Research Projects

1) Spatiotemporal Analytics For Additive Manufacturing (AM)

Objective: Integrate advanced machine learning models with domain knowledge for spatiotemporal modeling and monitoring of AM

Approaches: additive Gaussian process modeling; multiscale basis function modeling; engineering-guided deep learning

References: 

H. Yang, S. Zhang, Y. Lu, P. Witherell, and S. Kumara, “Spatiotemporal Monitoring of Melt-pool Variations in Metal-based Additive Manufacturing,” IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 8249–8256, 2022. https://doi.org/10.1109/LRA.2022.3187540

S. Zhang, Y. Lu, and H. Yang, “Multiscale Basis Modeling of 3D Melt-pool Morphological Variations for Manufacturing Process Monitoring, ”The International Journal of Advanced Manufacturing Technology, pp. 1–12, 2024. https://doi.org/10.1007/s00170-024-13377-2

S. Zhang, H. Yang, Z. Yang, and Y. Lu, “Engineering-guided Deep Learning of Melt-pool Dynamics for Additive Manufacturing Quality Monitoring,” Journal of Computing and Information Science in Engineering, vol. 24, no. 10, 2024. https://doi.org/10.1115/1.4066026 

Objective: develop engineering-guided generative models to simulate system dynamics for in-situ quality diagnosis

Approaches: generative adversarial networks; diffusion models

References: 

S. Zhang and H. Yang, “Dual Generative Adversarial Networks for Neighborhood Learning and Prediction of Melt-Pool Dynamics in Additive Manufacturing ”, Journal of Computing and Information Science in Engineering (under review)

3) Computer Simulation and Optimization of Virus Spread in Spatial Networks

Objective: Integrate widely available data and computer simulations for tracking human mobility and virus spread in a spatial region

Approaches: complex networks

References: 

• S. Zhang, S. Yang, and H. Yang, “Statistical Analysis of Spatial Network Characteristics in Relation to COVID-19 Transmission Risks in US Counties”, Proceedings of IEEE 43rd Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), Oct. 31-Nov. 4, 2021, Virtual. https://doi.org/10.1109/EMBC46164.2021.9629892

• S. Zhang, M. Ventura, and H. Yang, “Network Modeling and Analysis of COVID-19 Testing Strategies”, Proceedings of IEEE 43rd Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), Oct. 31-Nov. 4, 2021, Virtual. http://doi.org/10.1109/EMBC46164.2021.9629754

• S. Zhang and H. Yang, “Spatial Modeling and Analysis of Human Traffic and Infectious Virus Spread in Community Networks”, Proceedings of IEEE 43rd Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), Oct. 31-Nov. 4, 2021, Virtual. https://doi.org10.1109/EMBC46164.2021.9630798