About the Intelligent Data Analysis Lab at SMU
At IDA@SMU we create novel techniques inspired by knowledge discovery, data mining, machine learning, artificial intelligence and statistical analysis to work with data from various sources. We currently focus on efficient classification methods for large volume genomic and metagenomic data, on modeling the temporal/order structure of real-time data streams (e.g., for intrusion detection and hurricane intensity prediction), on recommendation strategies based on observed user behavior and on visualizing large scale data. > read about our current projects
The IDA@SMU is part of the the Bobby B. Lyle School of Engineering, Southern Methodist University (SMU).
- Anurag Nagar, Jake Drew and Matt Bolanos (all IDA members) have received awards at the Annual SMU Graduate Research day for their work on genetic sequence alignment, classification and data stream clustering (Spring 2013)
- Our research on hurricane intensity prediction was featured in the article “Discovery: New Forecasting Algorithm Helps Predict Hurricane Intensity and Wind Speed” (Dec. 5, 2011) by the National Science Foundation and in “Weatherwatch: Can the intensity of a hurricane be predicted?” (Oct. 12, 2011) by The Guardian.
- IDA@SMU receives NIH grant no. R21HG005912 to investigate Position Sensitive P-Mer Frequency Clustering (9/11).
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Acknowledgement of Support