and Information Technology · Dr. Babasaheb Ambedkar Marathwada University Aurangabad

https://researchid.co/almadani1992
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11Scopus Publications
518Google Scholar Citations
9Google Scholar h-index
8Google Scholar i10-index

Research Interests

The Internet of Things(IoT), Blockchain Technology, Computer Vision, and Deep Learning.

Biography

I received the B.Sc degree from the Department of Computer Science, Faculty of Computer Science & IT, Sana'a University, Yemen in 2015/2016. I received the Ms.c(IT) degree from Dr.Babasaheb Ambedkar Marathwada University, Aurangabad, India in 2018. Currently, I'm research scholar at Department of CS and IT, Dr.Babasaheb Ambedkar Marathwada University, Aurangabad, India, and My area of interest Internet of Things(IoT), Blockchain Technology,Computer Vision, and Deep Learning.

Education

I received the B.Sc degree from the Department of Computer Science, Faculty of Computer Science & IT, Sana'a University, Yemen in 2015/2016. I received the Ms.c(IT) degree from Dr.Babasaheb Ambedkar Marathwada University, Aurangabad, India in 2018. Currently, I'm research scholar at Department of CS and IT, Dr.Babasaheb Ambedkar Marathwada University, Aurangabad, India, and My area of interest Internet of Things(IoT), Blockchain Technology,Computer Vision, and Deep Learning.

Recent Scopus Publications

  1. MOFL-CyberNet: A Novel Multi-Objective Federated Learning Framework for Simultaneous Cybersecurity Intrusion Detection and Network Performance Optimization
    Computational Intelligence, 2026
  2. Optimal intrusion detection for imbalanced data using Bagging method with deep neural network optimized by flower pollination algorithm
    Peerj Computer Science, 2025
  3. Railway Track Faults Detection Using Ensemble Deep Transfer Learning Models
    Statistics Optimization and Information Computing, 2024
  4. Enhanced Intrusion Detection with LSTM-Based Model, Feature Selection, and SMOTE for Imbalanced Data
    Applied Sciences Switzerland, 2024
  5. Multi-features Extraction for Automating Covid-19 Detection from Cough Sound using Deep Neural Networks
    Proceedings 4th International Conference on Smart Systems and Inventive Technology Icssit 2022, 2022

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