Faculty Expert Profile

Chien-Ming Huang, a computer science professor, studies human-machine "teaming" and creates innovative, intuitive, personalized technologies to provide social, physical, and behavioral support for people with a variety of abilities and characteristics, including children with autism spectrum disorders.

Huang directs Johns Hopkins' interdisciplinary Intuitive Computing Laboratory and is a member of JHU's Malone Center for Engineering in Healthcare and the Laboratory for Computational Sensing and Robotics. An expert in human-robot and human-computer interaction, Huang is passionate about using novel technologies to help special-needs populations. Drawing on human-computer interaction (HCI), robotics, and artificial intelligence (AI), Huang's research has significant applications in healthcare, education, and manufacturing.

His lab develops interactive robot systems that work cooperatively with people to increase task performance and enhance user experience. Specifically, Huang's team focuses on deciphering human behavioral cues (e.g., eye gaze) for recognizing task intent, synthesizing intuitive robot behaviors to facilitate collaborative activities, and developing interfaces and methods for people to re-skill robots to perform custom tasks.