Qin Lv's research focuses on full-stack data analytics, which integrates systems, algorithms, and applications for effective and efficient data analytics in ubiquitous computing and scientific discovery. Topics of interest include mobile/wearable/IoT sensing, data fusion, spatial-temporal data analysis, anomaly detection, recommendation, behavior analysis, social networks, cybersafety. Her research is interdisciplinary in nature and interacts closely with a wide range of application domains including Earth sciences, transportation electrification, renewable and sustainable energy, environmental science, and information needs in people’s daily lives.
keywords
full-stack data analytics, integration of systems, algorithms & applications for effective & efficient data analytics in ubiquitous computing & scientific discovery, mobile/wearable/IoT sensing, data fusion, spatial-temporal data analysis, anomaly detection, recommendation, behavior analysis, social networks, cybersafety
