Janique Ettel

My name is Janique Ettel, and my research explores how the Internet of Things (IoT) can be used to develop intelligent monitoring systems that support resilient preservation across cultural, environmental, and infrastructure domains. With a background in information systems and sustainability science, I am deeply committed to creating technologies that ensure long-term stability and protection of critical assets. As climate risks, urbanization, and data fragility continue to threaten physical and digital infrastructure, IoT-enabled monitoring offers a powerful approach to building systems that can sense, adapt, and respond in real time.

In my current work, I design and implement sensor-driven IoT architectures for continuous monitoring of parameters such as temperature, humidity, air quality, vibration, and structural integrity. These systems are tailored for sensitive environments—such as archives, historical buildings, museums, and climate-exposed infrastructures—where data-driven intervention is key to preserving assets. I combine edge computing, wireless sensor networks, and cloud analytics to ensure high-frequency data capture, fault detection, and predictive alerts. The goal is to transition from reactive preservation toward proactive, intelligent maintenance supported by real-time situational awareness.

My name is Janique Ettel, and my research explores how the Internet of Things (IoT) can be used to develop intelligent monitoring systems that support resilient preservation across cultural, environmental, and infrastructure domains. With a background in information systems and sustainability science, I am deeply committed to creating technologies that ensure long-term stability and protection of critical assets. As climate risks, urbanization, and data fragility continue to threaten physical and digital infrastructure, IoT-enabled monitoring offers a powerful approach to building systems that can sense, adapt, and respond in real time.

In my current work, I design and implement sensor-driven IoT architectures for continuous monitoring of parameters such as temperature, humidity, air quality, vibration, and structural integrity. These systems are tailored for sensitive environments—such as archives, historical buildings, museums, and climate-exposed infrastructures—where data-driven intervention is key to preserving assets. I combine edge computing, wireless sensor networks, and cloud analytics to ensure high-frequency data capture, fault detection, and predictive alerts. The goal is to transition from reactive preservation toward proactive, intelligent maintenance supported by real-time situational awareness.