Sheng Sang

Sheng Sang is an Assistant Professor in the Department of Engineering Sciences at Bethany Lutheran College. His research lies at the intersection of Mechanical Engineering and Biomedical Engineering, with a strong emphasis on machine learning applications in composite materials and elastic metamaterials.

His research interests include:

• Mechanical & Biomedical Engineering
• Machine Learning on Composites
• Elastic Metamaterials and Composites
• Optimization of Medical Devices
• Finite Element Modeling and Simulation

Dr. Sang's recent publications demonstrate a consistent focus on integrating deep learning techniques with mechanical systems, particularly in predicting composite microstructures, tracking particles in complex systems, and optimizing wave propagation in metamaterials. His work frequently employs 3D CNNs and other neural architectures to solve inverse problems in material science.

Scientific awards and recognition include:

• Dr. Lehtola Fellowship Research Grant ($9,000, PI), 2021–2023
• Graco Engineering Lab Development Grant ($60,000), 2020–2022

He has been actively involved in teaching a wide range of engineering courses such as Fluid Mechanics, Solid Mechanics, Thermodynamics, and Computer-Aided Design. His research is supported by external grants, indicating active supervision and project leadership. Dr. Sang has collaborated with researchers across disciplines, including neuroscience and medical imaging, particularly in studies involving deep brain stimulation and fMRI.

He is affiliated with research teams working on:

• Active elastic metamaterials design
• Machine learning for material characterization
• Optimization of biomedical devices using swarm intelligence
• Development of advanced simulation tools for composite systems