Yale engineers earn recognition for advancing AI, photonics, and biomedical innovation
Five faculty members at Yale’s engineering school have been honored with NSF CAREER Awards for research in AI reliability, light-sensing technology, secure data processing, and tissue engineering.
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Five researchers at Yale’s School of Engineering & Applied Science have received NSF CAREER Awards to support their work in fields ranging from artificial intelligence to biomedical engineering. One project aims to improve how AI models are evaluated and interpreted in scientific contexts, ensuring their reliability for research applications. Another focuses on developing compact light-sensing chips capable of detecting both color and polarization, with potential uses in secure communications and biological imaging. A third initiative explores methods to securely process sensitive data in cloud environments, while a fourth applies principles of liquid crystal physics to guide the self-organization of lab-grown tissues into structured forms like blood vessels. Meanwhile, a fifth project reimagines the mathematical foundations of AI by modeling data in curved spaces, which could enhance efficiency in applications like medicine and social networks. These awards reflect the breadth of Yale’s contributions to advancing technology and scientific understanding, with collaborations extending to institutions like the Yale School of Medicine and industry partners such as Google and Amazon Web Services.
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