At China University of Geosciences, Wuhan, I designed an end-to-end AI workflow to reconstruct statistically equivalent 3D digital rock models from 2D SEM images using U-Net segmentation and SliceGAN. I also developed Python workflows for automated mineral identification and segmentation across up to 19 mineral classes.
I integrated deep learning, image analysis, scientific computing, and numerical simulation into a Digital Rock Physics framework, and contributed AI methodologies supporting Digital Twin development for unconventional reservoirs.
At Politecnico di Torino, Italy, I simulated underground ventilation systems and used computational modeling to optimize environmental and safety performance. I also published peer-reviewed research in fire safety and infrastructure modeling.
My work spans AI-driven subsurface modeling and mining operations. I contributed to open-pit mine planning, coordinated drilling and hauling operations, and supported equipment allocation and slope monitoring.
