Education

• PhD (2022) Computer Science, Florida Atlantic University
• MS (2012) Management Information Systems/Information Security, Nova Southeastern University
• BS (1994) Civil Engineering, University of the West Indies

Intellectual Contributions

• Leevy, Joffrey; Zuvieta, Chelsea; Khoshgoftaar, T.M.. (2026). CatBoost for Nonintermittent Demand in the Aviation Aftermarket, International Journal of Reliability, Quality and Safety Engineering, 33(4), Article: 2650006
• Leevy, Joffrey; Hancock, John; Khoshgoftaar, T.M.; Zadeh, Azadeh. (2025). Evaluating the Impact of Majority versus Minority Class Training for One-Class Classification, International Journal on Artificial Intelligence Tools, 34(04n05)
• Zuvieta, C.M.; Leevy, Joffrey; Khoshgoftaar, T.M.. (2025). A Survey on Statistical and ML-based Demand Forecasting Methods for Spare Parts in Aviation, IEEE Access, 13, 44800-44816
• Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi. (2025). Medicare fraud detection: a comparative study on the effectiveness of one-class and binary classification models, International Journal of Computers and Applications, 47(3), 323-328
• Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi; Zadeh, Azadeh. (2025). One-class classification for credit card fraud detection: A detailed study with comparative insights from binary classification, Springer, 117-140
• Lowe, Michael; Prusa, Joseph; Leevy, Joffrey; Khoshgoftaar, Taghi. (2024). Context-Relevant Denoising for Unsupervised Domain-Adapted Sentence Embeddings, 2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI), 13-18
• Leevy, Joffrey; Khoshgoftaar, Taghi; Salekshahrezaee, Zahra. (2024). A Review of Unsupervised Anomaly Detection Techniques for Health Insurance Fraud, 2024 IEEE 10th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), 141-149
• Lowe, Michael; Prusa, Joseph; Leevy, Joffrey; Khoshgoftaar, Taghi. (2024). Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation, Journal of Big Data, 11(1), Article: 86
• Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi; Zadeh, Azadeh. (2023). Investigating the effectiveness of one-class and binary classification for fraud detection, Journal of Big Data, 10(1), 1-16
• Salekshahrezaee, Zahra; Leevy, Joffrey; Khoshgoftaar, Taghi. (2023). The effect of feature extraction and data sampling on credit card fraud detection, Journal of Big Data, 10(1), 1-17
• Leevy, Joffrey; Khoshgoftaar, Taghi; Hancock, John. (2023). Using Random Undersampling and Ensemble Feature Selection for IoT Attack Prediction, International Journal of Reliability, Quality and Safety Engineering, 31(1)
• Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi; Zadeh, Azadeh. (2023). One-Class Classifier Performance: Comparing Majority versus Minority Class Training, 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), 86-91
• Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi. (2023). Assessing One-Class and Binary Classification Approaches for Identifying Medicare Fraud, 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI), 267-272
• Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi. (2023). Comparative analysis of binary and one-class classification techniques for credit card fraud data, Journal of Big Data, 10(1), Article: 118
• Leevy, Joffrey; Johnson, Justin; Hancock, John; Khoshgoftaar, Taghi. (2023). Threshold optimization and random undersampling for imbalanced credit card data, Journal of Big Data, 10(1), Article: 58
• Kemp, Cliff; Calvert, Chad; Khoshgoftaar, Taghi; Leevy, Joffrey. (2023). An approach to application-layer DoS detection, International Journal of Internet of Things and Cyber-Assurance, 10(1), Article: 22
• Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi; Peterson, Jared. (2022). IoT information theft prediction using ensemble feature selection, Journal of Big Data, 9(1), 1-48
• Peterson, Jared; Khoshgoftaar, Taghi; Leevy, Joffrey. (2022). Composition analysis of the Bot-IoT dataset, International Journal of Internet of Things and Cyber-Assurance, 2(1), 31-44
• Leevy, Joffrey; Khoshgoftaar, Taghi; Hancock, John. (2022). Feature evaluation for IoT botnet traffic classification, International Journal of Internet of Things and Cyber-Assurance, 2(1), 87-102
• Leevy, Joffrey; Khoshgoftaar, Taghi; Hancock, John. (2022). IoT attack prediction using big Bot-IoT data, International Journal of Internet of Things and Cyber-Assurance, 2(1), 45-61
• Leevy, Joffrey; Khoshgoftaar, Taghi; Hancock, John. (2022). Evaluating Performance Metrics for Credit Card Fraud Classification, 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI), 1336-1341
• Salekshahrezaee, Zahra; Leevy, Joffrey; Khoshgoftaar, Taghi. (2022). A Class-Imbalanced Study with Feature Extraction via PCA and Convolutional Autoencoder, 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), 63-68

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