PhD student Bahador Bahmani passed the qualification exam and won the Dongju Lee '03 Memorial Award

Our PhD student Bahador Bahmani has passed the qualification exam at Columbia University. His proposed dissertiation "Manifold-embedding data-driven mechanics" focuses on applying manifold learning to enable robust model-free simulations. 

He has published 6 journal articles, including two papers in CMAME and one in JMPS on the topic of data-driven simulations. 

1. B. Bahmani, W.C. Sun, Distance-preserving manifold de-noising for data-driven mechanics, Computer Methods in Applied Mechanics and Engineering, doi:10.1016/j.cma.2022.115857, 2022. [URL]​​
2. B. Bahmani, W.C. Sun, Manifold embedding data-driven mechanics,  Journal of the Mechanics and Physics of Solids, doi:10.1016/j.jmps.2022.104927, 2022. [PDF]
3. B. Bahmani, W.C. Sun, A kd-tree accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data, Computer Methods in Applied Mechanics and Engineering, 2021. [Video] [PDF]

  
In addition, he has also collaborated in our collaborative NSF project and MURI projects and published papers on causal discovery of granular physics, equviariant geometric learning for digital rock physics, and Generative Adversartial Network for generating microstructures (see below). 

1. X. Sun, B. Bahmani, N. Vlassis, W.C. Sun, Y. Xu, Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation, Granular Matter, doi:10.1007/s10035-021-01137-y, 2021. 
2. C. Cai, N. Vlassis, L. Magee, R. Ma", Z. Xiong, B. Bahmani, T-F Wong, Y. Wang, W.C. Sun, Equivariant geometric learning for digital rock physics. Part I: Estimating formation factor and effective permeability tensors, International Journal for Multiscale Computation and Engineering, doi:10.1615/IntJMultCompEng.2022042266, 2023. [arxiv]


3. P.C.H.Nguyen, B. Bahmani, N.N. Vlassis, W.C. Sun, H.S. Udaykumar, S.S. Baek, Synthesizing Controlled Microstructures of Porous Media using Generative Adversarial Networks and Reinforcement Learning, Scientific Reports, 12:9034, 2022. [URL]

The Dongju Lee memorial award is given in recognition of Bahador's achievement and in honor of his integrity, curiosity and creativity. The Dongju Lee Memorial Award and Memorial Lecture were established with a generous contribution from the Lee Family. 

Congratulations, Bahador for your outstanding achievement!