William Eberle
Scholar

William Eberle

Google Scholar ID: v_Lx8lYAAAAJ
Tennessee Technological University
Data MiningAnomaly Detection
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Citations & Impact
All-time
Citations
1,565
 
H-index
17
 
i10-index
31
 
Publications
20
 
Co-authors
0
 
Contact
Emailweberle@tntech.eduCVOpen ↗
Publications
1 items
Adaptive-GraphSketch: Real-Time Edge Anomaly Detection via Multi-Layer Tensor Sketching and Temporal Decay
2025
Cited
0
Resume
Research Experience
  • - Worked for General Dynamics, Lockheed Martin, and MCI (now Verizon), designing, developing, and managing diverse applications such as flight simulators, decision support systems, and fraud detection systems.
  • - Currently doing research and teaching at Tennessee Tech University.
Education
  • - Ph.D. in Computer Science from the University of Texas at Arlington, 2007.
  • - B.A. in Computer Science from the University of Texas at Austin, 1986.
Background
  • 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.
Miscellany
  • Bill Eberle and his wife Robin have three children, Ryan, Justin, and Rachel, as well as three in-laws, Caitlyn, Jake, and Meredith. He is a member of ACM and IEEE.