Zhi Zheng is a Research Assistant Professor in the department of Electrical and Computer Engineering at Michigan Tech. She received her B.S. (2008) in Biomedical Engineering and her M.S. (2011) in Pattern Recognition and Intelligent Systems from Xidian University, as well as her M.S. (2013) and Ph.D. (2016) in Electrical Engineering from Vanderbilt University. Her research interest covers a wide variety of topics in human-robot interaction, human-computer interaction, computer vision, machine learning, and developmental psychology. She was also named as a Blended and Online Learning Fellow of Vanderbilt University for conducting engineering education research. Dr. Zheng has designed and developed multiple advanced machine-assisted adaptive intervention systems for young children with ASD. Until 2016, she had 21 research articles published in leading journals and conference proceedings, and received a best paper award in HCI 2015 as well as a best student paper award nomination in ICORR 2013. Her research was selected by the 20th annual Coalition for National Science Funding Capitol Hill Exhibition & Reception, and has been reported by Medias (e.g. NSF science 360 and WSMV-TV Nashville Channel 4). Dr. Zheng also has been actively involved in teaching and demoing technologies to help K-12 students learn STEM.