Center for Computational Intelligence
A premier research center dedicated to developing advanced computational models for performing complex tasks.
Research Themes
The center focuses on the following areas of research. Teams of research experts have been compiled to collaborate with numerous avenues to assist industries in these areas. They are linked within each section.
Focus
- Personalized learning: Developing AI tools for personalized learning, tutoring, and advising while considering ethical issues, potential biases, and privacy concerns.
- Educational Data Analytics: Leveraging large educational datasets to predict and identify patterns that can inform decision-making to improve student and institution outcomes.
Focus
- Public Health Predictive Modeling: Develop statistical models, and machine learning algorithms to predict disease outbreaks and public health trends and patterns.
- Health(care) Data Integration: Analyzing diverse health data sources, including electronic health records, clinical trial events, wearable devices, and health surveys and available public data. (community-level vulnerability index, etc.)
- Human Performance Optimization: Use AI and machine learning to analyze warfighter/human performance/athlete data, injury prediction, recovery, training, and performance optimization.
Focus
- Intrusion Detection Systems: develop AI tools for intrusion detection.
- Workforce Pathway and Training
Focus
- Monitoring Systems: Developing machine learning and AI tools for the monitoring of electrical systems, mechanical systems, health structures such as bridges and buildings, environmental sensors, pollution, and climate.
- Smart Grid and Energy Management: This area uses machine learning and AI to provide systems that can predict outages, load, demand, and energy consumption.
Focus
- Systems Biology: This area covers mathematical models and simulations to study complex biological systems such as neuron connections. It also covers the statistical analysis of biological data to predict properties and discover associations.
- Bioinformatics Software and Tools: Developing computational tools, algorithms, and databases for various aspects of biological data analysis.
- ChemInformatics: Applying informatics methods to solve chemical problems.
Biology and Chemistry Research Experts