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  • Two people in a lab
    Associate Professor Tom Vandervelde has received a grant from the National Science Foundation to investigate new methods for electricity inefficiencies.
  • A figure drawing of electronic drug delivery
    Tufts researchers led a team in developing an electronic wound dressing an electronic wound dressing that enables active topical drug delivery, with applications for chronic wound care.
  • An arm with a small computer chip and a bandage attached to it.
    Research from the Department of Electrical and Computer Engineering on a new "smart bandage" was recently featured on the NIH Director's Blog.
  • A woman stands against a railing with a security area behind her
    Professor Karen Panetta explains the possibilities and challenges of developing new technologies to assist with diagnosing and treating medical conditions.
  • A white man with curly blonde hair sits facing the camera with students working on computers behind him
    Associate Professor Mark Hempstead investigates the history of microprocessor hardware and the future of secure microchips in a piece for The Conversation.
  • An arm with a small computer chip and a bandage attached to it.
    A team of researchers led by Tufts faculty and alumni have created a prototype of a "smart" bandage that can monitor the conditions of a wound and deliver drug treatment. 
  • A college student in shorts and a T-Shirt pretends to pinch the top of the Louvre glass triangle.
    While studying abroad in Talloires, France, BEST scholar and electrical engineering major Alejandro Colina-Valeri put his French to the test while communicating with his host family.
  • A man reaches and points at a chalkboard with writing on it.
    Professor Sameer Sonkusale (pictured), Robert D'Angelo, EG17, and a team of researchers published findings on a more efficient and novel algorithm for computer vision processes involving large amounts of data. 
  • Headshots of the five members of the Picture This! team
    A team of Tufts researchers is developing an artificial intelligence incorporated with computer vision techniques to report nutrient intake.
  • A man with short brown hair smiles at the camera, holding a large drone slightly out of focus
    Associate Professor Usman Khan (pictured) and Sam Safavi, EG17, are part of a research team investigating effective ways to create location awareness for 5G IoT devices.

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