Abid Mehmood

• Artificial Intelligence, Machine Learning, Neural Networks, and Deep Learning
• Operating Systems, Parallel Programming, and High-Performance Computing
• Software Engineering, Software Design, and Software Testing
• Programming and Software Development Using Python and Java
• Graduate Research Methods and Doctoral Dissertation Preparation
• Applied Computing Projects and Scholarly Communication

• Trustworthy and Secure Artificial Intelligence: Robust, privacy-preserving, and security-aware machine learning.
• Federated and Distributed Learning: Collaborative learning from heterogeneous data, malicious-client detection, and privacy–utility tradeoffs.
• Computer Vision and Anomaly Detection: Efficient models for image analysis, video understanding, and abnormal-pattern detection.
• AI for Precision Agriculture: Hyperspectral and remote-sensing analysis, crop-anomaly detection, disease identification, and yield estimation.
• Applied AI for Cybersecurity, Healthcare, and Finance: Phishing detection, biomedical image analysis, and financial fraud detection.

Dr. Mehmood has led or co-led 17 funded research projects to completion, serving as Principal Investigator on seven. These include the US$175,000 CyberAg-funded Secure AI-Driven Crop Anomaly Detection System (SACADS) at Dakota State University, completed in June 2026, and 16 earlier projects at King Faisal University totaling SAR 418,000. The projects span secure AI, precision agriculture, biomedical imaging, anomaly detection, and intelligent systems.

• Secure AI-Driven Crop Anomaly Detection System (SACADS)
• Energy-Efficient Clustering and Routing for Wireless Sensor Networks
• Real-Time Driver Depression Monitoring for Accident Prevention in Smart Vehicles
• Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication
• SBXception: A Shallower and Broader Xception Architecture for Efficient Classification of Skin Lesions
• Sentiment Analysis for Estimation of Vaccine Popularity
• Diagnosis of Glaucoma from Retinal Images
• An Enhanced Automated Fruit Disease Identification and Classification Using a New Ensemble Classification Method
• Automated Estimation of Crop Yield Using Artificial Intelligence and Remote Sensing Technologies
• A Hybrid Model to Predict Stock Prices
• Abdomen Fat and Liver Segmentation of CT Scan Images for Determining Obesity and Fatty Liver Correlation
• An Aspect-Oriented Model-Driven Code Generation Approach
• A Systematic Study on a Customer’s Next-Items Recommendation Techniques
• A Deep Learning-Based Model for Date Fruit Classification
• LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection
• Efficient Anomaly Detection in Crowd Videos Using Pre-Trained 2D Convolutional Neural Networks
• Abnormal Behavior Detection in Uncrowded Videos with Two-Stream 3D Convolutional Neural Networks

