Human Intent Stimulation Testbed Application presents a flexible imagery system for recording and marking EEG activity during image stimulus and user choice. Syncs with Emotiv Epoc EEG.

Developed UX and automation to optimize aircraft test range operation. Integrated with sensor systems across the range to provide video coverage selection, real-time keep-out-zones, triangulation, and situational awareness.

Designed a new user interface for high-energy laser weapon system. Borrowed ideas from video games to make it intuitive and informative to the operator.

Developed machine-learning solutions for detecting anomalies in signals data.

Modified open-source https://satvis.space/ web application to ingest ship tracking data for a government technical scenario execution.

Different writers have different rhythms. Visualizing sentence lengths from average baselines reveals qualitative aspects of collective classics.

For datasets that involve movement over time, an analyst is able to cluster other attributes to create demographics as every combination of the groups (e.g. “any gender, split into ages 0-20 and 20-50” for 2 combinations). Nodes in the resulting transition graph organized by similarity. Highlights presented to trace back to original image source.

Implemented object descriptor in PCL https://pointclouds.org/ that used a clustered codebook of shape histograms to label objects in RBG-D data from sensors such as the Kinect.

Tool for writers to plot novels and screenplays. Connects events similarly to a Sankey diagram.

Prototyping a system to allow an operator to easily control a fleet of mobile vehicles. They will stick together as much as possible to get to the blue goal while separating to avoid the red obstacles and each other where necessary.

Supported Bio City Map of 11 Billion installation art in NYC. Wrote app to arrange USB microscope imagery into a consolidated panel for projection in the museum room.