Wenqi Cui

  • Incoming Assistant Professor

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I am looking for self-motivated PhD students and postdoc starting in Fall 2025. If you are interested, feel free to email me (wenqicui@nyu.edu) with your CV and transcripts. More info can be found in https://wenqi-cui.github.io/

Dr. Wenqi Cui will join the Department of Electrical and Computer Engineering as a tenure-track Assistant Professor in Fall 2025. Dr. Cui is currently a Postdoctoral Scholar at the California Institute of Technology (Caltech). Dr. Cui earned the Ph.D. degree from the University of Washington, the master’s degree from Zhejiang University and bachelor’s degrees from Southeast University.

Dr.Cui’s research interest lies in the intersection of control, machine/reinforcement learning, and optimization for sustainable power and energy systems, with applications extending to general cyber-physical systems. Her research group aims to develop fundamental theories and algorithms to tackle challenges in decarbonizing energy systems, and provide safe and robust AI-based solutions for real-world applications.

Dr. Cui has received several prestigious fellowships and awards including the Pioneer Postdoctoral Fellowship, PIMCO Postdoctoral Fellowship, Rushmer Innovator Fellowship, Sarala Vadari Award, etc. Dr. Cui have also been named as one of the Rising Stars in EECS in 2022 and the Rising Stars in Cyber-Physical Systems in 2023.

Research Interests
Power and energy systems, control, optimization, machine learning & reinforcement learning.

I am looking for self-motivated PhD students and postdoc starting in Fall 2025. If you are interested, feel free to email me (wenqicui@nyu.edu) with your CV and transcripts. 

Dr. Wenqi Cui will join the Department of Electrical and Computer Engineering as a tenure-track Assistant Professor in Fall 2025. Dr. Cui is currently a Postdoctoral Scholar at the California Institute of Technology (Caltech). Dr. Cui earned the Ph.D. degree from the University of Washington, the master’s degree from Zhejiang University and bachelor’s degrees from Southeast University.

Dr.Cui’s research interest lies in the intersection of control, machine/reinforcement learning, and optimization for sustainable power and energy systems, with applications extending to general cyber-physical systems. Her research group aims to develop fundamental theories and algorithms to tackle challenges in decarbonizing energy systems, and provide safe and robust AI-based solutions for real-world applications.

Dr. Cui has received several prestigious fellowships and awards including the Pioneer Postdoctoral Fellowship, PIMCO Postdoctoral Fellowship, Rushmer Innovator Fellowship, Sarala Vadari Award, etc. Dr. Cui have also been named as one of the Rising Stars in EECS in 2022 and the Rising Stars in Cyber-Physical Systems in 2023.