Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization. - Vispi Karkaria; Anthony Goeckner; Rujing Zha; Jie Chen; Jianjing Zhang; Qi Zhu 002; Jian Cao; Robert X. Gao; Wei Chen 041 (CoRR, 2024)

Security and Privacy of Digital Twins for Advanced Manufacturing: A Survey. - Alexander D. Zemskov; Yao Fu; Runchao Li; Xufei Wang; Vispi Karkaria; Ying-Kuan Tsai; Wei Chen; Jianjing Zhang; Robert Gao; Jian Cao; Kenneth A. Loparo; Pan Li 001 (CoRR, 2024)

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring. - Vispi Karkaria; Jie Chen; Christopher Luey; Chase Siuta; Damien Lim; Robert Radulescu; Wei Chen (J. Comput. Inf. Sci. Eng., 2025)

Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks. - Yi-Ping Chen; Vispi Karkaria; Ying-Kuan Tsai; Faith Rolark; Daniel Quispe; Robert X. Gao; Jian Cao; Wei Chen (CoRR, 2025)

Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning. - Yi-Ping Chen; Ying-Kuan Tsai; Vispi Karkaria; Wei Chen (CoRR, 2025)

An Attention-based Spatio-Temporal Neural Operator for Evolving Physics. - Vispi Karkaria; Doksoo Lee; Yi-Ping Chen; Yue Yu; Wei Chen (CoRR, 2025)