ABOUT US
In the Visual Attention Lab, we study the attentional mechanisms underlying human vision. We are
particularly interested in investigating how attention is controlled for efficient performance of visual
tasks. Our main research paradigms are eye-movement recording and computational data analysis,
including machine learning, modeling, and simulation. The findings resulting from this research can
also inform the construction of computer vision systems and human-computer interfaces.
particularly interested in investigating how attention is controlled for efficient performance of visual
tasks. Our main research paradigms are eye-movement recording and computational data analysis,
including machine learning, modeling, and simulation. The findings resulting from this research can
also inform the construction of computer vision systems and human-computer interfaces.
THE PEOPLE
Marc Pomplun
Zhimin Xia
Visiting Professor,
Vice President of BIAI
(Boston Institute of
Artificial Intelligence)
Vice President of BIAI
(Boston Institute of
Artificial Intelligence)
Matthew Schneps
Akram Bayat
Research Professor
Shaohua Jia
Farahnaz Ahmed Wick
Ph.D. Candidate
Webpage
Webpage
Ph.D.
Nada Attar
Hsueh-Cheng Wang
Ph.D.
Assistant Professor
