Machine Learning and Artificial Intelligence
Faculty and students in the School of Computing are engaged in fundamental and applied research projects focusing on machine learning, data mining, big data, artificial intelligence, and robotics. Areas of research include anomaly detection, knowledge engineering, advanced pattern mining, graph mining and real-time reasoning. These efforts have been successfully applied to various domains of social importance including public health, neurological disorders, highway safety, malware detection, autonomous robotic guides, social media, and molecular biology.
Research Groups:
Faculty Members:
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Dr. David Bourrie Associate Professor |
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CS Chair,
Associate Professor |
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Dr. Jingshan Huang Professor |
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Dr. Tom Johnsten Professor, CS Curriculum Coordinator |
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Dr. Aviv Segev Professor |
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