Dr. Nazeeruddin Mohammad
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Dr. Nazeeruddin Mohammad

Associate Professor of Computer Science, University of Adelaide (formerly Director, Cybersecurity Center, PMU). Ph.D., University of Ulster; past researcher at Cisco Systems. Cybersecurity, IoT, and network protocols — co-inventor across the nine-patent writer-verification and document-forensics family. Profile

Australia
Co-authored with Dr. Ghazanfar Latif

Co-authored publications (22)

22 research outputs in the AIRL publication library, 2018–2025. Each title links to its publication page with abstract, DOI and citation details.

US Patents (2)

  1. Text-independent writer verification device for cursively connected text
    US 12,019,708 · United States Patent and Trademark Office · 2024
  2. Writer verification method for handwritten cursively connected text
    US 12,019,709 · United States Patent and Trademark Office · 2024

Journal Articles (12)

  1. Deep Learning-based Arabic Sign Recognition System for Automated Communication with Hearing Impaired Individuals.
    Runna Alghazo, Ghazanfar Latif, Nazeeruddin Mohammad, Jaafar Alghazo, Maura AE Pilotti
    KSII Transactions on Internet & Information Systems · Korea Society of Internet Information · 2024
  2. Deep convolutional neural network (CNN) model optimization techniques—Review for medical imaging
    AIMS Mathematics · American Institute of Mathematical Sciences · 2024
  3. A Novel Fragmented Approach for Securing Medical Health Records in Multimodal Medical Images
    Applied Sciences · Multidisciplinary Digital Publishing Institute · 2024
  4. DeepFruit: A dataset of fruit images for fruit classification and calories calculation
    Ghazanfar Latif, Nazeeruddin Mohammad, Jaafar Alghazo
    Data in Brief · Elsevier BV · 2023
  5. Writer verification of partially damaged handwritten Arabic documents based on individual character shapes
    PeerJ Computer Science · PeerJ, Inc. · 2022
  6. Multiclass tumor identification using combined texture and statistical features
    Medical & Biological Engineering & Computing · Springer Science+Business Media · 2022
  7. COVID-19 Pneumonia Detection Using Optimized Deep Learning Techniques
    Diagnostics · Multidisciplinary Digital Publishing Institute · 2021
  8. An Automatic Arabic Sign Language Recognition System based on Deep CNN: An Assistive System for the Deaf and Hard of Hearing
    International Journal of Computing and Digital Systems · 2020
  9. ArASL: Arabic Alphabets Sign Language Dataset
    Data in Brief · Elsevier BV · 2019
  10. Enhanced MR Image Classification Using Hybrid Statistical and Wavelets Features
    IEEE Access · Institute of Electrical and Electronics Engineers · 2018
  11. Plant Seedling classification in Harsh Environment using Preprocessed Deep CNN
    Ghazanfar Latif, Al Khobar, Saudi Arabia, Nazeeruddin Mohammad, Saudi Arabia, Jaafar Alghazo
  12. Online Automatic Calories Estimation of Produce through Convolutional Neural Networks

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