Biomedical and Health Informatics
Modern healthcare increasingly relies on data-driven insights to improve patient outcomes, enhance clinical decision-making, and address complex public health challenges. This research advances biomedical and health informatics by integrating computational methods, biological data, and population-level analysis to support smarter, more responsive healthcare systems. By combining high-throughput data generation with artificial intelligence and interdisciplinary research, these efforts enable earlier detection, personalized treatment strategies, and improved understanding of health disparities, supporting more effective and equitable healthcare solutions.
Key capabilities include:
- Bioinformatics and public health informatics supporting large-scale healthcare data analysis
- Integration of biological and social determinants of health for comprehensive research insights
- High-throughput DNA sequencing and data-driven genomic analysis
- AI-driven computational medicine for diagnostics and clinical decision support
- Development of smart health systems, including applications in sickle cell disease and colorectal cancer detection
- Biomedical engineering research supporting cardiovascular health initiatives
- Data-informed approaches to understanding and addressing cardiovascular health disparities
Adaptive Interception in Dynamic Domains: Exploration of Hybrid Reinforcement Learning in Pursuit-Evasion Tasks
Akinmolayan, M., Josyula, D., Casbeer, D. Adaptive Interception in Dynamic Domains: Exploration of Hybrid Reinforcement Learning in Pursuit-Evasion Tasks, AAAI Spring Symposium, April 2026. Affiliation: Bowie State University (To appear).
A Unified Naming and Addressing Scheme for Hybrid DTN/NDN Communication Protocols
Langrin, R., & Blackstone, J. (2026). A Unified Naming and Addressing Scheme for Hybrid DTN/NDN Communication Protocols. Proceedings of the 2026 AAAI Symposium Series, San Francisco, CA. Affiliation: Howard University, Research Institute For Tactical Autonomy (To appear).
