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, data analytics 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). The lab was created in 2009 when Dr. Hahsler joined as director. It is the successor of SMU's Database Research Group founded by Dr. Dunham.
- IDA@SMU member Jake Drew wins the Dean's Departmental Award (CS) for his research on the application of locality sensitive hashing at the 2015 SMU Research day (Spring 2015).
- A student team IDA@SMU members including Zizhen Chen and Ren Peng reached the final of the 2014 Capital One Data Mining Cup and presented their solution for "Optimal Search Engine Adword Pricing" at the Capital One Corporate Headquarters in McLean, VA.
The IDA@SMU team (G. Ayala, M. Bolanos, J. Drew, and D. Phanekham - Adviser: Michael Hahsler) wins IBM's The Great Mind Challenge - Watson Edition, a data mining competition with 62 participating teams (April 2014).
- Matthew Bolanos graduates with Departmental Distinctions in CS for his research on data stream mining and modeling. He will join a graduate program at Carnegie Mellon University next Fall (May 2014).
- IDA@SMU members Jake Drew and Hadil Shaiba have received the Dean's Departmental Award (CS) for their research projects at the 2014 SMU Research day (Spring 2014).
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