Publications & Patents

115+ research outputs. 14 granted US patents.

55+ journal articles (cumulative IF 101+, 92% corresponding author) · 40+ conference papers · 7 book chapters · 1 edited book · 5 posters · 3 theses. Full records on Google Scholar.

Intellectual property

Granted US patents (14)

PatentTitleYearPillar
US 12,518,075Drilling decision system and method of multimodal lithofacies prediction and decision-making2026Applied AI
US 12,111,887Digital pen writer verification device2024Security
US 12,093,344Writer verification device having imaging device2024Security
US 12,045,313Verification system for handwritten Arabic text2024Security
US 12,045,312Text verification device with battery power supply2024Security
US 12,039,006Writer verification device for Arabic handwriting2024Security
US 12,019,709Writer verification method for handwritten cursively connected Arabic2024Security
US 12,019,708Text-independent writer verification device for cursively connected Arabic words2024Security
US 11,914,673System to identify authorship of handwritten text based on individual alphabets2024Security
US 11,829,959System and methods for fully autonomous pothole detection and road-repair determination2023Applied AI
US 11,755,687Text-independent writer verification method and system2023Security
US 11,748,588Automated secure paper-tray access and paper-quota management for public printers2023Applied AI
US 11,393,361Braille Reader System using a deep-learning framework2022Assistive
US 11,227,387Multi-stage brain-tumour image processing method and system2022Health
Peer-reviewed

