Xiaohui Liang
About Xiaohui Liang
Xiaohui Liang is an Associate Professor at the University of Massachusetts Boston, where he leads a research project focused on using voice assistant systems for early detection of cognitive decline. He has held various academic positions and has a strong background in computer science, having studied at Shanghai Jiao Tong University and the University of Waterloo.
Current Position at UMass Boston
Xiaohui Liang serves as an Associate Professor at the University of Massachusetts Boston. She has held this position since 2021. In her role, she focuses on advancing research and education in computer science, particularly in the area of cognitive decline detection through innovative technologies.
Previous Experience in Academia
Prior to her current role, Xiaohui Liang was an Assistant Professor at the University of Massachusetts Boston from 2015 to 2021. She also worked as a Postdoctoral Researcher at Dartmouth College for one year, from 2014 to 2015. Additionally, she served as a Teaching Assistant at Shanghai Jiao Tong University from 2006 to 2008.
Research Focus and Projects
Xiaohui Liang leads the R01 project titled 'Exploiting Voice Assistant Systems for Early Detection of Cognitive Decline'. This research aims to utilize voice assistant technologies to identify early signs of cognitive decline. More information about her research can be found on the project website, cogvox.org.
Educational Background
Xiaohui Liang earned her Bachelor's degree in Computer Science from Shanghai Jiao Tong University, completing her studies from 2002 to 2006. She continued her education at the same institution, obtaining a Master of Science (MS) in Computer Science from 2006 to 2009. Furthering her academic pursuits, she studied at the University of Waterloo from 2009 to 2013.
Professional Experience in Project Coordination
Before her academic roles, Xiaohui Liang worked as a Project Coordinator at Care In Motion (CIM) in Waterloo, Canada, from 2012 to 2013. This position involved managing projects related to healthcare technology and innovation.