I’m Ran, a recent graduate with a Master’s degree from the Technical University of Munich (TUM). I am about to commence my three-year PhD journey at Politecnico di Torino within the framework of the FOURIER project.
During my master’s studies, I explored diverse research areas, including nondestructive testing (NDT), building physics, circular construction, and Building Information Modeling (BIM). My master’s thesis was an integrated research project that spanned wireless sensing technology, preventive conservation of historical structures, and energy efficiency. In it, I proposed an innovative environmental monitoring concept based on multiphysics simulation. Furthermore, while on a research exchange at EPFL, I contributed to the EESD Lab’s ongoing computational design project for lunar infrastructure, gaining practical experience in 3D reconstruction and the automatic construction of masonry structures.
My upcoming PhD research will focus on developing real-time, multimodal deep learning models using non-contact sensors such as LiDAR, laser Doppler vibrometry (LDV), and RGB and thermal cameras. These models are designed to surpass the data extraction capabilities of conventional computer vision methods. The processed data will then be visualized through augmented reality (AR) wearable devices, which are integrated with multi-sensor arrays and a minicomputer.
Beyond the advanced and interdisciplinary nature of the research, I was particularly drawn to FOURIER by its strong network of academic and industrial partnerships. I am truly eager and honored to have the opportunity to contribute to bridging the gap between academia and industry.
