Erik Andersen

Erik Andersen is an External Lecturer at the Institute of Mechanical and Electrical Engineering, affiliated with SDU Microelectronics at the University of Southern Denmark. His research focuses on outlier detection and distance metrics in computer science, particularly applied to traffic flow analysis.

Research Interests:

• Outlier Detection
• Distance Metrics (e.g., Bhattacharyya Distance)
• Traffic Flow Analysis
• Data Mining and Analytics

Research Output: In 2022, he co-authored a paper on evaluating distance metrics for outlier detection in traffic flow at the IEEE International Conference on Mobile Data Management (MDM 2022). This work intersects computer science, data mining, and traffic modeling.

Collaborations: Recent collaborations span topics like traffic flow outlier detection and local outlier factor algorithms, with researchers such as M. Chiarandini and A. Zimek.