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

Improving automated drive-thru COVID-19 testing without exposing medical personnel​.

Contagion Airborne Transmission inequality

A mathematical model to estimate the risk of airborne transmission of COVID-19, inspired by the Drake equation

Deep Learning to Identify COVID-19 in Chest X-rays

A deep learning model to identify signs of COVID-19 in chest X-rays.

Emergency Medicine COVID-19 Modeling and Data Analytics

Data-driven tools and modeling to support Emergency Department (ED) physician disposition decision-making for PUI/COVID patients. 

Face Mask Simulations

Using 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

A machine readable dataset related to socioeconomic factors that may affect the spread and/or consequences of epidemiological outbreaks, particularly the novel coronavirus (COVID-19).

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

Improved detection of COVID-19​ from computerized tomography (CT) scans and chest radiography.

Operational Optimization during COVID-19

Utilizing optimization and data analytics to find the best resources allocation (clinical staff, ventilators, PPE, etc.) among different hospitals.

Patient Hood to Reduce Exposure of Critical Care Personnel

A low-cost patient hood that provides access to COVID-19 patients while reducing the risk of infection for critical care personnel.

Predicting Covid-19 Severity with Clustering Techniques

Detecting clusters of people with similar comorbidities and demographic characteristics that may have similar symptoms of Covid-19, and predicting COVID-19 severity in each cluster.

Social Media for Public Health: COVID-19

How can we use social media data to prevent the spread of COVID-19? Possible applications include the combating of misinformation, supporting messaging from public health organizations, and tracking information about the ongoing COVID-19 pandemic.

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

A multidisciplinary project (psychiatry, computer science, and business) to capture data on mental health and economic impacts of the pandemic.

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

A new robotic system to help hospitals preserve protective gear, limit staff exposure to COVID-19, and provide more time for clinical work.

Related News

September 3, 2020

The Federal Ministry of Education and Research (BMBF) award will support Helmholtz Zentrum München, Malone Center researchers as they investigate the mechanisms and complications of COVID-19 diseases.  ...... Read More