Mark Hyunpong Jhon

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 5

Top Topics

Gaussian Process Regression

Top Venues

Comput. Aided Des.

Int. J. Comput. Integr. Manuf.

Publications

Zhenpei Wang, Brian N. Cox, Shemuel Joash Kuehsamy, Mark Hyunpong Jhon, Olivier Sudre, N. Sridhar, Gareth John Conduit
A compact yet flexible design space for large-scale nonperiodic 3D woven composites based on a weighted game for generating candidate tow architectures. Comput. Aided Des. 167 (2024)
Lucas Lestandi, Jian Cheng Wong, Guoying Dong, Shemuel Joash Kuehsamy, J. Mikula, Guglielmo Vastola, Umesh Kizhakkinan, C. S. Ford, David William Rosen, My Ha Dao, Mark Hyunpong Jhon
Data-driven surrogate modelling of residual stresses in Laser Powder-Bed Fusion. Int. J. Comput. Integr. Manuf. 37 (6) (2024)
Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. CoRR (2023)
Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. SSCI (2022)
Pham Luu Trung Duong, Shaista Hussain, Mark Hyunpong Jhon, Nagarajan Raghavan
Data Driven Prognosis of Fracture Dynamics Using Tensor Train and Gaussian Process Regression. IEEE Access 8 (2020)