Engineering
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Smart microgrids can restore power more efficiently and reliably in an outage
A new AI model that optimizes the use of renewables and other energy sources outperforms traditional power restoration techniques for islanded microgrids, a new paper from Assistant Professor of Electrical and Computer Engineering Yu Zhang shows.
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2023 list of most highly cited researchers includes 18 UC Santa Cruz scientists and engineers
In a notable recognition of scholarly achievement, 18 scientists and engineers from UC Santa Cruz have earned a spot on the 2023 Highly Cited Researchers list, recently unveiled by Clarivate.
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Life Beyond the Redwoods: Teresa Faasolo reflects on her educational journey one year after graduating from UCSC
A year after graduating with a B.S. in computer engineering from UCSC, Teresal Faasolo (Merrill ’22) is a software quality assurance engineer at Digital Dynamics, Inc., based in Scotts Valley.
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Brain-inspired AI code library passes major milestone, new paper offers perspective on future of field
UCSC Assistant Professor of Electrical and Computer Engineering Jason Eshraghian’s open source code library for brain-inspired deep learning, called “snnTorch,” has surpassed 100,000 downloads and is used in a wide variety of projects. A new paper details the code and offers a perspective on the future of the field.
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Slug Gaming looks to level up presence on campus
Slug Gaming, a student group for casual and competitive esports players, want to increase campus support for their players and foster a strong sense of community for gamers at UCSC.
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Bacteria can enhance host insect’s fertility with implications for disease control
New research led at UC Santa Cruz reveals how the bacteria strain Wolbachia pipientis enhances the fertility of the insects it infects, an insight that could help scientists increase the populations of mosquitoes that do not carry human disease.
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Working to improve clarity for patients assessing their genetic breast cancer risk
A project to expedite the analysis of variants on the BRCA 1 and 2 genes, the most commonly affected genes in breast cancer cases, will help more people to better understand their cancer risk.




