Hannah Kerner
Arizona State University — School of Computing & Augmented Intelligence (SCAI) · Assistant Professor
Research focus: ML for environment / remote sensing · ML for agriculture/sustainability · computer vision · benchmarking
保护项目 1：构建基于机器学习可持续性的适配图，涵盖遥感、农业、地球观测等领域，并涵盖保护项目 0 和 2。请提及一项近期论文或项目，并说明您计划在第一个学期启动的一项具体扩展。
Who this advisor fits / 什么情况下适合你
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Strong fit for ML applicants with remote-sensing, climate, agriculture, or science-for-society evidence; evaluate as an early-career lab with active growth.
- 工业研究或创业/转化路径对你有吸引力（公开去向里占比不低）。
- 对于具备遥感、气候、农业或社会福祉相关经验的 ML 申请人，评估为具有活跃增长潜力的 rl 型职业实验室。
What to watch for / 什么情况下要慎重
- Faculty-only is your sole goal and you want zero industry/translation exposure.
- 你把「教职为唯一目标」且完全不想碰工业/转化网络。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
The thing applicants say only 师兄师姐 can tell you — current & former students of this lab, verified by their school .edu. Open the full dossier to read or add a verified note.