Research & Technical Evidence

Selected work behind NAVORA's technical capabilities.

For customers, reviewers, and research partners who want to look deeper, this page provides direct links to published and institutional records associated with members of NAVORA's technical team.

Some work listed here predates NAVORA and was completed through universities, laboratories, and research collaborations. It is presented as evidence of the technical experience of NAVORA team members, not as a claim that every project was a NAVORA contract.

AI & Autonomous Systems

Moral Decision Making: Explainable Insights into the Role of Working Memory in Autonomous Driving

Machine learning and explainable analysis applied to decision behavior under cognitive load and time pressure in simulated autonomous driving scenarios.

Machine Learning with Applications · 2024
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Internet of Things Based Drowsiness Detection and Intervention System

Video processing, real time IoT monitoring, driver identification, drowsiness detection, alerts, and location based intervention logic.

AHFE Open Access · DOI 10.54941/ahfe1002955
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Test, Measurement & Validation

Air Coupled Impact Echo Testing of Buried Concrete Pipes

Noncontact acoustic sensing, controlled excitation, instrumentation, numerical analysis, laboratory experimentation, and validation for infrastructure inspection.

Louisiana Tech University · Doctoral Research · 2023
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Real Time Vibration Monitoring and Analysis of Agricultural Tractor Drivers Using an IoT Based System

Field measurement using vibration sensors, IoT enabled acquisition, signal analysis, and real operating conditions.

Journal of Field Robotics · 2023
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Human Factors Engineering

Human Autonomy Teaming for Future Commercial Aviation Concepts of Operations

Human centered design for future single pilot operations, including task analysis, function allocation, teaming requirements, and system evaluation.

Handbook of Sociotechnical Systems · 2026
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Design Factors of Digital Control Rooms in Small Modular Reactors

Research addressing situation awareness, workload, automation, vigilance, alarms, interfaces, coordination, and fatigue in digital nuclear control rooms.

IEEE Access · 2026 · DOI 10.1109/ACCESS.2026.3683165
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Modeling & Simulation

Predicting Ride Comfort in High Speed Rail Using Machine Learning

Validated vehicle and track simulation combined with machine learning surrogate modeling for faster engineering assessment of ride comfort.

High speed Railway · 2026
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Internet of Agriculture: Analyzing and Predicting Tractor Ride Comfort Through Supervised Machine Learning

Real field vibration measurement, IoT sensing, spectral analysis, and supervised machine learning used for predictive engineering.

Engineering Applications of Artificial Intelligence · 2023
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Research & Professional Profiles

Direct links to publication records and professional profiles for NAVORA's technical team.

Founder & Principal Engineer

Yash Kumar Dhabi, PhD

Research publications, citation record, and professional background.

Work With NAVORA

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