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Intelligent Data Engineering & Analytics

IDEA Lab @ University of North Texas

AI Insights for Real-World Impact

We are exploring efficient methods for the analysis of large, distributed, heterogeneous multimedia data to build reliable intelligent systems.  Our research spans deep learning, NLP, information retrieval, and model testing for complex data-centric AI systems.

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We are excited about developing computational models and building real-world applications for important domains such as education, healthcare, legal intelligence, cyber security, scientific communication, etc.

Our Mission

Shaping Tomorrow with Data-driven Intelligence

At IDEA Lab, we are advancing the frontier of AI by developing methods for analyzing, managing, and leveraging large, complex datasets.

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​Developing robust solutions fueling innovation across healthcare, legal, cybersecurity, communication, education, and tomorrow's scientific discoveries.

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News

3/15/2025 

Dr. Haihua Chen is serving as the PC Co-chair and Yuhan Zhou is serving as the Website Chair of IEEE AITest 2025, which is calling for papers, workshop proposals, panels, and tutorials. The submission deadline is April 1st, 2025. For more details, please visit the conference website

Contact

Department of Information Science

​​3940 N. Elm St.

Denton, TX 76207​

© 2024 University of North Texas

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