Arlen Fan

Arlen Fan is a researcher at the School of Computing and Augmented Intelligence at Arizona State University and a member of the VADER Lab. His research focuses on visual analytics, interactive machine learning, and explainable artificial intelligence. In academia, Arlen Fan has published several papers addressing issues such as deception in data visualization, analytical frameworks for transfer learning processes, and spatial-temporal data analysis. His work contributes important visualization tools and methods to the fields of data science and artificial intelligence, while also advancing research in identifying vulnerabilities in machine learning models and developing policy decision support systems.

• 2020–Present·Arizona State University·Researcher
  • Focused on research in visual analytics, spatial-temporal analysis, and explainable artificial intelligence. Developed decision support systems and studied deception issues in data visualization.

• Present·Arizona State University·Ph.D.
  • Research area: Data Visualization and Artificial Intelligence.