Research Projects
dir UOIT
Keyword Search for Databases
Keyword search has been a tremedous success in the Web community.
We are interested at building a search engine that supports
Google-like keyword search queries for legacy relational databases.
The challenge of performing keyword search over relational data is
that the search results need to be assembled from multiple tables
and tuples. Thus, one must overcome the exponentially large search space.
We have developed some interesting algorithms that work well
for a family of data warehousing scenarios. Help is still needed
to come up with more robust search algorithms.
Frisk was showcased at ICDE'09, Shanghai, China
RFID Spatial Positioning
Radio frequency identification (RFID) is a promising
technology for pervasively storing data into everyday articles
such as clothing, bag, or even inside the human body.
We are experimenting with utilizing the signal strength variation of RFID
receivers to statistically infer the maximal likely position of RFID
tags. This will enable an array of RFID receivers to
collaboratively track the spatial position of moving tags.
I am looking for a self-motivated student to
apply statistical inference to the sensor data to obtain
spatial information of moving tags..
A youtube video here
.
Sensor Networks
We are studying the information management and data analysis aspects
of sensor networks. Our research lab is equipped with a wide variety
of wireless sensor technology, ranging from wireless environmental
sensors, power sensors, radio frequency identification (RFID) readers,
and remote controlled actuators.
Students have been developing software tools ranging from:
- Low-level hardware programming for data collection
- Network level transport and multicasting of data streams
- Graphical visualization of sensor data
Interested at Graduate School?
for possible positions
and details.
News:
- Keyword search and natural language processing
- Power sensing, server allocation and green computing
- Spatial positioning of moving tags