I am now an assistant professor at the East Carolina University. My research interests are data mining, data visualization, and interdisciplinary research (such as fire simulation and environmental model improvements).
I received my Ph.D. and Master degree from University of Nevada, Reno and my major is Computer Science and Engineering. My advisors are Dr. Sergiu Dascalu and Dr. Frederick C Harris, Jr. I received my bachelor degree from Jilin University in 2013, majoring in Computer Science.
RA positions are available. If you are interested in research and want to be my research assistant, Please email me your CV, transcripts, TOEFL, and GRE scores, and everything else that you believe will help your application.
NSF: Collaborative Research: IUSE: EHR: A Student-Centered Personalized Learning Framework to Advance Undergraduate Robotics Education Role: PI
This project aims to enhance undergraduate robotics education by using a student-centered personalized learning framework. We will evaluate whether learning gains and identification as a roboticist occur at community colleges and universities without faculty whose expertise is in robotics research and instruction.
NIH: Characterizing Brain Activation and Postural Response During Concurrent Cognitive Tasks in the Presence of Optic Flow Stimulation: A Functional Near-Infrared Spectroscopy Study Role: CoPI
The project aims to use VR techniques to collect and research the data of balance control and neural resource allocation with an illusion of self-motion provided by optic flow stimulation and concurrent auditory reaction time tasks.
National Science Foundation, IUSE/PFE:RED: PPSE – From Programmers to Professional Software Engineers: Revolutionary Curricular Role: Senior Personnel
The project aims to achieve professional formation of software engineers through a non-course-centric innovative curriculum, inclusive pedagogy, reusable and personalizable teaching and learning content.
National Science Foundation, IUSE: EHR: Assessing Virtual Reality Field Experiences for Enhanced Learning in the Geosciences Role: Senior Personnel
The project has two core goals. First, we will evaluate the learning gains and implementation challenges afforded by different VR modalities. Second, we will develop and pilot a model for disseminating VR content and best practices in geoscience education.
North Carolina Sea Grant, Mitigating the effects of storm water flooding in coastal regions using machine learning techniques Role: Co-PI
The goal of the proposed project is to make coastal communities more resilient by providing coastal water managers with the tools for addressing coastal storm water flooding. The research questions that will be addressed in this project are: “when would water managers need to turn on groundwater pumps to start lowering the water table based on current groundwater levels, forecasted rainfall amounts, and other variables?” and “how effective is this approach in mitigating storm water flooding in coastal regions?”