IEEE Member & Published Researcher
I'm an active member of the IEEE, the world's largest technical professional organization for the advancement of technology. My research has been peer-reviewed and published in IEEE conference proceedings, with work spanning edge AI and computer vision. I also contribute to the other side of the process, serving as a reviewer for submitted papers at a conference hosted at the University of Texas at Austin — reading, evaluating, and giving technical feedback on other researchers' work. Being part of the IEEE community keeps me connected to engineers and scientists around the world and holds my own work to a professional, publishable standard.
Professional Research
Peer-reviewed and conference-submitted work in computer vision and edge AI.
Adaptive Detection Scheduling for Multi-Object Tracking on Resource-Constrained Edge Devices
A systematic study of detection scheduling for a YOLOv8n detector coupled with a SORT tracker, reaching a 16× speedup while mapping where Kalman coasting breaks down — plus an honest negative result on a content-adaptive scheduler.
View Paper (PDF) →Multimodal Confirmation for Reducing False Fall Alerts: A Simulation Study of the ResQ Decision Policy
A Monte Carlo evaluation of 100,000 monitoring events across 27 operating conditions, cutting false emergency alerts by a mean of 95.9% and deriving the closed-form behavior that decouples perception from human confirmation.
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