Fleet operators, insurers, and safety researchers often face the same bottleneck: converting reliable, continuous behavioral data out of real vehicles and into actionable analysis. My lab operates an end-to-end naturalistic driving data infrastructure — OBD-II recorders deployed in participant vehicles, secure MQTT-based wireless transmission, and cloud storage (S3) — that captures kinematics, location, and driving events continuously and at scale, without disrupting normal driving. The system has been deployed in active NIH-, NSF-, and Industry funded studies tracking patients returning to driving and high-risk drivers, with data pipelines purpose-built for longitudinal safety monitoring, behavioral pattern detection, and individualized feedback.
Engagements can be structured around three milestones: (1) instrument — deploy recorders in your target fleet or participant population and validate data quality; (2) analyze — apply validated ML algorithms for safety event detection, driver profiling, behavioral change tracking, or nudge-based interventions; and (3) deliver — produce driver scorecards, fleet-level risk dashboards, or peer-reviewed evidence for regulatory or insurance purposes. Past deployments have supported clinical decision-making around driving fitness, nurse drowsy-driving mitigation, and telematics-based insurance feedback, with partners including NIH, NSF, and American Family Insurance.
The University of Wisconsin–Madison is the state’s flagship public research university, a comprehensive institution with a large research enterprise and broad disciplinary breadth. Industry engages through shared instrumentation, pilot‑scale testbeds, and co-located core facilities that support prototyping and scale-up. An affiliated research and technology park hosts startups and corporate R&D, while integration with a major hospital system enables clinical translation; a statewide extension network connects campus advances to companies and communities across Wisconsin. Research is sustained by competitive federal funding from agencies such as NIH, NSF, DOE, USDA, and DoD, alongside state and industry partnerships. Dedicated commercialization support—through an affiliated foundation and campus offices—provides IP management, licensing, startup mentoring, and flexible, industry-friendly agreements.