Evolvable Hardware
By applying evolutionary algorithms to reprogrammable hardware devices - such as field programmable gate arrays - novel and counterintuitive circuit designs can be evolved intrinsically to the device architecture.
Dynamic Neural Networks
Time series integration of artificial neural networks can generate extremely complex and desirable behaviors, however it can be difficult to identify the necessary parameters for a given task.
Cognitive Robotics
Enabling robotic systems to perform increasingly complex tasks has proven to be a non-trivial pursuit. By embedding sophisticated cognitive architectures, robots can become increasingly autonomous.
Where I Do It
Collaboration is key. I work with colleagues, peers, and professionals in disparate domains across academia, industry, and government. Bridging each of the bureaucratic divides and connecting with the experts is a personal specialty of mine.
Indiana University
Working with Dr. Randall Beer and Dr. Eduardo Izquierdo at Indiana University's Evolutionary and Adaptive Systems lab, my research focuses on the myriad dimensions of evolvable hardware, such as intrinsic analog circuit evolution and electronic neuroevolution.
Thinker Labs
An industry lab in Bloomington, Indiana where I work to bridge institutional divides and generate partnerships between academia, industry, and government. Our efforts on use-inspired research straddles the line between basic and applied science.
NASA Glenn Research Center
In collaboration with GRC's Cognitive Communication project, we aim to advance cognitive radio research to support NASA's increasing demand for space, weight, and power (SWaP) efficient deep space radio communication.
Naval Surface Warfare Center Crane
In conjunction with Thinker Labs, we support naval research activity at Crane by applying AI/ML to tackle the next generation of national security threats including cybersecurity, trusted microelectronics, autonomous robotics, and drone warfare.