I am a member of the database group at UW and the co-founder of the Northwest Database Society (NWDS).
Magdalena Balazinska is an assistant Professor in the department of Computer Science and Engineering at the University of Washington. Magdalena's research interests are broadly in the fields of databases and distributed systems. Her current research focuses on distributed stream processing, sensor and scientific data management, and cloud computing. Magdalena holds a PhD from the Massachusetts Institute of Technology (2006). She is a Microsoft Research New Faculty Fellow (2007), received an NSF CAREER Award (NSF IIS-0845397), a Rogel Faculty Support Award (2006), and a Microsoft Research Graduate Fellowship (2003-2005).
My interests are broadly in the fields of databases and distributed systems. My current work focuses on stream processing, RFID data management (graphical event specification, probabilistic event extraction, event management, applications), and scientific data management in cloud computing environments.
To see a list of publications, please see Publications.
In this project, we are developing new data management systems and techniques for handling large volumes of data using cloud-computing environments, with a special emphasis on scientific applications.
As part of Nuage, we are also collaborating on the SciDB project, which aims at building an array-based, parallel database management system for scientific research.
Monitoring applications enable users to continuously observe the current state of a system (e.g., car traffic conditions, a computer network, a cluster of servers). Although the current state of the system is the focus of monitoring applications, when events of interest occur, historical information is usually necessary to explain these events and determine appropriate responses. In this project, we are exploring techniques for complementing real-time monitoring information with different types of historical data.
We are deploying and experimenting with a building-wide RFID-based tracking infrastructure. The goal of this project is to overcome the intrinsic limitations of the technology to provide useful applications while respecting users' privacy.
As scientists (and others) store, analyze, and share increasingly large volumes of data in data centers, they need tools to help them author, annotate, share, and reuse their data analysis queries. The goal of this project is to enable such support, which is lacking in commercial database management systems.
We are developping algorithms and a system for efficiently managing and querying correlated, uncertain, ordered data. We call such streams Markovian streams. Markovian streams naturally arise in many sensor-based applications.
If you are looking for our regular database group meetings and talks, they are under CSE 591D.
550 Paul G. Allen Center
206-616-1069.
206-543-2969
magda at cs dot washington dot edu
Magdalena Balazinska, Assistant Professor
University of Washington
Department of Computer Science and Engineering
Box 352350
Seattle, WA 98195-2350
550 Paul G. Allen Center for CSE,
185 Stevens Way,
Seattle, WA 98195-2350