Zheng-Meng Zhai (翟正蒙) is a fourth-year Ph.D. student in Prof. Ying-Cheng Lai’s chaos research group at Arizona State University. He received his Bachelor’s degree in Electronic Information Science and Technology from Southwest Jiaotong University, and and his Master’s degree in Theoretical Physics from East China Normal University, where he was advised by Prof. Ming Tang. His background is in physics and electrical engineering, with a strong interest in nonlinear dynamics and chaos, and machine learning and neural networks.

His research primarily focuses on solving problems in nonlinear dynamics using machine learning. His current research interests include:

• Inverse modeling with machine learning, such as parameters extraction/tracking
• Nonlinear trajectory tracking control using machine learning
• Machine learning applications in magnetic navigation
• Reservoir computing mechanisms and properties, and their relationship to the brain
• Chaotic systems short- and long-term prediction by machine learning

Recent News

• Jul. 30, 2024. Paper entitled “Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation” published in APL Machine Learning.
• Feb. 23, 2024. Paper entitled “Machine-learning parameter tracking with partial state observation” published in Physical Review Research.
• Sept. 14, 2023. Paper entitled “Model-free tracking control of complex dynamical trajectories with machine learning” published in Nature Communications. \(\rm {\color{tomato} {Highlighted \ as \ a \ Featured \ Article}}\) in Applied Physics and Mathematics.
• Aug. 24, 2023. Paper entitled “Emergence of a resonance in machine learning” published in Physical Review Research.
• Mar. 9, 2023. Paper entitled “Detecting Weak Physical Signal from Noise: A Machine-Learning Approach with Applications to Magnetic-Anomaly-Guided Navigation” published in Physical Review Applied.

Services

• Journal Reviewer: Physical Review X, Physical Review X Energy, Physical Review Applied, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Artificial Intelligence, Neurocomputing, Information Fusion, Information Sciences, IEEE Access, Plos One.

Contact Information

Zheng-Meng Zhai

School of Electrical, Computer and Energy Engineering

Arizona State University

Tempe, Arizona 85281

Email: zhaizhengmeng@gmail.com, zzhai6@asu.edu