Coordinated engagement across instructional roles is essential to enabling effective learning environments. We leverage recent developments in behavioral signal processing and the internet of things (IoT) to design cyber-physical human systems that support adaptive instructional strategies and optimize learning interactions in classroom and industrial settings

Impairments in motor function related to neurological and behavioral conditions affect individuals across demographic segments, with particularly challenging recovery trajectories in contexts where long-term therapeutic infrastructure is limited. While the mechanisms underlying gait recovery and motor adaptation remain only partially understood, empirical evidence underscores the role of environmental feedback in shaping progress. We leverage wearable biosensors and non-invasive neuromodulation to develop real-time, closed-loop rehabilitation systems that support motor learning, adaptive control, and gait stabilization in dynamic, daily-life conditions

In environments with constrained infrastructure and limited financial instruments, group-level coordination is essential for effective resource management under uncertainty. We design intelligent systems that enable behavioral adaptation by supporting distributed decision-making, cooperative planning, and routine monitoring. These systems are applied to real-world resource-sharing scenarios—such as decentralized water management and rotating savings mechanisms—where collective behavioral patterns drive system stability and efficiency.