Research and Publications

Research and Publications

Prof. Ameen Banjar has an extensive portfolio of research in Machine Learning (ML), Deep Learning, and Data Science. His current work focuses on digital health for diabetes technology, safety-oriented evaluation of neural digital twins, and federated learning for intrusion detection. His work has been widely recognized, with numerous citations and contributions to high-impact journals.

Recent and Key Publications

⭐ "Forecasting accuracy is not enough: safety-oriented evaluation of neural digital twins prior to in-silico insulin and carbohydrate intervention in type 1 diabetes" (2026)

• Authors: Ahmed Ibrahim, Ameen Banjar, Simon Harper, Ala Alarood, Eesa Alsolami

• Frontiers in Endocrinology — https://doi.org/10.3389/fendo.2026.1958918

⭐ "Pre-Ramadan time-below-range stratifies the simulated pump basal-rate dose–response during Ramadan fasting: a five-policy paired virtual-patient study" (2026)

• Authors: Ameen Banjar

• Frontiers in Endocrinology — https://doi.org/10.3389/fendo.2026.1922149

1️⃣ "E-AppleNet: An Enhanced Deep Learning Approach for Apple Fruit Leaf Disease Classification" (2025)

• Authors: Ameen Banjar, Ali Javed, Marriam Nawaz, Hussain Dawood

• Summary: Developed a deep learning model for accurate plant disease classification using convolutional neural networks (CNNs), improving early detection for agricultural management.

• Link: ResearchGate

2️⃣ "Big Data Applications: Overview, Challenges, and Future Directions" (2024)

• Authors: Afzal Badshah, Ali Daud, Riad Alharbey, Ameen Banjar, Amal Bukhari, Bader Alshemaimri

• Summary: Provides an overview of big data applications in Industry 4.0, highlighting ML-driven insights and optimization techniques.

• Link: SpringerLink

3️⃣ "Climate Change Sentiment Analysis Using Domain-Specific Bidirectional Encoder Representations From Transformers (BERT)" (2024)

• Authors: V. S. Anoop, T. K. Ajay Krishnan, Ali Daud, Ameen Banjar, Amal Bukhari

• Summary: Utilized NLP-based transformers to analyze public sentiment on climate change, showcasing ML applications in social and environmental studies.

• Link: https://doi.org/10.1109/ACCESS.2024.3441310

4️⃣ "An Efficient Support Vector Machine Algorithm Based Network Outlier Detection System" (2024)

• Authors: Omar Alghushairy, Raed Alsini, Zakhriya Alhassan, Abdulrahman A. Alshdadi, Ameen Banjar

• Summary: Designed an SVM-based ML model for real-time anomaly detection in network traffic, enhancing cybersecurity measures.

• Link: https://doi.org/10.1109/ACCESS.2024.3364400

5️⃣ "Deep-AGP: Prediction of Angiogenic Protein by Integrating CNN with Discrete Cosine Transform" (2023)

• Authors: Farman Ali, Wajdi Alghamdi, Alaa Omran Almagrabi, Omar Alghushairy, Ameen Banjar, Majdi Khalid

• Summary: Proposed a hybrid deep learning model to predict angiogenic proteins, improving bioinformatics applications in medical AI.

• Link: https://doi.org/10.1016/j.ijbiomac.2023.125296

🔗 For a full list of publications, visit my:

• Google Scholar

• ResearchGate

• ORCID Profile

Ongoing Research Projects

🩺 Digital Health and Diabetes Technology

• Safety-oriented evaluation of neural digital twins and virtual-patient cohorts for type 1 diabetes.

• Simulation studies of insulin dosing during Ramadan fasting.

🔐 Blockchain-based Access Control for Healthcare

• An effective blockchain-based access control model with user access monitoring for healthcare.

• University of Jeddah grant UJ-24-SUTU-1476 (Global Partnerships Program).

📡 UAV Positioning in Future Wireless Networks

• Efficient 3D positioning of UAVs and user association in future wireless networks.

• University of Jeddah grant UJ-24-DR-1476-1 (Distinguished Research Program).

🛡️ Federated Learning for Intrusion Detection

• Privacy-preserving intrusion detection for drone and base-station communication.

• Dynamic multi-scale attention networks trained with federated learning.

Research Groups and Collaborations

Prof. Ameen Banjar collaborates with research teams focusing on:

• AI and Data Science at the University of Jeddah

• Digital Health and Diabetes Technology

• Medical AI and Bioinformatics Research

For research collaborations, PhD/Master’s supervision, or academic discussions, feel free to email abanjar@uj.edu.sa.