Thesis Code: 24016
Thesis Type: M.Sc. thesis in Engineering, computer science, environmental science

Research Area: Climate change and Quality of Life

Requirements

  • Experience in using data analysis tools such as Python, R, or MATLAB to process and interpret collected data.
  • Interest in programming, especially Arduino programming for sensor integration.
  • Ability to conduct thorough literature reviews and stay updated on relevant advancements in environmental monitoring, climate change, and sensor technologies.
  • Ability to critically interpret analytical results

Description
This thesis aims to explore the utilization of Arduino-based sensors to develop a comprehensive environmental monitoring system capable of detecting key parameters such as temperature, humidity, CO2 levels, lighting conditions, noise levels, and air pollution. The study will investigate the correlation between these environmental factors and the impacts of climate change, as well as their influence on the well-being of individuals residing and working in environments where these parameters are actively monitored.

The research will involve the deployment of Arduino sensors in various settings to collect real-time data on the specified environmental parameters. Subsequently, the obtained data will be analyzed to identify patterns, trends, and potential correlations between environmental conditions and climate change effects. Additionally, the study will assess how these parameters may affect the physical and mental well-being of individuals exposed to such conditions.

Furthermore, the thesis will propose strategies to correct and optimize the monitored parameters, aiming to bring them within optimal ranges conducive to human health and comfort. The proposed strategies for correction and optimization could serve as a foundation for the development of more sustainable and health-conscious living and working spaces in the face of ongoing climate challenges.

 

References

 

Contacts: send a resume with attached the list of exams to maurizio.arnone@linksfoundation.com specifying the thesis code and title.