Tackling wildfire mitigation with a DOE-funded system for rapid detection of powerline faults. The system features custom instrumentation, patented fault-localization algorithms, and a novel waveform obfuscation technique for cyber-interference defense.
Developed a wearable chemical sensor using micro-porous, silicon, photonic crystals for multi-analyte detection in turbulent gas streams. Traditional functionalization methods proved insufficient, leading Elintrix to successfully use a machine learning workflow.
Successfully analyzed a complex competitor device, overcoming challenges that stumped others. We went a step further - our in-depth power consumption analysis uncovered potential patent violations.
Advancing machinery monitoring with a digital twin solution for the Army Corps of Engineers. We’re integrating multiple sensor inputs, applying data analysis, and developing interrogation methods to extract actionable insights on the operational condition of a large gear train.
Designed a low-power communication link using the human body as a dielectric for capacitive antenna coupling. Our custom modulator/demodulator design, antenna optimization, and system integration enabled successful data transfer with minimal off-body radiation.
Built a custom multi-physics simulation tool incorporating electromagnetic, chemical, mechanical, and thermal modeling. This software predicted time-evolving performance characteristics, empowering the client to design a superior chemical-generation system on their first attempt.
Developed SPARNET, a robust body-worn sensor network designed for harsh training environments. This system features custom radios, network repeaters, a self-healing network layer, and monitoring applications.
Pioneered Structural Health Monitoring (SHM) for prosthetics, leading to an ONR workshop and subsequent funded research. In collaboration with medical and academic leaders, we developed a risk-based strategy and software tool for optimal sensor placement on osseo-integrated implants.