Zihan Wang, Ph.D.

Assistant Professor Department of Mechanical Engineering (248) 370-2235 [email protected] https://zihanw97.github.io Ph.D., Mechanical Engineering, University of Connecticut, 2024

Teaching

• Computer-Aided Engineering
• Machine Learning for Engineering Design

Research

• AI-enabled engineering design and design automation
• Computational design and inverse design of materials and structures
• Design under uncertainty and uncertainty-aware machine learning
• Design for manufacturing and manufacturing-aware engineering design

Selected Publications

1. Wang, Z., Bhaduri, A., Xu, H., & Wang, L., “An uncertainty-aware deep learning framework-based robust design optimization of metamaterial units,” 2025.
2. Xu, L., Wang, Z., Rodgers, T., Liu, D., Tran, A., & Xu, H., “Exascale granular microstructure reconstruction in 3D volumes of arbitrary geometries with generative learning,” Acta Materialia, 289, 120859, 2025.
3. Wang, Z., Bray, A., Khanghah, K. N., & Xu, H., “Designing connectivity-guaranteed porous metamaterial units using generative graph neural networks,” Journal of Mechanical Design, 147(2), 2025.
4. Wang, Z. & Xu, H., “Manufacturability-aware deep generative design of 3D metamaterial units for additive manufacturing,” Structural and Multidisciplinary Optimization, 67, 2024.
5. Xu, L., Hoffman, N., Wang, Z., & Xu, H., “Harnessing structural stochasticity in the computational discovery and design of microstructures,” Materials & Design, 223, 111223, 2022.

Awards

• ASME Design Automation Dissertation Award, 2025
• MIT Rising Stars in Mechanical Engineering, 2025
• BPart Fellowship, ASME Design Engineering Division, 2022
• General Electric (GE) Fellowship, UConn, 2020

Academic Service

• Invited reviewer for journals including Additive Manufacturing, International Journal of Mechanical Sciences, npj Metamaterials, Engineering Applications of Artificial Intelligence, Engineering Structures, Knowledge-Based Systems, Measurement, Progress in Additive Manufacturing, Applied Mathematical Modelling, Structural and Multidisciplinary Optimization, Scientific Reports, Journal of Mechanical Design, International Journal for Numerical Methods in Engineering, Plasmonics, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, and SAE International Journal of Materials and Manufacturing
• ASME Member