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Fallah H. Najjar

Professor (Assistant) Engineer

Computer Network And Software Techniques

Najaf Technical Institute

Biography

 Fallah H. Najjar was born in Iraq in 1985. He received his diploma in Computer Systems Techniques from Al-Furat Al-Awsat Technical University, Technical Institute of Najaf, in 2011; his B.Sc. degree in Software Engineering from Al-Imam Ja'afar Al-Sadiq University in 2015; and his M.Sc. degree in Computer Science from the University of Kufa in 2019. Also, he holds a Ph.D. in Computer Science from UTM, Malaysia. His research interests are AI, deep learning, machine learning, medical imaging, image processing, computer vision, and data science.

Rsearch Interests

  • Artificial Intelligence
  • Medical Imaging
  • Deep Learning
  • Machine Learning
  • Biomedical Engineering
  • Feature Engineering

Qualifications

  • Diploma in Computer Systems Techniques from Al-Furat Al-Awsat Technical University, Technical Institute of Najaf, in 2011
  • B.Sc. degree in Software Engineering from Al-Imam Ja'afar Al-Sadiq University in 2015
  • MSc degree in Computer Science from the University of Kufa in 2019
  • Ph.D. in Computer Science from UTM, Malaysia

Positions

  • Deputy Head of Department - Department of Information Technology - Technical College of Management / Kufa - Al-Furat Al-Awsat Technical University - 2019 - 2022
  • Deputy Head of Department - Department of Computer Systems Techniques - Technical Institute of Najaf - Al-Furat Al-Awsat Technical University - 2023 - 2024

