Chien-Ming Huang

schoolJohns Hopkins Universitybar_chart#450 Global Rank
Total Papers
15
HCI Rank
#450
Research Areas
10
Years Active
7

Personal Information

  • KeywordsHuman-Computer InteractionHuman-Robot CollaborationSocial RoboticsArtificial IntelligenceAssistive Technology for Special Populations
  • OrganizationJohns Hopkins University
  • Education (Institution)National Chiao Tung University, Georgia Institute of Technology, University of Wisconsin-Madison
  • Emailchienming.huang@jhu.edu

Social Media & Links

Biography

Chien-Ming Huang (黃健鳴) is the John C. Malone Associate Professor in the Department of Computer Science at Johns Hopkins University, specializing in research on Human-Computer Interaction and Human-Robot Collaboration. He leads the Intuitive Computing Laboratory, dedicated to developing innovative, intuitive, and personalized technologies to provide social, physical, and behavioral support for individuals with diverse abilities and characteristics, particularly children with autism and older adults. His research spans Human-Computer Interaction, Robotics, and Artificial Intelligence, with applications in healthcare, education, and manufacturing. Professor Huang has received numerous honors, including the 2022 NSF CAREER Award, and has published extensively in leading journals and conferences.

Work Experience

  • 2017–Present·Johns Hopkins University·John C. Malone Associate Professor
    • Leading the Intuitive Computing Laboratory, researching Human-Computer Interaction and Robotics, and developing assistive technologies for special populations.
  • 2015–2017·Yale University·Postdoctoral Research Fellow
    • Conducted cutting-edge research in Human-Computer Interaction and Robotics.

Education

  • 2010–2015·University of Wisconsin-Madison·Ph.D.
    • Major: Computer Science
  • 2008–2010·Georgia Institute of Technology·M.S.
    • Major: Computer Science
  • 2002–2006·National Chiao Tung University (Taiwan)·B.S.
    • Major: Computer Science

This biography was generated by AI from publicly available information and may contain delays or inaccuracies.

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