Target Detection, Discrimination, and Geolocating (sensitive/patent pending) IRST, SNIPER, etc.- Developed machine learning methods for target detection and discrimination. Deployed networks inembedded systems.- Developed resolved and unresolved target detection and discrimination algorithms including generating ROC curves and analyzing Multi Hypothesis Tracking (MHT) performance.- Developed method of improving long range target geolocation estimates by fusing disparate sensors. (TRL 8+)Multi-Modal Sensor Fusion for Pilotage in Degraded Visual Environments (DVE) MMSF- Wrote novel, real time algorithms to fuse point cloud, imagery, inertial, and a priori data for degraded visual environment and augmented reality systems. (TRL 7-8)- Developed real time server for data fusion of a-priori and in-situ data sources. (TRL 7-8)- Developed methods for obstacle segmentation and ground plane removal to reducing the pilot’s cognitive workload and simplifying pilot-facing renders to improve surviveability in DVE. (TRL 4-8)- Developed methods for correcting and updating DEM, satellite maps, and point clouds. (TRL 4-8)- Developed Bundle Adjustment method for sensor alignment in Distributed Aperture Systems (DAS). (TRL 4)

Teach core topics and proctor certification examAct as campus connection and National Insturments representative

Modeled and simulated a tele-operated, robotic facility for the variably autonomous repackaging of spent nuclear fuel rods.Inside a simulated environment of Newtonian physics, robotic CAD models were manipulated by haptic devices and keyboard commands. Control regimes for full autonomy were also implemented for efficiency.

Part time

I assisted in remodeling a company building. I worked closely with electricians and framers, effectively giving me hands on construction and engineering experience.

I managed all in and out bound shipments; furthermore, I sorted and added product to inventory.