Scientific Research

  • Integrating the Kernel Method to Autonomous Learning Multi-Model Systems for Online Data Ali H. Ali and Fallah H. Najjar 2018 International Conference on Artificial Intelligence and Data Processing (IDAP) https://doi.org/10.1109/IDAP.2018.8620845
  • A novel hybrid feature extraction method using LTP, TFCM, and GLCM Fallah H. Najjar, Hassan M. Al-Jawahry, Mustafa Saleh Al-Khaffaf and Ahmed T. Al-Hasani Journal of Physics: Conference Series https://doi.org/10.1088/1742-6596/1892/1/012018
  • Digital filters windowing for data transmission enhancement in communication channel Ola N. Kadhim, Kifah T. Khudhair, Fallah H. Najjar, and Hassan M. Al-Jawahry Indonesian Journal of Electrical Engineering and Computer Science http://doi.org/10.11591/ijeecs.v24.i3.pp1454-1468
  • Histogram Features Extraction for Edge Detection Approach Fallah H. Najjar, Kifah T. Khudhair, Ali Hussein Abdul Khaleq, Ola N. Kadhim, Firas Abedi, and Ibrahim H. Al-Kharsan 2022 5th International Conference on Engineering Technology and its Applications (IICETA) https://doi.org/10.1109/IICETA54559.2022.9888697
  • Soft Edge Detection by Mamdani Fuzzy Inference of Color Image Kifah T. Khudhair, Ola N. Kadhim, Fallah H. Najjar, Firas Abedi, Ali N. Jamaluddin, and Ibrahim H. Al-Kharsan 2022 5th International Conference on Engineering Technology and its Applications (IICETA) https://doi.org/10.1109/IICETA54559.2022.9888456
  • Acute lymphoblastic leukemia image segmentation based on modified HSV model Fallah H Najjar, Kifah T Khudhair, Zaid Nidhal Khudhair, Haneen H Alwan and Ameer Al-khaykan Journal of Physics: Conference Series https://doi.org/10.1088/1742-6596/2432/1/012020
  • A novel medical image enhancement technique based on hybrid method Kifah T Khudhair, Fallah H Najjar, Safa Riyadh Waheed, Hassan M Al-Jawahry, Haneen H Alwan and Ameer Al-khaykan Journal of Physics: Conference Series https://doi.org/10.1088/1742-6596/2432/1/012021
  • Detection of COVID-19 in X-Rays by Convolutional Neural Networks Ola N. Kadhim, Fallah H. Najjar, and Kifah T. Khudhair Malaysian Journal of Fundamental and Applied Sciences https://doi.org/10.24996/ijs.2023.64.4.33
  • Leukemia Classification using a Convolutional Neural Network of AML Images Karrar A. Kadhim, Fallah H Najjar, Ali Abdulhussein Waad, Ibrahim H Al-Kharsan, Zaid Nidhal Khudhair, and Ali Aqeel Salim Malaysian Journal of Fundamental and Applied Sciences https://doi.org/10.11113/mjfas.v19n3.2901
  • Coronavirus Classification based on Enhanced X-ray Images and Deep Learning Fallah H. Najjar, Safa Riyadh Waheed, and Duha Amer Mahdi Malaysian Journal of Fundamental and Applied Sciences https://doi.org/10.11113/mjfas.v19n3.2909
  • Melanoma Skin Cancer Classification based on CNN Deep Learning Algorithms Safa Riyadh Waheed, Saadi Mohammed Saadi, Mohd Shafry Mohd Rahim, Norhaida Mohd Suaib, Fallah H Najjar, and Ali Aqeel Salim Malaysian Journal of Fundamental and Applied Sciences https://doi.org/10.11113/mjfas.v19n3.2900
  • Classification of COVID-19 from X-ray Images using GLCM Features and Machine Learning Fallah H Najjar, Karrar A Kadhim, Munaf Hamza Kareem, Hanan Abbas Salman, Duha Amer Mahdi, and Horya M Al-Hindawi Malaysian Journal of Fundamental and Applied Sciences https://doi.org/10.11113/mjfas.v19n3.2911
  • Design a Crime Detection System based Fog Computing and IoT Safa Riyadh Waheed, Ammar AbdRoba Sakran, Mohd Shafry Mohd Rahim, Norhaida Mohd Suaib, Fallah H Najjar, Karrar A Kadhim, Ali Aqeel Salim, and Myasar Mundher Adnan Malaysian Journal of Fundamental and Applied Sciences https://doi.org/10.11113/mjfas.v19n3.2906
  • Image enhancement using HSV color space, DWT, and BiHE techniques Tameem Hameed Obaida, Salman Abd Kadum, Fallah H Najjar, and Hassan M Al-Jawahry 2023 6th International Conference on Engineering Technology and its Applications (IICETA) https://doi.org/10.1109/IICETA57613.2023.10351373
  • Eye Diseases Classification Based on Hybrid Feature Extraction Methods Salman Abd Kadum, Fallah H Najjar, Hassan M Al-Jawahry, and Farhan Mohamed 2023 6th International Conference on Engineering Technology and its Applications (IICETA) https://doi.org/10.1109/IICETA57613.2023.10351335
  • Retinal blood vessel segmentation based on the gabor filter and optimized top-hat morphology Hasan Najim Zugair, Yasir AF Alaabedi, Fallah H Najjar, and Hasanain H Razzaq AIP Conference Proceedings https://doi.org/10.1063/5.0182533
