Alaa Abd ali Hadi

@atu.edu.iq

AL-Furat AL-Awsat Technical University
AL-Furat AL-Awsat Technical University

Alaa Abd ali Hadi


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https://researchid.co/alaaabdalihadi

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Networks and Communications, Computer Engineering, Computer Science Applications, Artificial Intelligence
3

Scopus Publications

65

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • MalNet-Quantum: A CNN-Based Malware Detection Framework Enhanced by Quantum Grey Wolf Optimizer
    Alaa Abd Ali Hadi, Asghar A. Asgharian Sardroud
    Proceedings of SPIE the International Society for Optical Engineering, 2026
    The Android malware is one of the persistent threats that cannot be ignored, as the evolution of the family is fast, and the distribution of apps is deep and exists outside of the official platforms. Traditional detectors, both signature-based and ML-driven, tend to rely on brittle feature engineering and ad-hoc hyperparameter tuning, limiting their accuracy and damaging their generalization. The current paper introduces MalNet-Quantum, a detector built on CNN where all essential hyperparameters (e.g., kernel size, number of filters, dropout, learning rate) are optimized automatically with the help of a Quantum Grey Wolf Optimizer (QGWO). The pipeline is capable of preserving both static feature vectors (permissions, API usage, network indicators) and binary to image representation, which enables the CNN to learn discriminative spatial patterns without designing features manually. QGWO offers wide range, exploration-based search dynamics, which minimize premature convergence, and outperform manual, grid, or random search by a significant margin. Large-scale experiments on benchmark Android malware data indicate that MalNet-Quantum is better than competitive baselines by all evaluation metrics. Specifically, the offered approach has 99.82% accuracy, 99.60% precision, and 99.85% recall, and the results have statistically significant improvement based on Wilcoxon tests (p < 0.05). These findings suggest that CNN feature learning with quantum-inspired hyperparameter optimization offers a solid and scalable path forward in the Android malware detection to minimize false alarms and the number of missed threats at a high cross-dataset reliability cost.
  • Improving Cybersecurity with Random Forest Algorithm-based Big Data Intrusion Detection System: A Performance Analysis
    Alaa Abd Ali Hadi, Amjad Mahmood Hadi
    Aip Conference Proceedings, 2024
    Even security specialists find it challenging to monitor the complex interconnections of computers and network devices brought about by the expansion of the internet over the past ten years. Network security has grown to be a major problem as personal computers have become faster and high-speed internet has become more widely accessible. It is extremely difficult to create intrusion detection systems that can manage massive amounts of data, especially in terms of system construction time. This work suggests a preprocessing feature selection strategy that creates subsets of pertinent characteristics to ease model construction in order to overcome this difficulty. The suggested model uses the information gain method to improve accuracy while classifying network data using the Random Forest algorithm. Using the NSL-KDD reference dataset, the suggested model's efficacy is assessed. Several measures are used to determine how well it performs. According on empirical findings, the recommended model outperforms existing algorithms in terms of performance measures. It offers a contrast. Overall, the proposed methodology has a great deal of promise to enhance large data intrusion detection systems' functionality.
  • Design zigzag edge of S shape slot antenna by using SIW technology for 5G application
    Alaa Abd Ali Hadi, Essam Hamoodi Ahmed, Baydaa Hadi Saoudi, Yaqdhan Mahmood Hussein, Tabarek Alwan Tuib
    Telkomnika Telecommunication Computing Electronics and Control, 2023
    This study offers a 5G substrate integrated waveguide (SIW) antenna with vertical S zigzag shape slot. The suggested antenna's radiating patch depends on the shape of the slot. Two types of slots have been used, straight and zigzag S shape slot with vertical and horizontal direction, slots are etched on the patch to increase the antenna's overall bandwidth and gain. The suggested straight and zigzag SIW S slot antennas both resonate at 28 GHz, and the overall structure size is 7.10×14.93 mm. The presented design could achieve high gain, efficiency, and minimal losses, which are all important concerns. The presented antenna may produce a gain of 9.48 dB, a 95% efficiency, and a wider bandwidth of no less than 3.25 GHz at 28 GHz.