Journal articles

2026
  1. RP-IoMT: A Robust and Provable Framework for Federated-Learning Privacy-Preserving Intelligence in Healthcare IoMT. CMES — Computer Modeling in Engineering & Sciences.
  2. Ensemble Deep-Learning High-Precision Framework for Breast Cancer Detection from Histopathological Images. Diagnostics 16(5).
  3. Optimized Deep-Learning Framework for Diabetic Retinopathy Detection using Fundus Imaging. Inspire Health Journal 1(1).
  4. Fungal Infection Detection using Custom Fusion-Based Deep-Learning Features. Int. J. Communication Systems & Network Technologies 15(1).
  5. Inaugural Editorial, Inspire Intelligence First Issue. Inspire Intelligence Journal 1(1).
2025
  1. MEDCnet: Memory-Efficient Processing of High-Resolution Fundus Images for Diabetic-Retinopathy Classification. Int. J. Imaging Systems & Technology 35(2).
  2. Enhanced Multi-Class Breast-Cancer Classification from Whole-Slide Histopathology Images. Diagnostics 15(5).
  3. A Novel Hybrid Static Offset-Voltage Calibration Technique for Dynamic Comparators. Integration 102.
2024
  1. A Framework for Microscopic Grain Segmentation & Classification for Mineral Recognition using Hybrid Features. Earth Science Informatics 17(6).
  2. Deep CNN Model Optimization Techniques — Review for Medical Imaging. AIMS Mathematics 9(8).
  3. Acute Lymphoblastic Leukemia Detection using Ensemble Features from Multiple Deep CNN Models. Electronic Research Archive 32(4).
  4. A Novel Fragmented Approach for Securing Medical Health Records in Multimodal Medical Images. Applied Sciences 14(14).
  5. Deep-Learning Arabic Sign-Recognition System for Automated Communication with Hearing-Impaired Individuals. KSII Trans. Internet & Information Systems 18(11).
2023
  1. Multiclass Tumor Identification using Combined Texture and Statistical Features. Medical & Biological Engineering & Computing 61(1).
  2. Deep Learning in Transportation: Optimized Deep Residual Networks for Arabic Traffic-Sign Recognition. Alexandria Engineering Journal 80 (IF 6.8).
  3. Learning at Your Fingertips: An Innovative IoT-Based AI-Powered Braille Learning System. Applied System Innovation 6(5).
  4. Machine Learning in Higher Education: Students' Performance Assessment considering Online Activity Logs. IEEE Access 11.
  5. DeepFruit: A Dataset of Fruit Images for Classification and Calorie Calculation. Data in Brief 50.
  6. Knee Osteoarthritis Detection & Severity Classification using Residual Networks on X-rays. Diagnostics 13(8).
  7. Editorial: AI/ML-Based Medical Image Processing and Analysis. Diagnostics 13(24).
  8. Prediction of Sun-Tracking Photovoltaic System Performance using AI Techniques. Int. J. Computing & Digital Systems 14(1).
2022
  1. Novel Coronavirus and Common Pneumonia Detection from CT Scans using Deep-Learning Features. Viruses 14(8) (IF 5.8).
  2. DeepTumor: Framework for Brain MR Image Classification, Segmentation and Tumor Detection. Diagnostics 12(11).
  3. Deep Learning in Agriculture: Rice-Plant Disease Detection using an Improved CNN Model. Plants 11(17) (IF 4.7).
  4. Glioma Tumor Classification using Deep-Neural-Network Features with SVM Classifier. Diagnostics 12(4).
  5. Diabetic Retinopathy Detection from Fundus Images using Hybrid Deep-Learning Features. Diagnostics 12(7).
  6. Deep-Learning-Based Automatic Mineral-Grain Segmentation and Recognition. Minerals 12(4).
  7. Recent Advances in Brain-Tumor Classification from MR Images: State of the Art 2017–2021. Current Medical Imaging 18(9).
  8. Writer Verification of Partially Damaged Handwritten Arabic Documents based on Individual Character Shapes. PeerJ Computer Science 8.
  9. PCA-WA Approach for Concurrent Control-Chart Pattern Recognition. Operations & Supply Chain Management 15(4).
2021
  1. COVID-19 Pneumonia Detection using Optimized Deep-Learning Techniques. Diagnostics 11(11).
  2. Lung-Opacity Pneumonia Detection with Improved Residual Networks. J. Medical & Biological Engineering 41(5).
  3. Recent Advancements in Fuzzy C-Means Techniques for Brain-MRI Segmentation. Current Medical Imaging 17(8).
  4. Brain MR Image Classification for Glioma Detection using Deep CNN Features. Current Medical Imaging 17(1).
  5. Identifying "At-Risk" Students: An AI-Based Prediction Approach. Int. J. Computing & Digital Systems.
  6. POID: A Passive All-Optical Inter-Rack Interconnect for Data Centers. Wireless Networks 27(1).
  7. Communicating with the Deaf and Hard of Hearing through an Automatic Arabic Sign-Language Translator. J. Physics: Conference Series 1962.
2020
  1. Scheduling & Resource Allocation in Network Traffic using Multi-objective Joint Traffic Engineering. Wireless Networks 26(8).
  2. I-CARES: Advancing Health Diagnosis and Medication through IoT. Wireless Networks 26(4).
  3. Deep-Learning Cognitive-Vision Drone for Automatic Plant-Disease Identification and Spraying. J. Intelligent & Fuzzy Systems.
  4. A Secure Multimedia Processing through Blockchain in Smart Healthcare Systems. ACM Trans. Multimedia Computing (TOMM).
  5. An Automatic Arabic Sign-Language Recognition System based on Deep CNN. Int. J. Computing & Digital Systems 9(4).
  6. Enhanced Numeral Recognition for Multi-Language Numerals using Fuzzy Decision Mechanisms. Int. J. Machine Learning & Computing 10(1).
  7. Enhanced Deep CNN Models for Underwater Fish Classification. Advances in Natural & Applied Sciences 14(2).
2019 & earlier
  1. Enhanced MR Image Classification using Hybrid Statistical and Wavelet Features. IEEE Access 7 (2019).
  2. ArASL: Arabic Alphabets Sign Language Dataset. Data in Brief 23 (2019).
  3. QR-Based Despeckling for Medical Ultrasound Images. Current Medical Imaging 15(7) (2019).
  4. Multi-Language Handwritten Digit Recognition based on Novel Structural Features. J. Imaging Science & Technology 63(2) (2019).
  5. Autonomous Traffic-Sign Detection and Recognition using Deep CNN. Procedia Computer Science 163 (2019).
  6. Multi-Channel CNN Diabetic-Retinopathy Detection from Fundus Images. Procedia Computer Science 163 (2019).
  7. Efficient Routing for Corona-Based Underwater Wireless Sensor Networks. Computing 101(7) (2019).
  8. Cloud-Based Hands-Free E-Learning for Students with Disabilities. IJRTE 8(4) (2019).
  9. Real-Time Saudi Licence-Plate Recognition using Raspberry Pi. IJATCSE 8(1) (2019).
  10. Improving Brain-MR Classification for Tumor Segmentation using Phase Congruency. Current Medical Imaging Reviews 14(6) (2018).
  11. Deep-CNN MR Denoising for Tumor Segmentation using Watershed Transform. Int. J. Engineering & Technology 7(2.3) (2018).
  12. Speckle Suppression in Medical Ultrasound through Schur Decomposition. IET Image Processing 12(3) (2018).
  13. Multimodal Brain-Tumor Segmentation using Neighboring Image Features. JTEC 9(2-9) (2017).
  14. An Online Numeral Recognition System using Improved Structural Features (Arabic & Persian). JTEC 9(2-10) (2017).
  15. Anisotropic-Diffusion Brain-MRI Segmentation and 3D Reconstruction. Int. J. Computational Intelligence Systems 5(3) (2012).
Selected

Conference papers (40+)

