Capabilities

Human-Centered Computing and Biometrics

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Human-Centered Computing and Biometrics

As intelligent systems become more integrated into everyday life, ensuring they are intuitive, inclusive, and responsive to human needs is essential. This research advances human-centered computing and biometrics by designing technologies that better understand, interpret, and adapt to human behavior and interaction. By combining artificial intelligence with insights from human-computer interaction, affective computing, and biometric analysis, these efforts support more accessible, trustworthy, and user-focused systems. Applications range from immersive environments and usable security to education technologies and emotion-aware interfaces.

Key capabilities include:

    • Immersive AI applications leveraging virtual reality and interactive environments
    • Facial recognition and biometric systems for identity and behavioral analysis
    • Affective computing research, including emotion recognition through physiological signals
    • Human-computer interaction (HCI) design focused on usability and user experience
    • Usable security research integrating human behavior into secure system design
    • Interactive narrative systems for dynamic, user-driven experiences
    • Human-centered AI research emphasizing inclusivity, voice equity, and accessibility
    • Development of AI systems for automated assessment of student writing

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).

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