Beiyu林スーバンクーバー
2021. Using continuous sensor data to formalize a model of in-home activity patterns. B Lin, DJ Cook, SE Maureen. Journal of Ambient Intelligence and Smart Environments, 1-19. , 2020. 8. 2020. Analyzing Sensor-Based Individual and Population Behavior Patterns via Inverse Reinforcement Learning. B Lin, DJ Cook.
Beiyu Lin is an assistant professor at the University of Nevada, Las Vegas. She constructs computational models based on ambient sensor data to identify people's routine behavior patterns and assess their behavior changes; she also develops algorithms to apply these findings to diverse areas. The impact of her multi-disciplinary research collaborations has been reported in […]
Microorganisms in the deep sea play vital roles in marine ecosystems. However, despite great advances brought by high throughput sequencing and metagenomics, only a small portion of microorganisms living in the environment can be cultivated in the laboratory and systematically studied. In this study, an impr
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