The Artificial Intelligence Research Laboratory is part of the Center for Computational Intelligence, Learning, and Discovery at Iowa State University. The laboratory is directed by Dr. Vasant Honavar. The laboratory works on several related research and training projects in artificial intelligence, bioinformatics and computational systems biology, data mining, machine learning, semantic web, and related areas.
Research Projects
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Algorithms and Software for Learning Predictive Models from Semantically Heterogeneous, Distributed, Autonomous Data Sources. Research foci include ontology-based information integration, characterization of effects of errors in mappings between ontologies, scalable learning algorithms for building classifiers from large distributed datasets, learning from partially specified data, multi-relational learning, learning from alterately structured data (e.g., text, images, sequences, graphs).
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Data-driven discovery of macromolecular sequence-structure-function relationships. Research foci include development of databases and machine learning algorithms for predicting protein function, subcellular localization, and protein-protein, protein-dna, protein-rna binding sites, structural features, disordered regions, and phosphorylation sites from sequence, structure, and other sources of information.
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Analysis, discovery, modeling, and refinement of genetic signaling networks, interaction networks, and pathways. Research foci include pathways involved in retinal cell fate determination during development, differentiation, degeneration and disease.
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Data Mining Algorithms and Applications. Research foci include development of data mining algorithms and their applications in bioinformatics, engineering informatics, security informatics, materials informatics, and related areas.
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Security Informatics. Research Foci include applications of formal methods and machine learning approaches.
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Language Models, Language Learning, and Applications. Research foci include statistical and automata-theoretic and grammatical approaches to modeling and learning of languages.
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Service-oriented computing and web services. Research foci include approaches to service discovery, and goal-driven service composition and refinement for e-science and related applications.
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Algorithms and Software for Collaborative Development and Use of Modular Ontologies. Research foci include ontology language features to support modularity and reuse of ontologies, distributed inference, collaborative ontology development tools.
- Neural and Cognitive Modeling. Research foci include neural architectures for perception, memory, knowledge representationi, reasoning, and learning.
Training Projects
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Graduate Training in Computational Molecular and Systems Biology.
Research-based training foci of the Artificial Intelligence Research Laboratory" in this multidisciplinary project include data integration, knowledge representation, ontologies, and statistically based data mining algorithms and software for genome informatics, and analysis and modeling of macromolecular dynamics and interactions, and metabolic and regulatory networks.
- Bioinformatics Summer Institute and Research Experiences for Undergraduates. The focus of the Artificial Intelligence Research Laboratory" in this multidisciplinary project is on statistically based machine learning algorithms for bioinformatics and computational systems biology.
Information about some past research and training projects can be found here.
The laboratory's research is funded in part by grants from the National Science Foundation, the National Institutes of Health, the US Department of Agriculture, and Iowa State University.