My heart is in the work! --- Andrew Carnegie
For more on this quote, check the webpage.
Wind rises from the tip of the duckweed; waves form between minute ripples. In the domain of Structural Health Monitoring, critical insights often begin as imperceptible signals. Detecting the "wind at the tip of the duckweed" is central to preventing catastrophic failure.
Intro Figure

About me

Image of Jichuan Tang

Ph.D. student
Civil Engineering

University of Notre Dame
155 Fitzpatrick Hall
Notre Dame, IN 46556
(574) 303-5976
jtang4@nd.edu

Education

Jichuan is a dedicated Ph.D. student in Civil Engineering at the University of Notre Dame, serving as a Graduate Research Assistant within the Brewick Group led by Prof. Patrick Brewick. His research focuses on dynamic control, structural health monitoring, and machine learning applications in engineering. Additionally, he works as a Teaching Assistant for courses including Structural Dynamics and Civil Engineering Materials.

He earned his M.S. in Civil Engineering from Tianjin University in 2022. During his master's program, he broadened his research horizons as a visiting student at the Laboratory for Intelligent Infrastructure Technology (LIFT) at Nanyang Technological University in Singapore. Prior to joining Notre Dame, he gained further experience as a research assistant at the Institute of Urban Smart Transportation and Safety Maintenance at Shenzhen University.

Jichuan possesses a solid foundation in structural dynamics and control theory, complemented by practical expertise in coding (MATLAB/Simulink/Python). His research primarily explores the intersection of high-performance computational methods and smart sensing technologies, particularly within structural health monitoring. His key areas of expertise include:

  • Multi-fidelity and surrogate modeling.
  • Scientific machine learning and artificial intelligence.
  • Uncertainty quantification and Bayesian inference.
  • Dynamics control utilizing deep reinforcement learning.
  • Development and deployment of wireless sensors.
Vision Figure
University of Notre Dame Tianjin University Nanyang Technological University Shenzhen University

Awards

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University of Notre Dame

To promote interdisciplinary integration with artificial intelligence, sponsored as an SAI fellow from 2025, I aimed to incorporate AI methods into my work while collaborating with AI researchers to deepen the impact within specific scientific domains.
Sponsored by the University of Puerto Rico and the University of Notre Dame (2026).

Tianjin Univeristy

Awarded in 2022 by Tianjin University.
Awarded in 2021 (International Cooperation Program for Innovative Talents).
Awarded by Tianjin University (2019-2022).

Hubei University of Technology