Naser Al Madi works on research in the field of human-computer interaction, focusing on integrating models of human cognition in computer systems to allow these systems to adapt to the needs of the user.

More specifically, Al Madi works on modeling eye movement during reading to estimate comprehension difficulty in real-time, thus allowing computers to take immediate action to aid the reading process. Understanding the strategies and processes applied by readers allows for better tools to enhance the productivity and quality of computer systems.

Al Madi earned his bachelor’s degree in computer science from the University of Jordan and his master’s in computer science from Kent State University. During his time at Kent State, he worked as an instructor of computer science and a researcher in the multimedia lab.

In his free time, Al Madie enjoys playing flamenco guitar, building electronics, and participating in space- and aviation-related activities.