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estimation, calibration, and out-of-distribution detection. The PhD candidate will work on novel algorithms, theoretical insights, and large-scale empirical evaluations, with a strong emphasis on
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algorithms. Investigate the use of LLMs as agents or interfaces for querying building data and optimizing control parameters. Validate methodologies using real-world data from built environment monitoring and
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to design adaptive, efficient, and intelligent algorithms for hearing assistive devices. Key objectives include improving speech perception in noisy and unpredictable environments, reducing listening effort
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models to design adaptive, efficient, and intelligent algorithms for hearing assistive devices. Key objectives include improving speech perception in noisy and unpredictable environments, reducing