Amna Kadhim Ali

@uobasrah.edu.iq

College of Veterinary Medicine - Veterinary Public Health Branch
University of Basrah

Amna Kadhim Ali


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https://researchid.co/amnakali

EDUCATION

I received a B.Sc. in Computer Science in 2006 from the University of Basrah, Iraq. Now, I have a master's degree in computer science in the field of Artificial Intelligence at the University of Basrah, Basrah, Iraq.

RESEARCH INTERESTS

my interests are : Artificial Intelligence, machine learning, data mining
2

Scopus Publications

45

Scholar Citations

2

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Deep Learning Based Model Optimization Method for Mining High Utility Patterns in Large Datasets
    Arkan A. Ghaib, Amna Kadhim Ali, Jawad Alkenani, Roaa M. Salih
    Lecture Notes in Networks and Systems, 2025
  • Fake accounts detection on social media using stack ensemble system
    Amna Kadhim Ali, Abdulhussein Mohsin Abdullah
    International Journal of Electrical and Computer Engineering, 2022
    <p>In today’s world, social media has spread widely, and the social life of people have become deeply associated with social media use. They use it to communicate with each other, share events and news, and even run businesses. The huge growth in social media and the massive number of users has lured attackers to distribute harmful content through fake accounts, leading to a large number of people falling victim to those accounts. In this work, we propose a mechanism for identifying fake accounts on the social media site Twitter by using two methods to preprocess data and extract the most effective features, they are the spearman correlation coefficient and the chi-square test. For classification, we used supervised machine learning algorithms based on the ensemble system (stack method) by using random forest, support vector machine, and Naive Bayes algorithms in the first level of the stack, and the logistic regression algorithm as a meta classifier. The stack ensemble system was shown to be effective in achieving the best results when compared to the algorithms used with it, with data accuracy reaching 99%.</p>

RECENT SCHOLAR PUBLICATIONS

  • Robust and Interpretable Chest X-ray Classification via Diffusion Purification and Concept-Based Adversarial Detection
    AK Ali
    Journal of Basrah Research Sciences 51 (2) , 2025
    2025.0
    Citations: 1
  • Deep learning based model optimization method for mining high utility patterns in large datasets
    AA Ghaib, AK Ali, J Alkenani, RM Salih
    Computer Science On-line Conference, 393-408 , 2025
    2025.0
    Citations: 1
  • User-Friendly Interface Attendance System Based on Python Libraries and Deep Learning
    A Kadhim, JY Mustafa
    International Journal of Data Science 5 (2), 80-87 , 2024
    2024.0
    Citations: 2
  • Impact the classes’ number on the convolutional neural networks performance for image classification
    AK Ali, AM Abdullah, SF Raheem
    International Journal of Advanced Science Computing and Engineering 6 (2), 64-69 , 2024
    2024.0
    Citations: 12
  • AMPDF: A Hybrid Deep Learning Framework for Multi-Modal Phishing Detection in Cybersecurity
    AK Ali, AA Ghaib, M Al-atbee, ZA Abduljabbar
    DOI , 2024
    2024.0
    Citations: 1
  • The Effect of Feature Selection Methods in Detecting Malicious Accounts in Social Media
    SFR Amna Kadhim Ali, Faten Salim Hanoon
    Journal of Advanced Sciences and Nanotechnology 2 (1), 215–224 , 2023
    2023.0
    Citations: 1
  • Fake accounts detection on social media using stack ensemble system
    AK Ali, AM Abdullah
    International Journal of Electrical and Computer Engineering (IJECE) 12 (3 … , 2022
    2022.0
    Citations: 27
  • Artificial Intelligence-Enhanced Modeling and Optimization of Nanofluids Flows in Advanced Microfluidic Systems
    FS Hanoon, FA Mohammed, AK Ali

MOST CITED SCHOLAR PUBLICATIONS

  • Fake accounts detection on social media using stack ensemble system
    AK Ali, AM Abdullah
    International Journal of Electrical and Computer Engineering (IJECE) 12 (3 … , 2022
    2022.0
    Citations: 27
  • Impact the classes’ number on the convolutional neural networks performance for image classification
    AK Ali, AM Abdullah, SF Raheem
    International Journal of Advanced Science Computing and Engineering 6 (2), 64-69 , 2024
    2024.0
    Citations: 12
  • User-Friendly Interface Attendance System Based on Python Libraries and Deep Learning
    A Kadhim, JY Mustafa
    International Journal of Data Science 5 (2), 80-87 , 2024
    2024.0
    Citations: 2
  • Robust and Interpretable Chest X-ray Classification via Diffusion Purification and Concept-Based Adversarial Detection
    AK Ali
    Journal of Basrah Research Sciences 51 (2) , 2025
    2025.0
    Citations: 1
  • Deep learning based model optimization method for mining high utility patterns in large datasets
    AA Ghaib, AK Ali, J Alkenani, RM Salih
    Computer Science On-line Conference, 393-408 , 2025
    2025.0
    Citations: 1
  • AMPDF: A Hybrid Deep Learning Framework for Multi-Modal Phishing Detection in Cybersecurity
    AK Ali, AA Ghaib, M Al-atbee, ZA Abduljabbar
    DOI , 2024
    2024.0
    Citations: 1
  • The Effect of Feature Selection Methods in Detecting Malicious Accounts in Social Media
    SFR Amna Kadhim Ali, Faten Salim Hanoon
    Journal of Advanced Sciences and Nanotechnology 2 (1), 215–224 , 2023
    2023.0
    Citations: 1
  • Artificial Intelligence-Enhanced Modeling and Optimization of Nanofluids Flows in Advanced Microfluidic Systems
    FS Hanoon, FA Mohammed, AK Ali