My work focuses on the application of systems theory and engineering to develop innovations in human-centered systems systems
- Inclusive Education: machine learning and control theory tools, along with networked dynamical systems models applied in projects seeking to improve outcomes in language and social-emotional development.
- Mental Health: using models from systems biology, psychology, and neuroscience, I characterize mental health disorders as dynamical systems. This allows for mathematical analysis and synthesis of feedback-control-based interventions to assist in the treatment of mood disorders (bipolar and major depression), ADHD, and stress. The availability of wearable biosensors and non-invasive actuation via VR/AR, BCI, and neurostimulation provides clear opportunities for implementation in individual and networked settings.
- Sustainable Development: via feedback control, design of individual and community-level tools for smart and connected management, operation, and monitoring of productive and basic needs projects in developing countries.
- Control Theory: development of complex models for the evolution and control of cyber-physical (hybrid) systems using category theory and topology concepts.