Sheng Sang

Research interests are primarily in the area of Mechanical & Biomedical Engineering. Current interests include:

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

Postdoctoral Fellow: University of Minnesota, Twin Cities, MN, July 2020
Ph.D.: Mechanical Engineering, University of Arkansas, Little Rock, AR, May 2018
M.E.: Mechanical Engineering, Jiangsu University, Zhenjiang, China, May 2014
B.E.: Mechanical Engineering, Central South University, Changsha, China, May 2011

Dr. Lehtola fellowship research grant (9,000$,PI), 2021-2023, Bethany Lutheran College
Graco engineering lab development grant (60,000$), 2020-2022, Bethany Lutheran College

1. Gu, A., & Sang, S.* (2024). Predicting composite microstructure from deformation data
   using deep learning. AIP Advances, 14(7).
2. Xu, X., Wei, J., & Sang, S.* (2024). Enhancing composite laminate structures with tailored
   neural networks. MRS Communications, 1-5.
3. Xu, X., Wei, J., & Sang, S.* (2024). Deep learning-based multiple particles tracking in
   complex system. AIP Advances, 14(1).
4. Xu, X., Wei, J., & Sang, S.* (2023). Prediction of elastic wave propagation in composites
   using 3D CNN. AIP Advances, 13(11).
5. Zhang, X., Wang, Z., Xu, C., Side, C., & Sang, S. *(2024). Architecture Prediction of 3D
   Composites Using Machine Learning and No‐Destructive Technique. Advanced Theory and
   Simulations, 7(2), 2300430.
6. Sang, S.*, Xu, C., Wang, Z., Side, C., Fowler, B., Fan, J., & Miao, D. (2023). Accurate
   prediction of topology of composite plates via machine learning and propagation of elastic
   waves. Composites Communications, 37, 101465.
7. Sang, S.*, Xu, C., Fan, J., Miao, D., Side, C., Wang, Z., Accurate Prediction of
   Microstructure of Composites using Machine Learning. Adv. Theory Simul. 2023, 6,
   2200674.
8. Sang, S.,* Wang, Z., & Fan, J. (2023). Particle swarm optimization for curved beams in
   multistable structures. Journal of Mechanics of Materials and Structures, 17(5), 441-453.
9. Wu, L., Canna, A., Narvaez, O., Ma, J., Sang, S., Lehto, L. J., … & Michaeli, S. (2022).
   Orientation selective DBS of entorhinal cortex and medial septal nucleus modulates activity
   of rat brain areas involved in memory and cognition. Scientific Reports, 12(1), 1-14.
10. Canna, A., Lehto, L. J., Wu, L., Sang, S., Laakso, H., Ma, J., … & Mangia, S. (2021). Brain
    fMRI during orientation selective epidural spinal cord stimulation. Scientific reports, 11(1),
    1-12.
11. Sang, S., Mhannawee, A., & Wang, Z. (2019). A design of active elastic metamaterials with
    negative mass density and tunable bulk modulus. Acta Mechanica, 230(3), 1003-1008.
12. Sang, S., & Sandgren, E. (2019). Study of in-plane wave propagation in 2-dimensional
    anisotropic elastic metamaterials. Journal of Vibration Engineering & Technologies, 7(1),
    63-72.
13. Sang, S., & Wang, Z. (2018). A design of elastic metamaterials with multi-negative pass
    bands. Acta Mechanica, 229(6), 2647-2655.
14. Sang, S., Sandgren, E., & Wang, Z. (2018). Wave attenuation and negative refraction of
    elastic waves in a single-phase elastic metamaterial. Acta Mechanica, 229(6), 2561-2569.
15. Sang, S., Sandgren, (2018). E. Study of Two-Dimensional Acoustic Metamaterial Based on
    Lattice System. Journal of Vibration Engineering & Technologies. 6, 513–521

1. Sang, S., & Xu, C. (2023). Generative optimization of sound insulation of composites using
   deep learning networks. The Journal of the Acoustical Society of
   America, 153(3_supplement), A120-A120.
2. Mumme, Z., Fan, J., & Sang, S. (2021). Study of three-dimensional elastic metamaterials
   based on a lattice system. The Journal of the Acoustical Society of America, 150(4), A109-
   A109.
3. Roemhildt, J. J., Fan, J., Wang, Z., & Sang, S. (2021). Particle swarm optimization of the
   manipulation of acoustic waves through nonhomogeneous, anisotropic mediums for
   application in shock wave lithotripsy. The Journal of the Acoustical Society of
   America, 150(4), A331-A331.
4. Zhurakovskaya, E., Lehto, L. J., Paasonen, J., Wu, L., Sang, S., Ma, J., … & Michaeli, S.
   (2020). Novel resampling approach for 200-ms temporal resolution MB-SWIFT
   fMRI–application to DBS in rats.
5. Sang, S., Sandgren, E., & Wang, Z. (2017, December). A new approach to generate local
   resonator for the application of acoustic metamaterials. In IOP Conference Series: Materials
   Science and Engineering (Vol. 272, No. 1, p. 012027). IOP Publishing.

1. Fluid Mechanics
2. Solid Mechanics
3. Thermodynamics
4. Materials Science and Engineering
5. Computer-Aided Design and Computer-Aided Engineering (AutoCAD)
6. Engineering Science Internship
7. Statics and Dynamics
8. General Physics and Lab
9. Electric Circuits
10. Topics: MATLAB
11. Introduction to Engineering
12. General Physics