Anyone living in Minnesota over the past decades is familiar with Dutch elm disease and the emerald ash borer, two pathogens that have caused a huge impact on local trees. MSI PI Robert Blanchette (professor, Plant Pathology) and members of his lab are using biosurveillance methods to detect and manage new pathogens before they can spread through the plant population.
In recently published research, three MSI PIs and their colleagues have synthesized a topological semimetal that, while using less energy than current materials, is able to generate more computing power and memory storage. Tony Low (associate professor, Electrical and Computer Engineering), K.
Research Computing has opened the application period for the 2024 DSI-MnDRIVE Graduate Assistantship program. This program supports U of M PhD candidates pursuing research at the intersection of data science and any of the five MnDRIVE areas: Robotics; Global Food; Environment; Brain Conditions; and Cancer Clinical Trials.  “Data science” in this case is defined broadly as the collection of approaches and disciplines encompassing the entire data pipeline. Proposals must align with one of the Data Science tracks:
A team led by researchers at the U of M has developed a material that can absorb nearly 100 percent of light. The team includes MSI PIs from the Department of Electrical and Computer Engineering, Professor Steven Koester and Associate Professor Tony Low and their colleagues. The research, which was published in the journal Nature Communications, may have applications in optical communications as well as military applications such as stealth technology.