New COVID-19 Research

Coronaviruses are a family of RNA viruses that typically cause mild respiratory disease in humans. A novel coronavirus (COVID-19) was identified in Wuhan, China in December 2019.

In light of COVID-19, Malone professors have recognized a pressing need to develop open-source engineering solutions to address many aspects of the crisis.

Our experts are closely following new developments in the COVID-19 outbreak. This page will be routinely updated as new research opportunities emerge.

Related Projects

Automation of Drive-Thru Testing for COVID-19

Problem​ Medical personnel is at risk of infection when interacting with COVID-19 patients during testing.​ Testing requires use of large amount of PPE​...

Data Analytics and Operational Optimization during COVID-19

Resilience and Sustainability in PPE Supply Chain: Gathering data on the supply chain and use of PPE before and during...

Deep learning to identify COVID-19 in chest x-rays

Overview Chest X-rays have been proposed as a potentially useful tool for assessing COVID-19 patients, especially in overwhelmed emergency departments...

Emergency Medicine COVID-19 Modeling and Data Analytics

Overview Collaborating with diagnostic companies Cepheid and Beckman Coulter to: ​ support analyses of hematology parameters to identify viral signatures (e.g., influenza versus COVID)​ evaluate...

Face Mask Simulations

Overview Use physics based modeling and simulations of aerodynamics and fluid-structure interaction to characterize the performance of commonly used face masks....

Facilitating Machine Learning Research to Inform Coronavirus Response

Overview: Access the dataset here >> Project website here >> We aim to gather a machine readable dataset related to...

Imaging and Analytics for COVID-19 Detection, Diagnosis, and Monitoring

Clinical Motivation CT is very sensitive to detection of respiratory disease​ Requires improved specificity to discriminate COVID-19 from other pneumonia​...

Patient Hood to Reduce Exposure of Critical Care Personnel

Problem Critical care personnel are at risk of infection when interacting with COVID-19 patients. Risk is especially high during intubation...

Social Media for Public Health: COVID-19

Overview: Social Media for Public Health  >> This site serves as a platform for collecting data resources and publications in...

Surveilling the Impact of COVID-19 on Mental Health in the General Population

Overview Team of 15 faculty from Psychiatry, Computer Science, and Business Computer science faculty program Twitter scrapes to detect increased...

Teleoperated In-ICU Robotics to Reduce Exposure of Critical Care Personnel

Problem Critical care personnel often must enter contaminated area to make simple adjustments to equipment such as ventilators or infusion...

Related News

July 21, 2020

In a new course offered by computer scientist Mathias Unberath, engineering students design AI systems that integrate seamlessly into human...... Read More