Baike She
Postdoctoral Fellow
Baike She
Postdoctoral Fellow
School of Electrical and Computer Engineering
Georgia Institute of Technology
School of Electrical and Computer Engineering
Georgia Institute of Technology
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Postdoctoral Fellow
Georgia Institute of Technology
Hello, I am Baike She. My research methods draw from dynamical systems, control theory, network science, machine learning, and privacy. I integrate both analytical and computational approaches, focusing on modeling and analyzing real-world network dynamics such as multi-agent systems, information spreading, and disease transmission, while also designing strategies to influence these dynamics.
Hello, I am Baike She. My research methods draw from dynamical systems, control theory, network science, machine learning, and privacy. I integrate both analytical and computational approaches, focusing on modeling and analyzing real-world network dynamics such as multi-agent systems, information spreading, and disease transmission, while also designing strategies to influence these dynamics.
A key challenge in my research is combining model-based and data-driven approaches—leveraging traditional network models alongside modern machine learning techniques to improve system modeling and controller design. I also investigate scenarios where analyses and control designs must account for model inaccuracies. Additionally, I explore composite network dynamical systems by analyzing their sub-networks, aiming to infer the dynamics of large-scale networks through their components and understand how decision-making in one network affects others. By addressing these challenges, my research contributes to the understanding and control of network dynamics in modern social-technological systems.
A key challenge in my research is combining model-based and data-driven approaches—leveraging traditional network models alongside modern machine learning techniques to improve system modeling and controller design. I also investigate scenarios where analyses and control designs must account for model inaccuracies. Additionally, I explore composite network dynamical systems by analyzing their sub-networks, aiming to infer the dynamics of large-scale networks through their components and understand how decision-making in one network affects others. By addressing these challenges, my research contributes to the understanding and control of network dynamics in modern social-technological systems.
Education
Ph.D. Mechanical Engineering, University of Iowa, 2020
M.S. Control Engineering, University of Science and Technology of China, 2016
B.S. Electrical Engineering, Sichuan University, 2013
Working Experience
Postdoctoral Fellow (Jan. 2024 - Now)
School of Electrical and Computer Engineering, Georgia Institute of Technology
Supervised by Prof. Matthew Hale
Postdoctoral Associate (Aug. 2022 - Dec. 2023)
Department of Mechanical and Aerospace Engineering, University of Florida
Supervised by Prof. Matthew Hale
Postdoctoral Research Associate (Sept. 2020 - July 2022)
Elmore Family School of Electrical and Computer Engineering, Purdue University
Supervised by Prof. Philip E. Paré and Prof. Shreyas Sundaram
Research Interests
Control Theory, Dynamical Systems, Network Science, Stochastic Modeling, Category Theory, Machine Learning, and Privacy
(Networked dynamical systems; system identification; data‑driven control; complex systems; structural systems theory; controllability)
Application Areas
Smart communities; systems of systems; infectious diseases spread modeling and control; control for societal‑scale problems; cyber‑physical‑human systems; multi‑agent systems; data privacy
Professional Affiliations
IEEE Senior Member; IEEE Control System Society Member; Publicity Committee of IEEE NextCom
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