Research Interests: graph-based anomaly detection, fraud detection, and data mining.
Current Research: graph-based approaches using various domains such as social networks, healthcare, telecommunication call records, financial transactions, insider threats and other security domains.
Industry Experience: telecommunications fraud detection, marketing retention systems, war gaming, and F-16 flight simulators.
Bill Eberle has previously worked for General Dynamics, Lockheed Martin and MCI (Verizon), designing, developing and managing diverse applications such as flight simulator, decision support, and fraud detection systems, and is currently doing research and teaching at Tennessee Tech University. He and his beautiful wife Robin have three children, Ryan, Justin and Rachel, and daughter-in-law Caitlyn.