Chen-Hsiang (Jones) Yu

yuj6 (at)
chyu (at)

Chen-Hsiang (Jones) Yu is an Associate Professor of Computer Science and Networking at Wentworth Institute of Technology. He is also an affiliated faculty member at the Center for Dynamical Biomarkers, Beth Israel Deaconess Medical Center / Harvard Medical School, and the HCI Lab at Tufts University. He earned B.Eng. and M.S. in Computer Science and Information Engineering (CSIE) from Tamkang University (1998) and National Taiwan University (2000), and Ph.D. in Computer Science from MIT (2012) under Prof. Rob Miller's guidance. He has won Blittersdorf Faculty Award, Sagan Faculty Fund Grants Award, five times of Presidential EPIC Mini Grants Awards, IEEE CCWC Best Paper Award, ACM UIST Best Poster Award, ACM CHI Student Research Competition and several competitions, including MIT’s First Mobile App Development competition, MIT $100K ESC competition, MIT iCampus Prize, etc. He was also nominated for The President's Award for three times, two times in Distinguished Teaching and one time in Distinguished Scholarship. During his work in industry, he has joined to develop more than 12 commercialized mobile phones and several mobile applications.

In addition to regular teaching in Computer Science, he has created two Externally-collaborative, Project-based, Interdisciplinary Curricula (EPIC) courses and applied mobile technologies to Biomedical Engineering, Mechanical Engineering and Architecture fields for EPIC research projects. To advance this success, he invents and teachs a new "International EPIC Project" course that combines the students from different schools in different countries, including China and the U.S., and the teaching method is a hybrid model, i.e. online and on-campus. He enjoys working with a diverse student body and has contributed to different community outreach programs, including RAMP program (A Six-Week Summer Bridge Program for High School Students), Sociedad Latina STEM Program for Boston High School Students, etc. His research in HCI (Human-Computer Interaction) focuses on mobile health, AI on mobiles, web customization and automation, and readability enhancement.