Research Experince

  • 2018-ongoing

    BioGears

    BioGears is an open source, comprehensive, extensible human physiology engine released under the Apache 2.0 license that will drive medical education, research, and training technologies. BioGears enables accurate and consistent physiology simulation across the medical community. The engine can be used as a standalone application or integrated with simulators, sensor interfaces, and models of all fidelities.

  • 2014-2018

    ARC4

    ARC4 delivers accurate augmented reality (AR) for outdoor mobile applications. ARC4 users see geo-registered icons overlaid on their real-world view. ARA has successfully integrated ARC4 technology with a variety of heads-up displays and computing platforms. ARC4 can deliver leap-ahead AR situational awareness for your commercial, government, or tactical need.

  • 2009-2013

    Simulated MIG Lab

    Simulated MIG Lab is an immersive training simulation designed to rapidly induct students to the complex lessons of early weld training. It was developed to meet the low-cost requirements of a city run technical institute. The project provides a reasonably accurate simulation that would function on commodity hardware developed new approaches, which departed from current simulations on the subject. Advanced attention was given to the development of the weld bead and undercut to allow post weld inspection as part of the learning process. This work was eventually extended in to my PH.D subject mater

  • 2009-2010

    LIDAR Reconstruction

    Preliminary work in LiDAR reconstruction using remote telemetry from automated drones. To be used in multi source time-lapsed intelligence visualization in conjunction with the US Military. A state of the art survey was performed for both commercial and academic solutions. Additionally, multiple implementation comparisons using acquired datasets provided a complete review in order to present the proposed forward moving research direction.

  • 2008-2011

    Virtual Volcano

    Virtual Volcano takes the research experience gained from the Virtual Storm project and attempts to apply and extend them to the field of Volcanology. A multi platform and interface abstract application allows for the exploration of multiple volcanic archetypes. Project was inspired to remove misconceptions in introductory students developed through a lifetime of exposure to false literary representations. Application can be run locally or differed to a remote server with interfaces available for desktop and VR paradigms.

  • 2007-2008

    JANUS VF

    Tracking solution involving a cooperation of both the hardware sensors and the software rendering system. A small, high-resolution camera is worn on the user's head, but faces backward (180 degree rotation about vertical from the user's perspective). After acquisition of the initial state, the VR rendering software draws specific fiducial markers with known size and absolute position inside the VR scene. These virtual markers are only drawn behind the user and in view of the camera. These fiducials are tracked by ARToolkitPlus and integrated by a singleconstraint-at-a-time (SCAAT) filter algorithm to update the head pose. Experiments analyzing accuracy, precision, and latency in a six-sided CAVE-like system show performance that is comparable to alternative commercial technologies.

    • - Awarded Best Paper of IEEE VR Conference Proceedings 2009
    • - Extended publication in IEEE Visualizations and Computer Graphics 2011

  • 2007-2009

    Virtual Storm

    Partnered with Iowa State the researched focused on improving the educational transfer achieved when interacting with the program developed previously as part of an NSF funded project. The creation of additional objectives and the inclusion of higher resolution data elements for interactive sampling greatly improved feedback during user studies. Project results are still used regularly in undergraduate components of Iowa State's introduction to Meteorology.