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Showing News articles tagged with Engineering the human-technology interface

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  • 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.
  • Vibrant green rods bent in an arc
    A group of Tufts researchers created materials that move in response to light, leading to possible applications for solar-powered products. 
  • A professor and a student with a large box with a QR code design.

    As a Summer Scholar, Computer Science student Faizan Muhammad, E20, is working with Assistant Professor Jivko Sinapov on a research investigation into robotics and augmented reality.

  • A man in a grey sweater stands in a lab with his arms crossed, smiling.
    Assistant Professor Xiaocheng Jiang and a group of Tufts researchers examined new developments in support extracellular electron transfer (EET) processes, which could have applications in renewable energy conversion and bioelectronics.
  • 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.
  • A smartphone with a cracked screen
    Susan Landau, Bridge Professor in cyber security and policy at the School of Engineering and the Fletcher School, explains how maintaining digital privacy can help secure your online presence. 
  • 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. 
  • An overhead shot of two girls working at a table making models.
    Ayman Halaseh, EG15, and his wife Shirin Haddadin are bringing STEM education to children at the Zaatari refugee camp in Jordan.
  • 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.

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