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 MSc degree in Computer Science from the University of Kufa in 2019. Also, he is currently a Ph.D. candidate at UTM - Malaysia since 30-10-2022. His research interests are medical image analysis, machine learning, image processing, deep learning, computer vision, and data science.

Rsearch Interests

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

Experiences

  • 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. candidate at 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

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