| Kristin Tufte | photo |
| o Assistant Professor - Research, Ph.D. in from |
| o | Contact Information: | |
| Office: | FAB 115-09 | |
| Office Hours: | By Appointment | |
| Phone: | 503-725-2419 | |
| Web page: | http://www.cecs.pdx.edu/~tufte/ | |
| Email: | tufte at cs.pdx.edu |
| o | Bio: |
| Assistant Professor � Research, Department of Computer Science (effective Sept 15, 2007)
Research Associate � Civil & Environmental Engineering
Ph.D. Computer Science, University of Wisconsin-Madison, 2005
M.S. Computer Science, University of Wisconsin-Madison, 1996
B.A., Mathematics, St. Olaf College, 1988
Dr. Kristin Tufte is a Research Assistant Professor (effective Sept 15, 2007) in Computer
Science and a Research Associate in Civil & Environmental Engineering. Dr. Tufte's area
of specialization is database systems. In particular, she studies techniques for
processing data streams such as network (Internet) traffic, environmental sensor
readings, traffic sensor data, and telephone call records. Interesting challenges
presented by these types of data are the "unending" nature of data streams and
disordered, dirty, skewed, and bursty data. Dr. Tufte is interested in applying data
stream technology to Intelligent Transportation Systems (ITS) data streams such as loop
detector data and bus dispatch data in an effort to provide improved traffic measurements
to ITS professionals. Dr. Tufte is currently working on latte, a project to develop a
hybrid stream-archive data stream system. The goal of latte is to build upon stream
processing and traditional database technology to support queries that combine live
stream data and archived historical data. In addition, Dr. Tufte is involved in several
other projects. She leads an effort to verify real-time estimates of travel times on
Portland-area freeways and is working on intelligent filling of data gaps in the Spackle
project. Finally, Dr. Tufte helps manage the PORTAL transportation data archive; PORTAL
is archiving ITS data for the purpose of improved traffic assessment and modeling. In her
previous research, Dr. Tufte has been involved in the development of two large database
system: most recently, the NiagaraST Stream Query Engine and previously the Paradise GIS
Database.
For more information, please visit her web site
Project links: latte verify real-time estimates of travel times Spackle PORTAL NiagaraST Paradise |