Dr. Changsheng WU obtained his Bachelor in Engineering Science 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
The rapid pace of population ageing and the global outbreak of pandemics have highlighted the deficiency of medical resources and inefficiency of health systems, thus calling for imminent advancement of biomedical technologies. The Wu group focus on developing wireless wearables and intelligent robots for energy harvesting, biosensing and therapeutic applications, leveraging bioelectronics, materials science, and advanced manufacturing to create continuous, pervasive, and personalized digital health solutions. The research areas we are interested in include:
Bioelectronics
Wireless soft devices for health monitoring or therapy
Advanced signal processing and analysis of bio-signals
Closed-loop sensing & therapeutic systems
Electromechanical Systems
Triboelectric nanogenerator (TENG) & piezoelectric nanogenerator (PENG)
Biomechanical energy harvesters and sensors
Self-powered biosensing systems
3D Multiscale Structures for Soft Tissue-Electronics Interface
Novel metastructures for soft biosensors and energy harvesters
Programmable metamaterials for actuation and sensing
Wirelessly controllable and reconfigurable soft robots
Publications:
1. Hangbo Zhao†, Xu Cheng†, Changsheng Wu†, Tzu-Li Liu, Qinai Zhao, Shuo Li, Xinchen Ni, Shenglian Yao, Mengdi Han, Yonggang Huang*, Yihui Zhang*, John A. Rogers*, “Mechanically guided hierarchical assembly of 3D mesostructures.” Advanced Materials, in press.
2. Alina Y. Rwei†*, Wei Lu†, Changsheng Wu†, Kelia Human, Emily Suen, Daniel Franklin, Monica Fabiani, Gabriele Gratton, Zhaoqian Xie, Yujun Deng, Sung Soo Kwak, Lizhu Li, Carol Gu, Alanna Liu, Casey M Rand, Tracey M Stewart, Yonggang Huang, Debra E Weese-Mayer*, John 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)
3. Xiaoyue Ni, Wei Ouyang, Hyoyoung Jeong, Jin-Tae Kim, Andreas Tzaveils, Ali Mirzazadeh, Changsheng Wu, Jong Yoon Lee, Matthew Keller, Chaithanya K Mummidisetty, Manish Patel, Nicholas Shawen, Joy Huang, Hope Chen, Sowmya Ravi, Jan-Kai Chang, KunHyuck Lee, Yixin Wu, Ferrona Lie, Youn J Kang, Jong Uk Kim, Leonardo P Chamorro, Anthony R Banks, Ankit Bharat, Arun Jayaraman, Shuai Xu*, John A Rogers*, “Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients.” Proceedings of the National Academy of Sciences 118 (19), e2026610118 (2021)
4. Changsheng Wu†, Peng Jiang†, Wei Li, Hengyu Guo, Jie Wang, Jie Chen, Mark R Prausnitz, Zhong Lin Wang*, “Self-powered iontophoretic transdermal drug delivery system driven and regulated by biomechanical motions.” Advanced Functional Materials 30 (3), 1907378 (2020)
5. Changsheng Wu, Aurelia C Wang, Wenbo Ding, Hengyu Guo, Zhong Lin Wang*, “Triboelectric nanogenerator: a foundation of the energy for the new era.” Advanced Energy Materials 9 (1), 1802906 (2019)
6. Changsheng Wu†, Wenbo Ding†, Ruiyuan Liu†, Jiyu Wang, Aurelia C Wang, Jie Wang, Shengming Li, Yunlong Zi, Zhong Lin Wang*, “Keystroke dynamics enabled authentication and identification using triboelectric nanogenerator array.” Materials Today 21 (3), 216-222 (2018)
7. Jie Wang†, Changsheng Wu†, Yejing Dai†, Zhihao Zhao, Aurelia Wang, Tiejun Zhang, Zhong Lin Wang*, “Achieving ultrahigh triboelectric charge density for efficient energy harvesting.” Nature Communications 8, 88 (2017)
8. Kan Wang†*, Changsheng Wu†, Zhen Qian, Chuck Zhang, Ben Wang, Mani A Vannan, “Dual-material 3D printed metamaterials with tunable mechanical properties for patient-specific tissue-mimicking phantoms.” Additive Manufacturing 12, 31-37 (2016)
