معرفی
David Skillicorn is a Professor at the School of Computing, Queen's University and an Adjunct Professor in the Mathematics and Computer Science department at the Royal Military College. His research focuses on adversarial knowledge discovery with applications in terrorism, cybersecurity, crime, fraud, and financial report analysis. He leads the Adversarial Analytics research group and contributes to social network analysis and human behavior modeling.
Research Interests:
- Adversarial data analytics
- Cybersecurity and fraud detection
- Social network analysis with typed edges
- Deception detection in textual data
- Privacy-preserving systems design
- High-dimensional data modeling
Recent Publications: Focus on security informatics, counterterrorism analytics, and adversarial prediction frameworks. Key themes include novel document ranking systems, robust clustering methods, and semantic sensor development for anomaly detection.
Scientific Contributions:
- 2009 IEEE Technical Achievement Award for adversarial analytics
- Best Paper at IEEE WSE2011 for service-oriented web analysis
- Author of foundational texts on high-dimensional datasets and adversarial knowledge discovery
Teaching Activities: Coordinates courses like CISC251 (Introduction to Analytics), CISC447/CISC866 (Cybersecurity), and specialized grad courses in cybersecurity and policing. Develops pedagogical resources for effective learning techniques and hypermedia-based education.
Academic Genealogy: Ph.D. under Ralph Stanton (University of Manitoba, 1981), with lineage connections to Erdős (Erdős number 3), Gauss, and other mathematical luminaries.
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