PhD researcher · AI for Science · Harbin Institute of Technology
AI for Science: from impact signals to spacecraft protection.
Personal website · Google Scholar · jipeng@stu.hit.edu.cn
- Whipple RPP — Predicting residual spacecraft protection from acoustic signals; I built the simulation/training pipeline and surrogate-model comparisons.
- AE-PDSM — Predicting perforation and pitting morphology from acoustic signals; I built the FE–SPH data pipeline, model and validation workflow.
- elsevier-figure-style — Independent, unofficial research-figure tooling; I developed Python/R styles, Python source checks, export validation and Agent visual QA.
- scikit-fem — Periodic finite-element fixes and separate-array mesh I/O. #1223, #1222, #1221. Author-submitted PRs merged upstream.
- PyDyna — LS-DYNA execution fixes and tests, integrated by maintainers. #1336, #1337. My original contributions were integrated by maintainers and merged through these two mirror PRs.
- PyVista — Array-view and write-back fixes with regression tests. #9276. Author-submitted PR merged upstream.
- Zarr — Data-type compatibility and serialization fixes with regression tests. #4381. Author-submitted PR merged upstream.
- Trimesh — SVG rotation and composed-transform fixes with regression tests. #2602. Author-submitted PR merged upstream.
Open to AI4S research internships and collaborations.