Research and Publications

Research and Publications

Dr. Ameen Banjar has an extensive portfolio of research in Machine Learning (ML), Deep Learning, and Data Science. He focuses on applying AI-driven solutions to Industry 4.0, smart manufacturing, and intelligent data analytics. His work has been widely recognized, with numerous citations and contributions to high-impact journals.

Recent and Key Publications in Machine Learning

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: ResearchGate

4️⃣ "An Efficient Support Vector Machine Algorithm for Network Outlier Detection" (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: IEEE Access

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

• Authors: Ameen Banjar et al.

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

• Link: ResearchGate

🔗 For a full list of publications, visit my:

• Google Scholar

• ResearchGate

• ORCID Profile

Ongoing Research Projects in Machine Learning

🚀 Machine Learning for Smart Manufacturing (Industry 4.0)

• Developing AI-driven predictive maintenance models for industrial machinery.

• Implementing deep learning models to optimize production line efficiency.

📊 Big Data and Deep Learning for Predictive Analytics

• Applying CNNs and LSTMs for real-time data forecasting in financial and industrial sectors.

• Exploring transformers (BERT, GPT) for advanced data-driven decision-making.

🔬 Medical AI and Bioinformatics

• Researching AI-based diagnostic tools using CNNs for medical imaging.

• Developing ML models for protein sequence classification in biomedical research.

🛡 Cybersecurity and Anomaly Detection

• Building AI-enhanced intrusion detection systems using SVM and deep learning.

• Improving network security through ML-driven threat prediction.

Research Groups and Collaborations

Dr. Ameen Banjar collaborates with research teams focusing on:

• AI and Data Science at the University of Jeddah

• Intelligent Systems and Automation for Industry 4.0 Applications

• Medical AI and Bioinformatics Research

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