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Co-investigator network
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
AustraliaCo-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)
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Text-independent writer verification device for cursively connected text
US 12,019,708 · United States Patent and Trademark Office · 2024
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Writer verification method for handwritten cursively connected text
US 12,019,709 · United States Patent and Trademark Office · 2024
Journal Articles (12)
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Deep Learning-based Arabic Sign Recognition System for Automated Communication with Hearing Impaired Individuals.
KSII Transactions on Internet & Information Systems · Korea Society of Internet Information · 2024
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Deep convolutional neural network (CNN) model optimization techniques—Review for medical imaging
Ghazanfar Latif, Jaafar Alghazo, Majid Ali Khan, Ghassen Ben Brahim, Khaled Fawagreh, Nazeeruddin MohammadAIMS Mathematics · American Institute of Mathematical Sciences · 2024
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A Novel Fragmented Approach for Securing Medical Health Records in Multimodal Medical Images
Ghazanfar Latif, Jaafar Alghazo, Nazeeruddin Mohammad, Sherif E. Abdelhamid, Ghassen Ben Brahim, Kashif AmjadApplied Sciences · Multidisciplinary Digital Publishing Institute · 2024
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DeepFruit: A dataset of fruit images for fruit classification and calories calculation
Ghazanfar Latif, Nazeeruddin Mohammad, Jaafar AlghazoData in Brief · Elsevier BV · 2023
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Writer verification of partially damaged handwritten Arabic documents based on individual character shapes
PeerJ Computer Science · PeerJ, Inc. · 2022
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Multiclass tumor identification using combined texture and statistical features
Ghazanfar Latif, Abul Bashar, D. N. F. Awang Iskandar, Nazeeruddin Mohammad, Ghassen Ben Brahim, Jaafar AlghazoMedical & Biological Engineering & Computing · Springer Science+Business Media · 2022
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COVID-19 Pneumonia Detection Using Optimized Deep Learning Techniques
Diagnostics · Multidisciplinary Digital Publishing Institute · 2021
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An Automatic Arabic Sign Language Recognition System based on Deep CNN: An Assistive System for the Deaf and Hard of Hearing
Ghazanfar Latif, Nazeeruddin Mohammad, Roaa AlKhalaf, Rawan AlKhalaf, Jaafar Alghazo, Majid Ali KhanInternational Journal of Computing and Digital Systems · 2020
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ArASL: Arabic Alphabets Sign Language Dataset
Data in Brief · Elsevier BV · 2019
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Enhanced MR Image Classification Using Hybrid Statistical and Wavelets Features
IEEE Access · Institute of Electrical and Electronics Engineers · 2018
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Plant Seedling classification in Harsh Environment using Preprocessed Deep CNN
Ghazanfar Latif, Al Khobar, Saudi Arabia, Nazeeruddin Mohammad, Saudi Arabia, Jaafar Alghazo
- Online Automatic Calories Estimation of Produce through Convolutional Neural Networks
Conference Papers (8)
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Monkeypox and Chickenpox Skin Lesions Classification Using Hybrid Deep Learning Features
Emaan Nazeeruddin, Ghazanfar Latif, Nazeeruddin Mohammad2025
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Detection of AI-written and human-written text using deep recurrent neural networks
Fourth Symposium on Pattern Recognition and Applications (SPRA 2023) · 2024
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Malicious URL Detection and Categorization Using Machine Learning Techniques
Emaan Nazeeruddin, Ghazanfar Latif, Nazeeruddin Mohammad2024
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Combating medical image tampering using deep transfer learning
AIP conference proceedings · American Institute of Physics · 2024
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Plant Seedling Classification Using Preprocessed Deep CNN
Ghazanfar Latif, Nazeeruddin Mohammad, Jaafar Alghazo2023
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Communicating with the Deaf and Hard of Hearing through Automatic Arabic Sign Language Translator
Journal of Physics Conference Series · IOP Publishing · 2021
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Automatic Fruits Calories Estimation through Convolutional Neural Networks
2020
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Automated Grading for Handwritten Answer Sheets using Convolutional Neural Networks
2019
Explore the full research record
Browse every AIRL publication by type and research pillar, or return to the team overview.