Brad Denby
Assistant Professor
Marty and Anna Irvine Faculty Fellow
Department of Aerospace and Ocean Engineering
VT National Security Institute Affiliate Faculty
Virginia Tech
Blacksburg, VA
Department of Aerospace and Ocean Engineering
VT National Security Institute Affiliate Faculty
Virginia Tech
Blacksburg, VA
I am an assistant professor at the Virginia Tech Aerospace and Ocean Engineering Department. I completed my PhD in Electrical and Computer Engineering at Carnegie Mellon University (CMU). Before that, I worked as a research engineer at the Autonomy and Navigation Technology (ANT) Center in the Air Force Institute of Technology (AFIT). During that time, I completed my MS in computer engineering. As an undergraduate, I studied physics, mathematics, and computer science.
As embedded devices get smarter, energy systems stay dumb. Embedded smart energy enables devices to do more for longer with physics-informed energy scheduling, energy caching, and smart energy management.
Cyber-physical systems operate under limits on energy, sensor data quality, communication, and computation. Machine learning and artificial intelligence enable new capabilities when deployed on these resource-constrained devices.
In space and other remote environments lacking infrastructure, communication opportunities are limited and resource-intensive. Delay and disruption tolerant networking supports communication in challenging environments.
Many university-scale satellites fly new, one-of-a-kind sensors. Starbelt satellites use flight-proven sensors and justify missions by adding data-processing hardware.
Small drones expend significant power on flight, computation, and communication. Balance among these factors determine end-to-end performance.
Low-SWaPC sensors face challenges in data quality, communication, and energy availability. Low-cost, sensor-scale devices create new possibilities for ubiquitous maritime monitoring.