The Trustworthy Data Engineering Laboratory (TRUST Lab) has focused on solving core challenges relating to privacy, integrity, analysis, and the design of system infrastructure for data.
Data systems, and the automated reasoning and machine learning algorithms used to understand data, form the core of some of the most exciting advancements in the 21st century. With the rise of automation, the Internet of Things, and other data-driven science and technology sectors Data Science and Data Engineering have become essential to the functioning of our infrastructure, society, and economy. These systems must be engineered to be safe, reliable, dependable, performable, and secure, even though these goals are sometimes contradictory.
By providing unified methods to
validate these criteria during the
entire design and deployment process
the lab develops and applies sound
theoretical scientific and engineering
principles to enable trustworthy
next-generation systems for Data
Science and Data Engineering. The
TRUST Lab has helped engineer new
technologies and solutions with
industrial, governmental, and research
laboratory collaborators including:
The Chicago Department of Public
Health, the City of Cincinnati, the
Environmental Protection Agency,
Fortinet Inc., IBM, NASA, The World Bank Group,
and many others. Our research has
resulted in numerous papers, patents,
and productized technologies deployed
by our commercial partners.