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Game theory and the COVID-19 outbreak: Coordinating our interests at individual to national levels
  1. Game theory and the COVID-19 outbreak: Coordinating our interests at individual to national levels

    A major defense project pivots to explore how to encourage COVID-safe behavior effectively.

  2. Catching nuclear smugglers: fast algorithm could enable cost-effective detectors at borders

    The algorithm can pick out weak signals from nuclear weapons materials, hidden in ordinary radiation sources like fertilizer.

    The post Catching nuclear smugglers: fast algorithm could enable cost-effective detectors at borders appeared first on Michigan Engineering News.

  3. “Ultra low-power receivers for IoT applications” wins Outstanding Invited Paper

    Prof. David Wentzloff’s paper examining the trends and techniques to achieve ultra-low power receivers was honored by the IEEE Custom Integrated Circuits Conference

  4. Plasma jet wands could rapidly decontaminate hospital rooms

    Room-temperature plasma beams could essentially dissolve away bacteria and viruses.

    The post Plasma jet wands could rapidly decontaminate hospital rooms appeared first on Michigan Engineering News.

  5. Xueru Zhang awarded Rackham Predoctoral Fellowship

    Zhang is working to improve data security and address important ethical issues related to AI and discriminatory data sets.

  6. Zhanni Wu awarded Rackham Predoctoral Fellowship

    Wu is working on advanced metasurfaces, which could help next-generation wireless communication, commercial and military radar systems, imaging, and antenna systems.

  7. Advancing the future of circuit design with Intel’s Dr. Eric Karl

    Karl (BSE MSE PhD EE) talks about how his time at Michigan helped prepare him for his dream job at Intel and a career advancing embedded memory technology and circuits.

  8. Guidance on decontaminating face masks: U-M researchers contribute to national effort

    Collaborative website launched while U-M researchers continue advanced testing.

  9. Using machine learning to detect disease before symptoms manifest

    Prof. Alfred Hero speaks to ECE about his work using data to predict the transmission of infectious disease among people who are pre-symptomatic or asymptomatic and how it relates to COVID-19.

  10. Data security for a safer world

    ECE alum Kurt Rohloff helped create one of the world’s best homomorphic encryption software libraries, and he reflects on how his time at Michigan helped shape his career.