Xiaoxuan Wang

Xiaoxuan Wang is a researcher at the Network and Systems Engineering department of the Royal Institute of Technology (KTH). Their work focuses on optimizing machine learning processes in networked systems, particularly through feature selection and statistical methods for cybersecurity applications.

Research Trends: Analysis of the four articles (2020-2024) reveals expertise in

• Developing online feature selection techniques for networked systems
• Applying statistical learning to intrusion detection
• Designing low-overhead machine learning architectures
• Network security evaluation through testbed measurements