Research Wire

Biologist Matthew Austin in Arts & Sciences published a study in the American Journal of Botany that describes changes to the flowering time and other important life cycle events in Leavenworthia species, a group of small flowering plants found in glades in Missouri.

In a study published in Medical Physics, researchers in the lab of Abhinav Jha at the McKelvey School of Engineering evaluated artificial intelligence techniques for cleaning up medical images based on performance in clinical tasks.

John A. Cooper, MD, PhD, a professor in biochemistry and molecular biophysics at the School of Medicine, received a one-year $613,251 grant from National Institute of Mental Health, part of the National Institutes of Health (NIH).

With funding from the National Science Foundation, William Yeoh at the McKelvey School of Engineering will use artificial intelligence to develop a fair, equitable and efficient scheduling system for courts.

Researchers in Randall Martin’s lab at the McKelvey School of Engineering won a $500,000 grant from the National Science Foundation to study, and improve, the accuracy and resolution of models used to understand chemicals’ behavior in the atmosphere.

Physicist Sheng Ran in Arts & Sciences has won a prestigious National Science Foundation award for a project investigating new quantum materials. The research has potential applications for next-generation electronics.

Young-Shin Jun, at the McKelvey School of Engineering, co-authored a review paper in Chemical Reviews that celebrates scientific advances in the field of interfacial reactions, which happen at the boundary where materials in different phases meet.

With a new grant from the National Science Foundation, Christopher Gill at the McKelvey School of Engineering plans to advance cyberphysical systems’ performance for applications in earthquake safety.

Researchers at the McKelvey School of Engineering are developing better ways to predict preterm birth by analyzing electrical activity during pregnancy. Arye Nehorai’s lab uses electrical activity and deep learning to make predictions.

Yiannis Kantaros, an assistant professor at the McKelvey School of Engineering, received a $413,694 grant to advance the safety, efficiency and transferability of artificial intelligence-enabled autonomous robots.