Anthony O. Ekle is a PhD candidate in Computer Science at Tennessee Tech University, specializing in graph-based machine learning, anomaly detection, and AI for autonomous systems. His research focuses on real-time anomaly detection in dynamic graphs, with applications in cybersecurity, autonomous vehicles, and AI-driven predictive modeling. He has published in IEEE, ACM TKDD, and Applied Sci Journal. Anthony is passionate about AI research, large-scale ML systems, and advancing AI applications in real-world problems.