Assistant Professor, Computer Science
- Post Doctoral Research Fellow, 2017, Harvard university, Mass. Eye & Ear Institute, Schepens Eye Research Institute, Bowers Lab, Boston, MA
- Ph.D. 2016 University of Massachusetts, Boston, MA, Computer Science.
- M.S. 2009 Tufts University, Medford, MA, Computer Science.
- BSc. 2005 King AbdulAziz University, Jeddah, Saudi Arabia, Computer Science
Nada Attar is an Assistant Professor of Computer Science in the College of Science - Computer Science Department at SJSU. Attar’s work focuses on Computer Vision and Human-Computer Interaction (HCI). Her recent research in HCI can play a critical role in teaching the innovation of user interface design and implementation of high-performance applications, while considering the ethics and diversity in computer science. Her work focuses on ethnocentric and gender biases and how it can be applied via the use of human-computer interface. Attar’s research in Computer Vision focuses on Facial Expression Recognition (FER), where racial and gender bias could be embedded in the datasets. Her current studies investigate building models to measure bias in computer vision datasets. Attar received her Ph.D. in Computer Science from University of Massachusetts in Boston with a focus on user experience and performance optimization using cognitive state measurement. She has a Master's in Computer Science from Tufts University concentrated on human computer interaction. She completed her post-doctoral fellowship at Schepens Eye Research Institute - Harvard Medical School, working on driving simulation measuring eye movement and facial expression data of users.