Background
My name is Mohsen, and I am a researcher in vibration-based methods for structural health monitoring. I hold a master’s degree in Earthquake Engineering from Sharif University of Technology, the most prestigious university in Iran. My research for the master’s degree focused on the dynamic behavior of structures under moving loads, a common issue in engineering applications such as bridges and railways. Hence, I have a solid background in mathematics and vibration. Moreover, given my background in civil and earthquake engineering, I have profound knowledge of modern building codes, principles in analyzing the dynamic behavior of structures, and advanced design approaches in this regard.
Motivation
In the last decades, advancements in technology and construction have led to the development of infrastructure such as bridges. Nonetheless, no matter how well structures are designed, they inevitably deteriorate over time. This challenge motivated me to be involved in the DC1 PhD project—CROWD: Mobile Crowdsensing and IoT for Bridge System Identification. My project aims to enhance indirect structural health monitoring methods by utilizing data collected through mobile devices and cloud computing. This new approach enables constant monitoring of bridge conditions without initial investments in sensing devices, which offers a cost-effective technique for engineers to remotely access datasets.