  • Diagnosing Alzheimer’s Disease Severity: A Comparative Study of Deep Learning Algorithms Ibrahem Mohammed Madhat, Karrar N Kadhim, Farhan Mohamed, Mohd Shafry Mohd Rahim, Fallah H Najjar, and Ali J Ramadhan BIO Web of Conferences https://doi.org/10.1051/bioconf/20249700102
  • Localizing the Thickness of Cortical Regions to Descriptor the Vital Factors for Alzheimer’s Disease Using UNET Deep Learning Karrar A Kadhim, Farhan Mohamed, Fallah H Najjar, Ghalib Ahmed Salman, and Ali J Ramadhan BIO Web of Conferences https://doi.org/10.1051/bioconf/20249700054
  • Secure Image Encryption using E-Fractal-Based Non-Commutative Group and Hash Function Ola N Kadhim, Fallah H Najjar, and Ali J Ramadhan BIO Web of Conferences https://doi.org/10.1051/bioconf/20249700020
  • Ant Colony Optimization Based Edge Detection Algorithm Fallah H Najjar, Ola N Kadhim, and Salman Abd Kadum Al-Furat Journal of Innovations in Electronics and Computer Engineering https://doi.org/10.46649/fjiece.v3.2.32a.11.6.2024
  • A Novel Color Feature for the Improvement of Pigment Spot Extraction in Iris Images Mohamad Faizal Ab Jabal, Asniyani Nur Haidar Abdullah, Fallah H Najjar, Suhardi Hamid, Ahmad Khudzairi Khalid, and WDWA Manan Journal of Image and Graphics https://doi.org/10.18178/joig.12.4.410-416
  • Early diagnose Alzheimer's disease by convolution neural network-based histogram features extracting and canny edge Karrar A Kadhim, Farhan Mohamed, Fallah H Najjar, and Ghalib Ahmed Salman Baghdad Science Journal https://doi.org/10.21123/bsj.2024.9740
  • Integrating Multi-scale Feature Extraction into EfficientNet for Acute Lymphoblastic Leukemia Classification Fallah H Najjar, Salman Abd Kadum, and Nawar Banwan Hassan Journal of Image and Graphics https://doi.org/10.18178/joig.13.1.83-89
  • A Lightweight U-Net Model for Accurate Skin Lesion Segmentation Fallah H Najjar, Karrar A Kadhim, Farhan Mohamed, Mohd Shafry Mohd Rahim, and Asniyani Nur Haidar Abdullah Iraqi Journal for Computer Science and Mathematics https://doi.org/10.52866/2788-7421.1230
  • Integrating Spatial Pyramid Pooling for Multi-scale Brain Tumor Classification in Deep Learning Karrar A Kadhim, Ola N Kadhim, and Fallah H Najjar Journal of Image and Graphics https://doi.org/10.18178/joig.13.4.315-324
  • Hybrid Deep Learning Model for Hippocampal Localization in Alzheimer's Diagnosis Using U-Net and VGG16 Fallah H Najjar, Nawar Banwan Hassan, and Salman Abd Kadum International Journal of Robotics and Control Systems http://dx.doi.org/10.31763/ijrcs.v5i2.1739
  • Hybrid SVD and SURF-Based Framework for Robust Image Forgery Detection and Object Localization Fallah H Najjar, Ansam Ali AbdulAmeer, and Salman abd Kadum Journal of Robotics and Control (JRC) https://doi.org/10.18196/jrc.v6i2.25567
  • A Morphological Context Blocks Hybrid CNN for Efficient Acute Lymphoblastic Leukemia Classification Nada J. Dubai, Ola N. Kadhim, and Fallah H Najjar International Journal of Robotics and Control Systems http://dx.doi.org/10.31763/ijrcs.v5i2.1824
  • Transformer-Aided Skin Cancer Classification Using VGG19-Based Feature Encoding Fallah H Najjar, Zaid Nidhal Khudhair, Farhan Mohamed, Mohd Shafry Mohd Rahim, Vei Siang Chan, and Ali Hilal Ali Preprint - Research Square https://doi.org/10.21203/rs.3.rs-7120337/v1
  • Transformer-aided skin cancer classification using VGG19-based feature encoding Fallah H Najjar, Zaid Nidhal Khudhair, Farhan Mohamed, Mohd Shafry Mohd Rahim, Vei Siang Chan, Ali Hilal Ali Scientific Reports https://doi.org/10.1038/s41598-025-24081-w
  • An Overview of Artificial Intelligence Based Skin Lesion Analysis for Dermatologists Fallah H Najjar, Farhan Mohamed, Mohd Shafry Mohd Rahim, Vei Siang Chan, Zaid Nidhal Khudhair 2025 IEEE International Conference on Computing (ICOCO) https://doi.org/10.1109/ICOCO67189.2025.11334084
  • Hybrid and Deep Learning Models for Telecom Churn Forecasting: A Comparative Evaluation Akinwamide Sunday, Farhan Mohamed, Fallah H Najjar 2025 IEEE International Conference on Computing (ICOCO) https://doi.org/10.1109/ICOCO67189.2025.11334122
  • Acute Lymphoblastic Leukemia Classification Using Modified VGG16 Architecture Fallah H Najjar, Salman Abd Kadum, Ola N Kadhim, Ali J Ramadhan Iraqi Journal of Science https://doi.org/10.24996/ijs.2025.66.11.37
  • Dual Focus Attention Block UNet (DFAB-UNet) for Robust Skin Lesion Segmentation Fallah H. Najjar, Farhan Mohamed, Mohd Shafry Mohd Rahim, Diana Sofia de Oliveira Bernardo, Luís Filipe Almeida Bernardo, and Vei Siang Chan Baghdad Science Journal https://bsj.uobaghdad.edu.iq/home/vol23/iss3/30/

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