�鶹ӰԺ

Sidney D’Mello, Associate Professor at the Institute of Cognitive Science and the Department of Computer Science at CU �鶹ӰԺ, describes how his unique combination of education and research experiences led to his leading-edge work at the NSF National Institute for Student-Agent Teaming, which is reimagining the role of artificial intelligence in the classroom to better serve both students and teachers.

Researchers from the Department of Chemical and Biological Engineering and the Materials Science and Engineering Program are among the authors of “Polymer inhibitors enable >900 cm2 dynamic windows based on reversible metal electrodeposition with high solar modulation” which appeared in the April issue of the highly prestigious science journal Nature Energy.

Results come from a new mathematical study led by researchers at two University of Colorado campuses, who explore what it might take for the state to safely shed mask mandates, limits on indoor dining and a range of other restrictions.

Misha Sinner, a PhD candidate in the Department of Electrical, Computer and Energy Engineering, presented a paper at the International Federation of Automatic Control World Congress in July 2020 on wind turbine control.

Researchers at CU �鶹ӰԺ are using LEGO bricks to study and simply illustrate the general dynamics and topology of metastructures and metamaterials.

Researchers in the Paul M. Rady Department of Mechanical Engineering are developing a robot that may one day change how millions of people across the U.S. get colonoscopies, making these common procedures easier for patients and more efficient for doctors.

Researchers at CU �鶹ӰԺ have created a platform that that can develop effective and highly specific peptide nucleic acid therapies for use against any bacteria within just one week. The work could change the way we respond to pandemics and how we approach increasing cases of antibiotic resistance globally.

The Washington Post looks at how an air monitoring system designed by CU �鶹ӰԺ's Mark Hernandez is helping a California restaurant keep its patrons safer during COVID.

Assistant Professor Longji Cui is the first author on a new paper that describes a phenomenon which drastically boosts light emissions from a nanoscale device.

Jorge Poveda has been working for years to improve the ways autonomous systems overcome problems they encounter on the job. It’s complex work that could impact our everyday life, like our daily commute in autonomous cars, to more imaginative goals like swarms of robots working in unison. By combining concepts from artificial intelligence and machine learning with well-known control theories, he may have found a new approach that could prove key to moving forward on many fronts.