My research lies in the intersection of Human-Computer Interaction (HCI), Usable Privacy, and Design. Traditionally, empirical privacy research has focused on the privacy concerns and needs from the individual user’s level. Nowadays, evolving networked environments, such as the Internet of Things (IoT) and Smart Homes, are transforming the privacy landscape considering the conflicting privacy needs, imbalanced power dynamics, and social confrontations among different stakeholders beyond a single user. Thus, my scholarship shifts the research focus from the privacy experiences of single users to that of multiple stakeholders in these environments. The overarching goal of my research is to develop novel privacy-enhancing technologies to address the privacy needs of multiple stakeholders in shared systems such as the IoT, Smart Homes, and Smart Cities. To achieve the goal, I use qualitative (e.g. interviews), quantitative (e.g. surveys), and design (e.g. systems building, participatory design, speculative design) methodologies.
Prior to joining UMBC, I was a postdoctoral research in the Institite for Software Research at Carnegie Mellong Univeristy. I completed my PhD in Information Science from the School of Information Studies at Syracuse University (2020). Before I joined the PhD program at Syracuse, I was a professional software engineer in a startup in Seattle, WA. I received my Master of Science in Information Management from the Information School at the University of Washington (2014), and Bachelor of Business Administration from Harbin Institute of Technology in China (2012).
For perspective students: I am looking for motivated students to work with me on topics related to HCI, usable privacy and IoT. If you are interested, please send me your CV and a brief introduction of your research interests.