Na Li
Harvard SEAS CS · Winokur Family Professor of Electrical Engineering and Applied Mathematics; Area Chair for Electrical Engineering
Research focus: reinforcement learning for control · multi-agent learning · optimization and control · cyber-physical systems
手动应用保护类（PROTECT_6）的校准与准备审计：请作为控制/优化/RL类应用，以严肃数学为基础，避免使用严重数学问题：multi-agent learning、cyber-physical systems、能源系统、机器人cs或物理/代理类应用AI。
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 combine rigorous control/optimization/RL theory with demonstrable cyber-physical or multi-agent application judgment.
- 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。
- 申请阶段应结合严谨的控制与优化理论，并展示对可观测的计算机 - 物理或多智能体系统判定的能力。
Public evidence as of 2026-06-10
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