Tsinghua-Johns Hopkins Joint Center for Biomedical Engineering Research: Scientific and cultural exchange in undergraduate engineering

Andrew D. Wisneski, Lixia Huang, Bo Hong, Xiaoqin Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A model for an international undergraduate biomedical engineering research exchange program is outlined. In 2008, the Johns Hopkins University in collaboration with Tsinghua University in Beijing, China established the Tsinghua-Johns Hopkins Joint Center for Biomedical Engineering Research. Undergraduate biomedical engineering students from both universities are offered the opportunity to participate in research at the overseas institution. Programs such as these will not only provide research experiences for undergraduates but valuable cultural exchange and enrichment as well. Currently, strict course scheduling and rigorous curricula in most biomedical engineering programs may present obstacles for students to partake in study abroad opportunities. Universities are encouraged to harbor abroad opportunities for undergraduate engineering students, for which this particular program can serve as a model.

Original languageEnglish (US)
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages3620-3623
Number of pages4
DOIs
StatePublished - Dec 26 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period8/30/119/3/11

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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