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Qin  Lv

Assistant Professor

Contact Information

qin.lv@colorado.edu
303-492-8821
ECCR 1B05C
1045 Regent Drive 430 UCB
Boulder CO, 80309‐0430 USA

Office Hours

Mondays 2:00 -- 4:00pm or by appointment 

Website

http://www.cs.colorado.edu/~lv/

Research Interests

Qin Lv's research integrates efficient system design with effective data analysis for the management and exploration of massive data. Her research topics include search systems, data mining, mobile systems, social networks, and data management. Her research is interdisciplinary in nature and interacts closely with geoscience, renewable and sustainable energy, environmental science, as well as the information needs in people's daily lives. 

Education

BE, Tsinghua University; MA, PhD, Princeton University

Biography

Qin Lv is an assistant professor in the Department of Computer Science, University of Colorado Boulder. She earned her Ph.D. in computer science from Princeton University. Before joining CU, she held a one-year postdoctoral position at Princeton University and a one-year assistant professor position at Stony Brook University. Qin Lv's research integrates efficient system design with effective data analysis for the management and exploration of massive data. Her research topics include search systems, data mining, mobile systems, social networks, and data management. Her research is interdisciplinary in nature and interacts closely with geoscience, renewable and sustainable energy, environmental science, as well as the information needs in people's daily lives. Lv has published over 30 papers on peer-to-peer networks, large-scale similarity search, mobile air quality sensing, PHEV driving study, cryospheric data analysis, as well as event modeling and recommendation in online social communities. Her work on large-scale battery system modeling was nominated for the Best Paper Award at ISLEPED 2010, and her work on personalized driving behavior analysis has won the second prize of Computational Sustainability Awards presented jointly by Pervasive 2012 and the Computing Community Consortium (CCC). Lv's work has  been cited over 2,000 times.