Journal Articles

• Shah Noor, Sibghat Ullah Bazai, Muhammad Imran Ghafoor, Alamgir Naushad, Abid Mehmood, Qazi Mudassar Ilyas, Muhammad Nasir Mumtaz Bhutta, “Robust Phishing URL Detection Using FastText Embeddings and Deep Sequential Models,” PeerJ Computer Science, 12:e4074, 2026.
• Hassan Ali, Abid Mehmood, David Noule Tolno, Sery Gahouidi Junior Thierry S., Muhammad Saeed, Naeem Ahmed, “KMS-Net: Kolmogorov–Arnold-Based Multi-Scale Attention Network for Cardiac Segmentation,” IEEE Access, vol. 14, pp. 41230–41247, 2026.
• Muhammad Akram, Sibghat Ullah Bazai, Muhammad Imran Ghafoor, Saira Akram, Qazi Mudassar Ilyas, Abid Mehmood, Sajid Iqbal, Muhammad Asim Rafique, “EEMLCR: Energy-Efficient Machine Learning-Based Clustering and Routing for Wireless Sensor Networks,” IEEE Access, vol. 13, pp. 70849–70871, 2025.
• Faqir Gul, Mohsin Shah, Mushtaq Ali, Tanzeela Qazi, Muneer Ahmad, Abid Mehmood, “An Effective Adaptive Downsampling Method for High-Resolution Multi-Panel Image Segmentation,” IEEE Access, vol. 13, pp. 44872–44883, 2025.
• Hassan Ali, Abid Mehmood, Naeem Ahmed, Muhammad Saeed, Ahmad Ijaz, “A Lightweight Real-Time CCTV Surveillance Framework for the Education Sector Using Machine Learning,” Journal of Advances in Information Technology, vol. 16, no. 8, pp. 1072–1082, 2025.
• Abid Mehmood, Qazi Mudassar Ilyas, Muneer Ahmad, Zhongliang Shi, “Test Suite Optimization Using Machine Learning Techniques: A Comprehensive Study,” IEEE Access, vol. 12, pp. 168645–168671, 2024.
• Malik Hasnain Ahmed, Yousaf Saeed, Abid Mehmood, Muhammad Saeed, Naeem Ahmed, Qazi Mudassar Ilyas, Sajid Iqbal, Naushad Abid, “Real-Time Driver Depression Monitoring for Accident Prevention in Smart Vehicles,” IEEE Access, vol. 12, pp. 79838–79850, 2024.
• Shafi Ullah, Sibghat Ullah Bazai, Mohammad Imran, Qazi Mudassar Ilyas, Abid Mehmood, Muhammad Asim Saleem, et al., “Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges,” Computers, Materials & Continua, vol. 79, no. 1, pp. 93–115, 2024.
• Abid Mehmood, Yonis Gulzar, Qazi Mudassar Ilyas, Abdoh Jabbari, Muneer Ahmad, Sajid Iqbal, “SBXception: A Shallower and Broader Xception Architecture for Efficient Classification of Skin Lesions,” Cancers, vol. 15, no. 14, article 3604, 2023.
• Muhammad Saeed, Naeem Ahmed, Abid Mehmood, Muhammad Aftab, Rashid Amin, Shahid Kamal, “Sentiment Analysis for COVID-19 Vaccine Popularity,” KSII Transactions on Internet and Information Systems, vol. 17, no. 5, p. 1377, 2023.
• Ayesha Shoukat, Shahzad Akbar, Syed Ale Hassan, Sajid Iqbal, Abid Mehmood, Qazi Mudassar Ilyas, “Automatic Diagnosis of Glaucoma from Retinal Images Using Deep Learning Approach,” Diagnostics, vol. 13, no. 10, article 1738, 2023.
• Abid Mehmood, Muneer Ahmad, Qazi Mudassar Ilyas, “On Precision Agriculture: Enhanced Automated Fruit Disease Identification and Classification Using a New Ensemble Classification Method,” Agriculture, vol. 13, no. 2, article 500, 2023.
• Qazi Mudassar Ilyas, Muneer Ahmad, Abid Mehmood, “Automated Estimation of Crop Yield Using Artificial Intelligence and Remote Sensing Technologies,” Bioengineering, vol. 10, no. 2, article 125, 2023.
• Qazi Mudassar Ilyas, Khalid Iqbal, Sidra Ejaz, Abid Mehmood, Surbhi Bhatia, “A Hybrid Model to Predict Stock Closing Price Using Novel Features and Fully Modified HP Filter,” Electronics, vol. 11, no. 21, article 3588, 2022.
• Yonis Gulzar, Ahmed Alkinani, Ali A. Alwan, Abid Mehmood, “Abdomen Fat and Liver Segmentation of CT Scan Images for Determining Obesity and Fatty Liver Correlation,” Applied Sciences, vol. 12, no. 20, article 10334, 2022.
• Qazi Mudassar Ilyas, Abid Mehmood, Ashfaq Ahmad, Muneer Ahmad, “A Systematic Study on a Customer’s Next-Items Recommendation Techniques,” Sustainability, vol. 14, no. 12, article 7175, 2022.
• Abid Mehmood, Dayang N. A. Jawawi, “AJFCode: An Approach for Full Aspect-Oriented Code Generation from Reusable Aspect Models,” KSII Transactions on Internet and Information Systems, vol. 16, no. 6, p. 1973, 2022.
• Khalied Albarrak, Yonis Gulzar, Yasir Hamid, Abid Mehmood, Arjumand Bano Soomro, “A Deep Learning-Based Model for Date Fruit Classification,” Sustainability, vol. 14, no. 10, article 6339, 2022.
• Abid Mehmood, “LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection,” Sensors, vol. 21, no. 24, article 8501, 2021.
• Abid Mehmood, “Efficient Anomaly Detection in Crowd Videos Using Pre-Trained 2D Convolutional Neural Networks,” IEEE Access, vol. 9, pp. 138283–138295, 2021.
• Abid Mehmood, “Abnormal Behavior Detection in Uncrowded Videos with Two-Stream 3D Convolutional Neural Networks,” Applied Sciences, vol. 11, no. 8, 2021.
• Abid Mehmood, Dayang N. A. Jawawi, “Aspect-Oriented Model-Driven Code Generation: A Systematic Mapping Study,” Information and Software Technology, vol. 55, no. 2, pp. 395–411, 2013.

