Evangelos (Vagelis) Papalexakis
UC Riverside — Computer Science & Engineering (Bourns) · Professor (Ross Family Chair)
Research focus: tensor decompositions / methods · data mining · unsupervised ML · ML for misinformation / scientific data
保护项目 Evangelos (Vagelis) Papalexakis 的预审审核：构建基于张量分解、多视角/多模态 data mining、无监督与监督学习、可解释且可扩展的 ML、可信的科学与工程领域，以及数据科学；引用一个可见项目、论文主题、课程、实验室成果、资助信号或招募信号，并提出第一学期的扩展。
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).
- Use the research-fit evidence first, then verify recent advisor-specific placements, current funding, active recruiting, and program home directly.
- 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）。
- 首先，请优先使用研究契合度证据，随后核实近期导师的具体安置情况、当前资助状态、活跃招募状态以及项目所在地。
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
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