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  • An image of blue and yellow cells.
    Research from Tufts University on a non-invasive optical imaging technique that detects changes in cellular metabolism is featured by the National Institute of Health's National Institute of Biomedical Imaging and Bioengineering.
  • A white woman with short grey hair sits in a dark room next to a computer.
    Bridge Professor Susan Landau spoke to Open Source about her career and evolutions in cybersecurity.
  • A headshot of a white man with grey hair and a grey mustache with a blue shirt.
    Professor Steven Chapra received the 2018 Engineering Seymour Simches Award for Distinguished Teaching and Advising.
  • A group of four men stand in a field with a tripod instrument.
    Professor David M. Gute traveled to India this spring to explore new ventures in the field.
  • A headshot of a white man in a suit.
    Professor of the Practice Ronald Lasser received the 2018 Henry and Madeline Fischer Award for Teaching Excellence in the School of Engineering.
  • A figure image of the paper-nose
    In a new paper, researchers printed chemoresponsive dyes and chemiresistive inks on paper to develop a "paper-nose" optoelectronic sensor for volatile gases in air.
  • A hand holds up a cell phone and the screen has an icon of a lock on it.
    Tufts Gordon Institute faculty say that tech companies are going to face much tougher scrutiny around data privacy and use.
  • Kristen Wendell leans against a brick wall and smiles at the camera
    Assistant Professor Kristen Bethke Wendell was named to the 2018 "20 Under 40 Young Pacesetters" list in Prism, the monthly magazine from ASEE. 
  • An aerial view of children's hands reaching for colored LEGO blocks
    The LEGO Education Symposium and Tufts STEM Education Conference, presented by the Center for Engineering Education and Outreach, take place on campus June 5 through 7.
  • An image of a skyline with many lines indicating interconnectivity across buildings.
    Sam Safavi, EG17, and associate professor Usman Khan were part of a research team that created an improved algorithm for self-localizing and tracking mobile devices, a development that could meet the demands of a projected 50 billion connected products in the Internet-of-Things by 2020.

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