Conference Papers

• Abel Degu, Abid Mehmood, “RNN, LSTM, and TinyBERT for Fake News Detection: Accuracy, Efficiency, and Source Leakage Under Low-Resource Conditions,” 6th IEEE Cyber Awareness and Research Symposium (CARS), Grand Forks, ND, USA, October 2026.
• Thomas Yarbrough, Abid Mehmood, “Regime Heterogeneity in Unconventional Gas Well Production: Diagnosing Deep Learning Failure,” 6th IEEE CARS, Grand Forks, ND, USA, October 2026.
• Mason Dana, Abid Mehmood, “The Accuracy Illusion in Financial Market Direction Forecasting: Threshold Tuning and Cost-Sensitive Training for Minority-Class Recall Optimization,” 6th IEEE CARS, Grand Forks, ND, USA, October 2026.
• Adam Bradley, Abid Mehmood, “When Deep Learning Loses to a Naive Baseline: Forecasting County-Level Unemployment with RNNs, LSTMs, and Transformers,” 6th IEEE CARS, Grand Forks, ND, USA, October 2026.
• Mahesh Kamepalli, Abid Mehmood, “A Multi-Indicator Trust Framework for Detecting Byzantine Clients in Federated Learning,” IEEE 4th International Conference on Artificial Intelligence, Blockchain and Internet of Things, Central Michigan University, USA, September 2026.
• Bijay Shakya, Julius Hai, Abid Mehmood, Youssef Harrath, Jihene Kaabi, David Wambui, Rabin Gyawali, Khandaker Mamun Ahmed, “Privacy–Utility Tradeoffs in Federated Learning for Hyperspectral Crop Imagery,” International Conference on Applied Computing: Bridging Theory, Innovation, and Real-World Impact, Las Vegas, NV, USA, April 2026.
• David Wambui, Rabin Gyawali, Youssef Harrath, Jihene Kaabi, Khandaker Mamun Ahmed, Abid Mehmood, “Advancing Food Security Through Hyperspectral Crop Anomaly Detection Using Deep Unsupervised Learning,” International Conference on the AI Revolution: Research, Ethics, and Society, Las Vegas, NV, USA, April 2026.
• Muhammad Bhutta, Abid Mehmood, “Evaluating Classical and Quantum Machine Learning for Credit Card Fraud Detection: Performance and Economic Impact,” 5th Cyber Awareness and Research Symposium (CARS), Grand Forks, ND, USA, pp. 1–9, 2025.
• Naeem Ahmed, Muhammad Saeed, Muhammad Aftab, Abid Mehmood, Qazi Mudassar Ilyas, “Knee Osteoarthritis Detection and Classification Using Transfer Learning,” 3rd International Conference on Computing and Information Technology, Tabuk, Saudi Arabia, September 2023.
• Abid Mehmood, Yonis Gulzar, “An Architecture-Based Approach for Modeling Dynamically Adaptive IoT Systems,” International Conference on Computing and Information Technology, Tabuk, Saudi Arabia, pp. 1–6, 2020.

Book Chapters

• Qazi Mudassar Ilyas, Abid Mehmood, “Deep Learning in Remote Sensing for Disaster Management and Humanitarian Aid,” in Deep Learning Applications in Remote Sensing for Climate Change Monitoring, IGI Global Scientific Publishing, pp. 197–236, 2026.
• Sadia Aziz, Qazi Mudassar Ilyas, Abid Mehmood, Ashfaq Ahmad, “Role of Machine Learning in Handling the COVID-19 Pandemic,” in Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence, IGI Global Scientific Publishing, pp. 212–250, 2022.