A positivity preserving adaptive moving mesh method for cancer cell invasion models. - Mohamed H. M. Sulman; Truong Nguyen 003 (J. Comput. Appl. Math., 2019)

A Positivity Preserving Moving Mesh Finite Element Method for the Keller-Segel Chemotaxis Model. - Mohamed H. M. Sulman; Truong Nguyen 003 (J. Sci. Comput., 2019)

An Adaptive EM Accelerator for Unsupervised Learning of Gaussian Mixture Models. - Truong Nguyen 003; Guangye Chen; Luis Chacón (CoRR, 2020)

Domain decomposition parabolic Monge-Ampère approach for fast generation of adaptive moving meshes. - Mohamed H. M. Sulman; Truong B. Nguyen; Ronald D. Haynes; Weizhang Huang (Comput. Math. Appl., 2021)

An unsupervised machine-learning checkpoint-restart algorithm using Gaussian mixtures for particle-in-cell simulations. - Guangye Chen; Luis Chacón; Truong B. Nguyen (J. Comput. Phys., 2021)