WCCM 2024 — Vancouver, Canada
Wrapping up WCCM 2024 in Vancouver, Canada
The World Congress in Computational Mechanics (WCCM) 2024 was an incredible experience filled with groundbreaking research and inspiring discussions.
Short Course — Scientific Machine Learning
I had the privilege of assisting Dr. Gianmarco Mengaldo in his short course titled “Scientific Machine Learning: Application to Computational Mechanics.” Dr. Mengaldo explored the various applications of interpretable AI in engineering and weather, providing invaluable insights.
Plenary Sessions
I was particularly delighted to attend several impactful plenaries, including:
- Mathematical and Computational Foundations for Predictive Digital Twin by Dr. Karen Willcox
- Buckling Phenomena: From Computational Aspects to the Design of Aerospace Composite Structures by Dr. Chiara Bisagni
Mini-Symposiums
Attending the mini-symposiums was a highlight of the conference. A few standout talks:
Convolutional Variational Physics-Informed Neural Networks to Solve a Finite Element Formulation by Mohammed Abda (Polytechnique Montreal) — Mohammad proposed an extension to Physics Informed Neural Networks (PINN) to approximate weak-form residuals of time-dependent PDEs using convolution operations.
Coupling Variational Data Assimilation and Operator Learning for Effective State Estimation in Complex Systems by Stiven Briand Massala — Stiven introduced a hybrid twin approach combining variational data assimilation (PBDW) with operator learning (DeepONets) to reconstruct the state of an imperfect physical system.
Deep Generative Modeling for Data-Driven Identification of Noisy, Non-Stationary Dynamical Systems by Dr. Doris Voina (University of Washington) — Doris combined a framework for data-driven discovery of stochastic differential equations with a neural network module to identify switches in parametric time dependencies, resulting in the novel Dynamic HyperSINDy method.
IACM Female Research Chapter Event
It was a pleasure to attend the women’s networking event, where we learned more about Professor Stefanie Elgeti and connected with female researchers including Kati Nispel, Caroline Chung, and Jenmy Zhang.
Poster Session and Presentation
Absolutely thrilled and deeply honored to present our work at the MathEXLab during WCCM 2024!
Poster: Characterizing Structural Nonlinearities Using Neural Networks and Post Hoc Interpretability
Jiawen Wei and I developed a new framework to characterize structural nonlinearity. Engaging with everyone who visited our sessions was a delight. Your enthusiasm and insights have left us energized and excited for future collaborations.
I also presented this work in the mini-symposium session.
A heartfelt thank you to all who made this experience so memorable!
#WCCM2024 #ScientificML #ComputationalMechanics #AI #PredictiveDigitalTwin #PhysicsInformedNN #DynamicSystems #WomenInSTEM