  1. Violence Detection in Weakly-Supervised Surveillance via Transformer Attention MIL. IEEE CSNT 2026.
  2. Fungal Infection Detection using Fusion Deep Features. Springer ICIRKM 2026.
  3. Monkeypox & Chickenpox Skin-Lesion Classification with Hybrid Deep Features. IEEE ICICT 2025.
  4. Detection of AI-Written vs Human-Written Text using Deep RNNs. SPIE SPRA 2024.
  5. Malicious URL Detection and Categorization using ML. IEEE CICN 2024.
  6. Combating Medical-Image Tampering using Deep Transfer Learning. AIP 2024.
  7. Flood Detection using Deep Learning from Visual Images. AIP 2024.
  8. Date-Fruit Classification using Transfer Learning. IEEE IRASET 2024.
  9. Arabic Offense-Text Detection in Social Networks with Collaborative ML. IEEE ISAECT 2024.
  10. Defense of Military Installations from UAV-Borne Attacks using Deep Learning. IEEE CSCE 2023.
  11. Plant-Seedling Classification using Preprocessed Deep CNN. IEEE ICCAE 2023.
  12. Seismic-Structure Classification using Novel Features. IEEE CICN 2022.
  13. Oil-Spill Identification using Deep CNNs. IEEE CICN 2022.
  14. Malicious-PDF Detection with Enhanced Feature Sets. IEEE CICN 2022.
  15. Fast Parallel SVM Arrhythmia Detection on GPU Clusters. IEEE CSNT 2021.
  16. Maritime Ship Detection from Satellite Images using CNNs. IEEE CSNT 2021.
  17. Arabic Braille Numeral Recognition using CNNs. Springer ICCCES 2021.
  18. Lung-Cancer Detection from LDCT using Deep CNNs. Springer ICCCES 2021.
  19. CNN-Based Alphabet Identification & Sorting Robotic Arm. Springer ICCCES 2021.
  20. Ultrasound Despeckling & Breast-Cancer Detection using Deep CNN. IEEE RIVF 2020.
  21. EEG-ECG Arrhythmia Classification using Decision Trees. IEEE ICISC 2020.
  22. Right-Whale Classification with Residual Networks. IET SCS 2020.
  23. Email Fraud Detection through Machine Learning. IET SCS 2020.
  24. Smart-Nursery Infant-Sound Classification. IEEE ICEEE 2020.
  25. Automatic Fruit-Calorie Estimation with CNNs. ACM ICCTA 2020.
  26. Automated Grading of Handwritten Answer Sheets using CNNs. IEEE ICTCS 2019.
  27. Affordable Real-Time Licence-Plate Recognition on SoC. IEEE ICTCS 2019.
  28. Scalable Parallel SVM on Cloud Clusters. IET SCS 2019.
  29. Multiclass Brain-Tumor Classification with Region-Growing Segmentation & Wavelet Ensembles. ACM ICCBD 2018.
  30. Deep CNN Recognition of Unified Multi-Language Handwritten Numerals. IEEE ASAR 2018.
  31. Layout Analysis of Scanned Arabic Books. IEEE ASAR 2018.
  32. Melanoma Skin-Lesion Segmentation. ACM ICBET 2018.
  33. Underwater WSN Routing: Void-Hole Avoidance (AINA) & Cluster-Based Power Control (NCC). IEEE 2018.
  34. Cyber-Security Analysis of Internet Banking in Emerging Countries. IEEE ICETAS 2018.
  35. Multiclass Glioma Classification using Block-Based 3D Wavelet Features. IEEE ICEEE 2017.
  36. Automatic Multimodal Brain-Image Classification & 3D Glioma Reconstruction. IEEE GCCCE 2017.
  37. IoT Real-Time Voice Analysis & Smart Monitoring for Disabled People. ICAR 2017.
  38. Eye Click: Eye-Gaze User Interface for Disabled People. ICTHP 2013.
  39. Brain MRI Segmentation and 3D Reconstruction. ICCSCM 2012.
  40. Classification & Segmentation of Brain Tumors using Texture Analysis. AIKED 2010, Cambridge.
Books & more

Chapters, books, theses

Edited book

  1. Proceedings of ICICET 25 — Intelligent Systems & Computational Strategies in Engineering & Technology. Springer Signals & Communication Technology, 2026 (eds. Latif & Alghazo).

Book chapters (7)

  1. Security Enabling for IoT and WSN-Based Data Communication. Taylor & Francis, 2023.
  2. Social Impacts of Technology with IoT, 5G and AI. Taylor & Francis, 2023.
  3. IoT in Future Digital Oil Fields and Smart Wells. Springer, 2020.
  4. IoT: Reformation of Garment Stores and Retail Business Processes. Springer, 2020.
  5. Impact of IoT-Based Smart Cities on Human Daily Life. Springer, 2020.
  6. Data Security and Potential Threats from IT Assets. Springer, 2020.
  7. IoT Cloud-Based Rx Healthcare Expert System. Springer Fog Computing for Healthcare 4.0, 2019.

Theses

  1. Brain MRI Tumor Analysis & Classification using Deep Learning. Ph.D., UNIMAS, 2021 — Best PhD Award, Gold Medal.
  2. Brain Tumor Analysis & Classification of Brain MR Images. M.S., KFUPM, 2014.
  3. Brain Inspector: Detection & 3D Visualization of Brain Tumors. B.S. FYP, FAST-NUCES, 2010 — 1st, ACM Software Competition.

Research posters (5)

Including the InTEX 2018 Bronze-Award brain-tumor visualization poster and the NEOM OXAGON Braille-education poster (2023). Full list available on request.