Research Assistant
Computational Engineering · China · 2025-07-03
Framework Evaluation
3 of 3 criteria metThe petitioner completed 32 peer-review contributions for prestigious journals such as the Journal of Hydrology and Advances in Water Resources.
Developed AI-driven surrogate models that improved data assimilation efficiency by over 100 times, directly impacting carbon capture and storage technologies.
Authored 15 peer-reviewed articles, including a paper ranked in the top 1% of all engineering papers published in its year.
Why This Petition Was Approved
Evidence
- 15 peer-reviewed articles in top-tier engineering and energy journals
- 428 citations from researchers in 38 countries
- h-index of 9 (top 3% of authors in civil engineering)
- 32 peer-review contributions for journals including Journal of Hydrology and SPE Journal
- Development of AI-driven surrogate models for carbon capture and storage (CCS)
- Research funding from the U.S. Department of Energy (DOE)
- Research funding from the National Natural Science Foundation of China (NSFC)
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