Topic: Advancing Intermittent IoT Systems with Resiliency and Intelligence

Next in our spring seminar series, we welcome Dr. Chen Pan, an Assistant Professor from the University of Texas at San Antonio.

Abstract:
This presentation will present innovative solutions to enhance IoT systems under intermittent energy conditions. First, it will introduce a sparsity-aware data sensing framework for efficient energy management in data acquisition. Then, the presentation will discuss a novel software paradigm for optimizing energy utility in edge devices for transient computing. After that, it will present a self-healing MAC protocol to ensure resilient communication against power interruption. Finally, the presentation will introduce an adaptive deep reinforcement learning-based routing policy for optimizing energy allocation and routing to improve networking performance. These approaches collectively aim to advance IoT infrastructure, emphasizing sustainability, intelligence, and resiliency under power-intermittent scenarios.

You can see the presentation live at the UTSA Main Campus in the Student Union Mesquite room (2.01.24).

Those who cannot attend in-person are welcome to tune in virtually through Zoom: https://utsa.zoom.us/j/94807623288.