RECENT SCHOLAR PUBLICATIONS

  • MalNet-Quantum: a CNN-based malware detection framework enhanced by Quantum Grey Wolf Optimizer
    AAA Hadi, AAA Sardroud
    Third International Conference on Emerging Trends in AI and Computational … , 2026
    2026.0
  • Improving cybersecurity with random forest algorithm-based big data intrusion detection system: A performance analysis
    AAA Hadi, AM Hadi
    AIP Conference Proceedings 3051 (1), 040012 , 2024
    2024.0
    Citations: 7
  • Design zigzag edge of S shape slot antenna by using SIW technology for 5G application
    AAA Hadi, EH Ahmed, BH Saoudi, YM Hussein, TA Tuib
    TELKOMNIKA (Telecommunication Computing Electronics and Control) 21 (6 … , 2023
    2023.0
    Citations: 3
  • Fast way to retrieve data from sql database using dapper compare to linq entity framework
    ALIS Hamza, GJK Al-Abbas, AAA Hadi
    2022.0
    Citations: 1
  • Local Binary Pattern and PCA Approaches: Towards for Developing Face recognition system
    A Amjad Mahmood Hadi1
    International Journal of Engineering and Technology(UAE) 7 (3.36), 225-228 , 2018
    2018.0
  • Performance Analysis of Big Data Intrusion Detection System over Random Forest Algorithm
    AAA Hadi
    International Journal of Applied Engineering Research 13 (2), 1520-1527 , 2018
    2018.0
    Citations: 54
  • Unified Extensible Firmware Interface (UEFI) between Speed and Security
    AFM Sabah Mohammed Mlket Almutoki, Alaa Abd Ali Hade
    مؤتمرات الآداب والعلوم الانسانية والطبيعية, 334-348 , 2017 ‎
    2017.0
  • Enhancing Depth Consistency in Augmented and Diminished Reality: Techniques and Evaluations Using RGB Imagery
    IS Seger, AM Hadi, AAA Hadi

MOST CITED SCHOLAR PUBLICATIONS

  • Performance Analysis of Big Data Intrusion Detection System over Random Forest Algorithm
    AAA Hadi
    International Journal of Applied Engineering Research 13 (2), 1520-1527 , 2018
    2018.0
    Citations: 54
  • Improving cybersecurity with random forest algorithm-based big data intrusion detection system: A performance analysis
    AAA Hadi, AM Hadi
    AIP Conference Proceedings 3051 (1), 040012 , 2024
    2024.0
    Citations: 7
  • Design zigzag edge of S shape slot antenna by using SIW technology for 5G application
    AAA Hadi, EH Ahmed, BH Saoudi, YM Hussein, TA Tuib
    TELKOMNIKA (Telecommunication Computing Electronics and Control) 21 (6 … , 2023
    2023.0
    Citations: 3
  • Fast way to retrieve data from sql database using dapper compare to linq entity framework
    ALIS Hamza, GJK Al-Abbas, AAA Hadi
    2022.0
    Citations: 1
  • MalNet-Quantum: a CNN-based malware detection framework enhanced by Quantum Grey Wolf Optimizer
    AAA Hadi, AAA Sardroud
    Third International Conference on Emerging Trends in AI and Computational … , 2026
    2026.0
  • Local Binary Pattern and PCA Approaches: Towards for Developing Face recognition system
    A Amjad Mahmood Hadi1
    International Journal of Engineering and Technology(UAE) 7 (3.36), 225-228 , 2018
    2018.0
  • Unified Extensible Firmware Interface (UEFI) between Speed and Security
    AFM Sabah Mohammed Mlket Almutoki, Alaa Abd Ali Hade
    مؤتمرات الآداب والعلوم الانسانية والطبيعية, 334-348 , 2017 ‎
    2017.0
  • Enhancing Depth Consistency in Augmented and Diminished Reality: Techniques and Evaluations Using RGB Imagery
    IS Seger, AM Hadi, AAA Hadi