Research

Research Header

Since the Summer of 2018, I have been a member of the TENNLab Neuromorphic Research Group at the University of Tennessee - Knoxville. During this time, I worked as an Undergraduate Research Assistant under the guidance of Dr. Mark Dean, and am now working toward a PhD with Dr. Garrett Rose as my research advisor. This page will detail some of the projects I have been a part of while exploring the future of neuromorphic computing.

Scalable Neuromorphic Array Communications Simulator

SNACC Simulator

The first notable research assignment given to me was to create software that simulates the logical model of scalable asynchronous communications between neuromorphic processors. This work was to support my colleague, Aaron Young, in his development of a scalable neuromorphic communications controller. More information about that project and his other research can be found on his website here.

The primary purpose of this simulator was to serve as the proof of concept for a globally asynchronous locally synchronous communication scheme among neuromorphic processors. Another motivator was the simulator’s ability to identify any adverse corner cases that could cause bottlenecks in the effective processing speed of the scaled-up neuromorphic processor.

GRANT - Ground-Roaming Autonomous Neuromorphic Targeter

GRANT Robot

In an effort to bring neuromorphic hardware to small, resource-constrained embedded systems, TENNLab has a group, of which I am a part of, that works to develop robotic platforms for realizing real-time control applications with neuromorphic processors. GRANT is one of these robotic platforms and is the first to successfully operate controlled by TENNLab’s DANNA2 neuromorphic processor. GRANT is able to complete several tasks including avoiding obstacles while roaming in a room, following a target, and finding a target in a room of obstacles. Work is still ongoing to improve the operation of GRANT.

PANDA - Pong with A Neuromorphic DANNA2 Adversary

Information about PANDA coming soon!

RAVENS - Reconfigurable And Very Efficient Neuromorphic System

Information about RAVENS coming soon!