9/16/2010
3:30pm-4:30pm
ECCR 150
|
Towards Efficient and Effective Data Management and Exploration in the Digital Era
Department of Computer Science
We are quickly moving into a digital era in which huge amounts of digital data
are continuously generated yet human's capabilities are very limited in terms
of "digesting" such massive data for information exploration and knowledge
discovery. This calls for a paradigm that goes beyond traditional storage
and retrieval of raw data blocks and aims to "make sense" of data at a large
scale. Through the integration of efficient system design and effective data
analysis techniques, our goal is to discover and exploit useful patterns from
large amounts of data with high quality and high efficiency.
This talk gives an overview of my research on massive data management and
exploration, which bridges the areas of search systems, data mining, mobile
systems, social networks, and data management. I will present the two specific
themes of my research. For data-oriented mobile social computing, I have
investigated distributed mobile data management, social data analysis and
recommendation, and social networking in rural communities. For data-oriented
scientific discovery, working with domain experts, my research centers around
data management and data analysis in environmental sensing of air pollutants,
time-series analysis of cryospheric data, and energy storage system design for
transportation electrification.
Qin (Christine) Lv is an assistant professor
in the Department of Computer Science, University of Colorado Boulder.
She received a BE with honors from the Department of Computer Science and
Technology, Tsinghua University in 2000, and a PhD from the Department of
Computer Science, Princeton University in 2006. Before joining the University
of Colorado, she also spent one year in Princeton University as a postdoc,
and one year in the Computer Science Department, Stony Brook University
as an assistant professor.
Lv's primary research interest is massive data management and exploration.
Her research integrates efficient systems design with effective data analysis
techniques. Her research focuses on search systems, data mining, mobile systems,
social networks, and data management. Lv's research is interdisciplinary in
nature and interacts closely with a variety of research domains including
environmental research, geophysics, renewable and sustainable energy, as well
as the information needs in people's daily lives.
Hosted by Richard Han.
|
