Can Computers Read Our Eyes? Using Eye-tracking Input for Speed Reading Application
Nada Attar earned her Ph.D. in Computer Science from the University of Massachusetts Boston in December 2016. Her research interests span designing and testing interfaces that enhance user performance. Her focus is on using machine learning to filter psycho-physical data and exploring neural networks to understand data patterns that reflect the user’s efficiency. During her Ph.D., she was a Fellow at the Harvard University in the Visual Learning Laboratory and designed a mobile interface for dyslexia. She made new paradigms to estimate the cognitive state of users within a short interval of a task. Nada was also a lecturer in computer science at UMass Boston and worked for IBM T. J. Watson Research Center in New York in their Customer Experience and THINK labs. She completed her Master's in Computer Science at Tufts University. Nada has a patent, several publications including press, and she is the founder president of Computer Science Graduate Students Association (CSGSA) at UMass.