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  1. “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

  2. Making wind power more predictable: A Q&A with Eunshin Byon

    Predictive modeling could help power companies get more consistent output from renewables.

    The post Making wind power more predictable: A Q&A with Eunshin Byon appeared first on Michigan Engineering News.

  3. How much coronavirus testing is enough? States could learn from retailers as they ramp up

    To control the coronavirus spread, the U.S. needs to get the most value out of the limited testing capacity it has.

    The post How much coronavirus testing is enough? States could learn from retailers as they ramp up appeared first on Michigan Engineering News.

  4. Lab-on-a-chip COVID-19 antibody test could offer rapid, accurate results

    ‘Anyone working on COVID-19 antibody tests can use their reagents in our device’

    The post Lab-on-a-chip COVID-19 antibody test could offer rapid, accurate results appeared first on Michigan Engineering News.

  5. 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.

  6. Research team takes on food insecurity in Detroit in the face of coronavirus limitations

    Researchers are working with the city on two key initiatives to address food availability for elderly and low-income populations.

  7. Building better coronavirus databases with automatic quality checks

    The team will build high-quality datasets to enable automatic quality checking and fraud detection of the new coronavirus data.

  8. 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.

  9. Computer scientists employ AI to help address COVID-19 challenges

    Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.

  10. Emily Mower Provost named Toyota Faculty Scholar

    Her work uses machine learning to measure mood, emotion, and other aspects of human behavior for purposes of providing early or real-time interventions for people in managing their health.