


Member of ACM and IEEE.

Research Interests: graph-based anomaly detection, fraud detection, and data mining.


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 Technological University. He and his beautiful wife Robin have three children: Ryan, Justin and Rachel.