Euijin Choo

Dr. Euijin (Alley) Choo is an Assistant Professor in the Department of Computer Science at the University of Alberta, specializing in data-driven cybersecurity and big data analytics. Her research focuses on AI-based cybersecurity solutions, anomaly detection in network traffic, and adversarial attacks on federated learning systems. She holds a Ph.D. from North Carolina State University and has held roles at Qatar Computing Research Institute, Korea University, and the University of Missouri-Rolla.

Education:

• Ph.D., Computer Science, North Carolina State University (2015)
• M.S., Computer Science & Engineering, Korea University (2008)
• B.S. Dual Degree in Computer Science & Mathematics, Korea University (2006)

Research Interests:

• Security and big data analysis intersections
• Federated learning security and privacy
• Anomaly detection in network logs and enterprise systems
• Malware/phishing detection using graph inference
• AI-driven threat intelligence aggregation

Recent Grants:

• Mitacs Accelerate Program Grant: Fraud Detection in Financial Graphs ($60,000, 2025)
• National CyberSecurity Consortium Grant: IntruderInsight ($2M, 2025-2027)
• NSERC Discovery Grant: Threat Detection Framework ($180,000, 2025-2031)

Awards:

• Best Paper Award at DBSEC 2015
• NSERC Early Career Researcher Award (2025)
• Provost Fellowship (NC State, 2009-2010)

Labs/Teams: Leads the Data-driven Network and Cyber Security (DANS) Lab, focusing on federated learning defenses, compromised entity detection, and malicious domain analysis.