2nd NAE Covid-19 Call for Engineering Action: Concept Pitch Event

2nd NAE Covid-19 Call for Engineering Action: Concept Pitch Event

  • Alice Liu
    Innovation-Node Los Angeles

    Alice Liu leads innovation activities at USC Viterbi School of Engineering including competitions, awards (Maseeh Entrepreneurship Prize Competition and the Min Family Engineering Social Entrepreneurship Challenge) and incubators. USC Viterbi is proud to be home to the Southern California node of the NSF I-Corps program to which Alice has ...

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We invite you to join us, on Thursday, August 6 from 1:00-2:30 EDT, as the second set of teams from the National Academy of Engineering (NAE) Call to Action against COVID-19 pitch their concepts to an Expert Review Committee of NAE members.

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Alice Liu
Innovation-Node Los Angeles

The NAE’s virtual incubator is facilitating development of hundreds of ideas for ways engineering can help address various aspects of the current pandemic, catalyzing collaboration amongst a multi-generational range of engineers – from students in the NAE Grand Challenges Scholars Program to cutting edge researchers in the Frontiers of Engineering program to eminent members of the NAE itself – as well as other disciplines.

The five presentations below will each be followed by Q&A with the panel.

Remote Wearable Monitoring System for COVID-19 Patients (Team Lead: Lili Deligianni, IBM): A remote wearable monitoring system that measures stress and inflammatory responses providing insights about the response of the immune system. Healthcare providers will be able to track disease progression and understand the point when the immune response becomes overactive.

Combating Misinformation on COVID-19 (Team Lead: Yan Liu, University of Southern California): An information dashboard designed to combat misinformation by identifying and monitoring unreliable, misleading, and malicious information around COVID-19 on social media platforms. The dashboard provides visibility into social media discussions surrounding COVID-19.

Early COVID-19 Detection and Neurovascular Recovery in Pre-Symptomatic and Asymptomatic Individuals (Team Lead: Amina Qutub, University of Texas, San Antonio): An integrated AI-based system linking sensors and imaging scans to detect COVID-19 non-invasively in pre-symptomatic and asymptomatic individuals and to track neurovascular recovery following infection.

Wearable Patch for Remote Monitoring of COVID-19 Patients (Team Lead: Emily Cho, University of Maryland): A wearable patch that allows for remote patient monitoring using real-time data transmission of health vitals. This team was a finalist in the 2019 Global Grand Challenges Summit business competition and includes student members from the U.S., U.K., and China.

Self-disinfecting Mask (Team Lead: Xing Xie, Georgia Institute of Technology): Wearing an effective mask for COVID-19 patients and their health-care persons are necessary to prevent the transmission. Most of available masks are designed for short-term uses, and it is difficult for the users to know when the masks need to be replaced. This team aims to develop a low-cost mask that can not only collect potential airborne pathogens but also inactivate them.