Dr. Shuheng Liao received his B.S. degree in Mechanical Engineering from Shanghai Jiao Tong University in 2018 and his Ph.D. in Mechanical Engineering from Northwestern University in 2023. Before joining CUHK, he was a Postdoctoral Associate at the Massachusetts Institute of Technology. His research focuses on advancing process design and control for metal additive manufacturing by integrating computational modeling, machine learning, and in-situ process monitoring. He is the recipient of the Belytschko Outstanding Research Award for the best Ph.D. thesis in Mechanical Engineering at Northwestern University. He has also received the Best Paper Award at the International Symposium on Flexible Automation (ISFA) and the North American Manufacturing Research Conference (NAMRC).
- Additive Manufacturing
- Intelligent Process monitoring and control
- Physics-informed Machine Learning
- Computational Mechanics
Journal Papers (in the recent five years)
- Tekoglu E+, Liao S+, Kutschke Z, O’Brien AD, Lettiere B, Li J, Hart AJ. Rapid Exploration of Nanoparticle-Modified Alloys in Metal Additive Manufacturing by Combining Inkjet Printing and Laser Powder Bed Fusion. Additive Manufacturing Letters. 2025 Jul 1;14:100315.
- Liao S, Jeong J, Zha R, Xue T, Cao J. Simulation-guided feedforward-feedback control of melt pool temperature in directed energy deposition. CIRP Annals. 2023 Jan 1;72(1):157-60.
- Liao S, Xue T, Jeong J, Webster S, Ehmann K, Cao J. Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification. Computational Mechanics. 2023 Sep;72(3):499-512.
- Liao S, Golgoon A, Mozaffar M, Cao J. Efficient GPU-accelerated thermomechanical solver for residual stress prediction in additive manufacturing. Computational Mechanics. 2023 May;71(5):879-93.
- Xue T, Liao S, Gan Z, Park C, Xie X, Liu WK, Cao J. JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science. Computer Physics Communications. 2023 Oct 1;291:108802.
- Liao S, Webster S, Huang D, Council R, Ehmann K, Cao J. Simulation-guided variable laser power design for melt pool depth control in directed energy deposition. Additive Manufacturing. 2022 Aug 1;56:102912.
Honours and Awards
- Outstanding Paper Award, North American Manufacturing Research Conference (NAMRC), 2025
- Belytschko Outstanding Research Award, Northwestern University, 2023
- Best Application Paper Award, International Symposium on Flexible Automation (ISFA), 2020