CAREER award

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Deepak Koirala to grow understanding of how enteroviruses replicate with $786K NSF CAREER Award

/ 6 minutes of reading

Diseases such as polio, the common cold, and meningitis are all caused by closely related enteroviruses and the way that these viruses multiply in the body is poorly understood. Deepak Koirala hopes to change that by investigating how the RNA structures within these viruses’ genetic material enable them to multiply. The answers could lead to drugs that attack specific mechanisms critical for viral replication, stopping these diseases in their tracks. Continue Reading Deepak Koirala to grow understanding of how enteroviruses replicate with $786K NSF CAREER Award

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Mercedes Burns to study arachnid evolution in Japan through prestigious NSF CAREER Award

/ 6 minutes of reading

“The questions I’m asking in this CAREER grant set the stage,” she says, for discovering how arachnid species that can reproduce both sexually (with a mate) and asexually (without a mate) “control whether it’s going to be one reproductive mode or the other,” Mercedes Burns says. “Ultimately we want to understand what allows for this kind of reproductive strategy in these systems, which we don’t see commonly in animals.” Continue Reading Mercedes Burns to study arachnid evolution in Japan through prestigious NSF CAREER Award

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Unlocking the secrets of materials that turn heat into electricity: UMBC’s Deepa Madan wins NSF CAREER Award

/ 4 minutes of reading

Deepa Madan, an assistant professor of mechanical engineering at UMBC, has received a prestigious National Science Foundation (NSF) CAREER award for research on materials that could improve wearable medical devices, reduce energy waste, and power sensors to monitor everything from the safety of infrastructure to the paths pollutants travel. Continue Reading Unlocking the secrets of materials that turn heat into electricity: UMBC’s Deepa Madan wins NSF CAREER Award

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Tackling food insecurity in disasters: UMBC’s Lauren Clay develops a new model through $520K NSF CAREER award

/ 7 minutes of reading

“Dr. Clay’s research demonstrates the importance of bringing a social science lens to the understanding of disaster science, management, and resilience,” says Christine Mallinson, director of UMBC’s Center for Social Science Scholarship. Continue Reading Tackling food insecurity in disasters: UMBC’s Lauren Clay develops a new model through $520K NSF CAREER award

UMBC’s Cynthia Matuszek receives NSF CAREER Award to study how robots understand spoken language

/ 3 minutes of reading

Robots are becoming increasingly capable of complex tasks and are moving into roles that previously could only be done by people, in sectors like healthcare, education, and elder care. UMBC’s Cynthia Matuszek has received a National Science Foundation CAREER Award to study how robots learn about the physical world from spoken language to improve how they work with people. Continue Reading UMBC’s Cynthia Matuszek receives NSF CAREER Award to study how robots understand spoken language

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UMBC’s James Foulds receives NSF CAREER Award to improve the fairness, robustness of AI

/ 4 minutes of reading

Implementing an AI algorithm is often presented as a trade-off, Foulds explains. Do you want the program to be as productive as possible or as fair as possible? Foulds sees this as a false and harmful dichotomy. His research shows that developing an AI algorithm that prioritizes fairness can in fact yield more robust results. Continue Reading UMBC’s James Foulds receives NSF CAREER Award to improve the fairness, robustness of AI

UMBC’s Jianwu Wang receives NSF CAREER Award to help climate scientists make discoveries from massive, complex data sets

/ 3 minutes of reading

Jianwu Wang is the most recent UMBC faculty member to receive a prestigious CAREER Award from the National Science Foundation. It will support his work to develop more efficient and reproducible causality analytics for use in climate science. Continue Reading UMBC’s Jianwu Wang receives NSF CAREER Award to help climate scientists make discoveries from massive, complex data sets

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