Dr. Changsheng Wu obtained his Bachelor in Engineering Science(First Class Honours) from NUS and PhD in Materials Science and Engineering from Georgia Tech, with his thesis focusing on nanogenerator-based electromechanical systems for energy harvesting and sensing. He carried out postdoctoral research in the Querrey Simpson Institute for Bioelectronics at Northwestern University (US), where he developed wireless wearable biosensors for clinical-grade health monitoring and 3D multi-scale metastructures for soft skin-electronics interface. He has published more than 50 papers and holds 5 patents. His works have won awards including the TechConnect 2018 Innovation Award and the 56th R&D 100 Award.
Research Interests
Dr. Changsheng Wu leads the Lab for Intelligent Sensing, Harvesting and Actuation (LISHA) and his research focuses on developing wireless wearables and intelligent robots for energy, sensing and therapeutic applications, leveraging bioelectronics, materials science, and advanced manufacturing to create solutions for sustainable living and environment.
- Wireless Bioelectronics
- Energy Harvesting
- Advanced Manufacturing
- Programmable Materials
Publications:
- H. Zhao†, X. Cheng†, C. Wu†, T. Liu, S. Li, X. Ni, Y. Zhang*, Y. Huang*, J.A. Rogers*, “Mechanically guided hierarchical assembly of 3D mesostructures.” Advanced Materials, 34 (12), 2109416 (2022)
- A.Y. Rwei†, W. Lu†, C. Wu†, K. Human, E. Suen, D. Franklin, M. Fabiani, G. Gratton, Z. Xie, Y. Deng, S.S. Kwak, L. Li, C. Gu, A. Liu, C.M. Rand, T.M. Stewart, Y. Huang, D.E. Weese-Mayer*, J.A. Rogers*, “A wireless, skin-interfaced biosensor for cerebral hemodynamic monitoring in pediatric care.” Proceedings of the National Academy of Sciences, 117 (50), 31674-31684 (2020)
- C. Wu, A.C. Wang, W. Ding, H. Guo, Z.L. Wang*, “Triboelectric nanogenerator: a foundation of the energy for the new era.” Advanced Energy Materials, 9 (1), 1802906 (2019)
- C. Wu†, W. Ding†, R. Liu†, J. Wang, A.C. Wang, J. Wang, S. Li, Y. Zi, Z.L. Wang*, “Keystroke dynamics enabled authentication and identification using triboelectric nanogenerator array.” Materials Today, 21 (3), 216-222 (2018)
- J. Wang†, C. Wu†, Y. Dai†, Z. Zhao, A. Wang, T. Zhang, Z.L. Wang*, “Achieving ultrahigh triboelectric charge density for efficient energy harvesting.” Nature Communications, 8, 88 (2017)
Teaching
- MLE5220, Finite Element Method in Materials: Basic Concepts and Problem Solving
- MLE5238, Bioelectronics