Dr Ying Da Wang | UNSW Research

Fields of Research (FoR)

Artificial Intelligence and Image Processing, Petroleum and Reservoir Engineering, Carbon Sequestration Science, Computational Fluid Dynamics, Mining Engineering, Powder and Particle Technology

SEO tags

Climate Change Mitigation Strategies

Energy storage

Other (Energy Resources: Mining and Extraction)

Biography

I am a Senior Lecturer in the School of Minerals and Energy Resources Engineering at UNSW Sydney, working across high performance computing, deep learning, and fluid, particle and continuum mechanics. My current research focuses on solid mechanics in the context of mining applications, using large-scale GPU simulation to model the deformation and failure of rock masses, and on agentic workflows, where AI agents set up, run and check engineering simulations and analyses. This builds on earlier work developing deep learning and computationally efficient flow simulation methods for X-ray micro-computed tomography (micro-CT) imaging of rocks and other porous materials.

PhD opportunities

I am looking for PhD candidates to work in these areas, particularly those with strong programming skills and an interest in computational mechanics or AI-driven engineering workflows. Please email me a short cover letter outlining your research interests, together with your CV and academic transcripts.

https://scholar.google.com/citations?user=dTVGAC0AAAAJ&hl=en#

PhD: 2020, UNSW, Machine Learning Methods and Computationally Efficient Techniques in Digital Rock Analysis and micro-CT Imaging

BE(Hons): 2015, UNSW - University Medal

My Research Supervision

Supervision keywords

Areas of supervision

Solid Mechanics for Mining Applications
- Large-scale simulation of rock mass deformation and failure in caving, underground and open pit mining, using continuum and particle methods on GPUs.
High Performance Computing and Deep Learning for Engineering Simulation
- GPU-accelerated solvers and machine learning methods that make large physical simulations and image-based models fast enough for routine engineering use.
Fluid and Particle Mechanics in Porous and Granular Media
- Flow and transport in porous materials and the mechanics of granular flows, from pore scale (micro-CT imaging and direct simulation) to mine scale.
Agentic Workflows for Engineering
- AI agents that set up, run, check and report simulations and analyses, so that engineering studies can be carried out faster and more reproducibly.