Taghi Khoshgoftaar

Taghi Khoshgoftaar is Motorola Professor of Computer Science at FAU, specializing in machine learning for security applications. His research develops novel fraud detection systems for financial and healthcare domains using imbalanced learning techniques.

Recent work focuses on unsupervised methods for credit card fraud and Medicare anomaly detection, emphasizing SHAP-driven feature analysis and model optimization for highly skewed datasets. Contributions address fundamental challenges in big data classification reliability.

Research consistently advances model-agnostic approaches for high-dimensional, noisy datasets. Teaches graduate courses on machine learning fundamentals and AI security applications.