Mani Srivastava
UCLA CS AI / ML · Professor, Electrical and Computer Engineering
Research focus: embedded systems · ubiquitous computing · cyber-physical systems · IoT
手动审核申请准备：申请人应展示嵌入/IoT/移动系统能够与清晰的AI、感知、隐私或cyber-physical systems桥梁有效协同。
Who this advisor fits / 什么情况下适合你
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Applicants should show embedded/IoT/mobile systems work with a clear AI, sensing, privacy, or cyber-physical systems bridge.
- 你在意学术教职/教职轨去向，公开校友里有可核对的教职案例。
- 申请人应展示嵌入/IoT/移动系统，并与清晰的AI、感知、隐私或cyber-physical systems桥接工作。
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.