Dr. Changsheng Wu is a Presidential Young Professor in the Department of Materials Science and Engineering and an Assistant Professor by Courtesy in Electrical and Computer Engineering at the National University of Singapore (NUS). He is also a Principal Investigator at the Institute for Health Innovation and Technology (iHealthtech) and the N.1 Institute for Health, NUS. He received his Ph.D. in Materials Science and Engineering from the Georgia Institute of Technology and completed his postdoctoral training at Northwestern University. His research advances adaptive physical intelligence at the human-machine interface through the development of intelligent bioelectronic devices and robotic systems. By co-designing materials, interfaces, sensing modalities, and intelligent algorithms, his work enables technologies that adapt to human needs and dynamic environments for applications spanning digital health, human-robot interaction, and embodied intelligence. Dr. Wu’s research work has been published in leading journals including Nature Biomedical Engineering, Nature Sensors, Science Advances, PNAS, and Advanced Materials. He has been recognized by international awards including the Advanced Materials Rising Star, the MRS Communications Early Career Distinguished Presenter, the Asia Pacific Biomedical Engineering Consortium (APBEC) Young Scholar, the Nanogenerator and Piezotronics Society (NPS) Young Investigator and the TechConnect Innovation Award.
Research Interests
- Physical Intelligence
- Human-Machine Interface
- Wearables
- Robotics
Publications:
- X. Su, X. Wu, H. Wang, W. Lu, B. Xue, J. Tang, Z. Li, K. Ren, Q. He, J. Li, L. Yin, Y. Liu, S. Zhang, T. Lei, C. Wu*, “Photo-rewritable ambipolar organic electrochemical synapses with bidirectional optical plasticity for adaptive vision in aqueous environments.” Advanced Materials 38 (24), e16989 (2026)
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G. Yang, B. Pang, H. Gong, Y. Qiu, C. Gong, S. Zhou, Q. Zheng, Z. Wang, T. Bu, S. Xu, X. Luo, H. Qiao, Z. Yin*, C. Wu*, H. Wu*, “A soft electrode array with reconfigurable hydrogel interfaces for high-fidelity neurophysiological monitoring during craniotomy.” Proceedings of the National Academy of Sciences 123 (11), e2533145123 (2026)
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S. Li, T. Wu, J. Xu, Y. Huang, Z. Zhang, H. Zhao, Q. Xu, Z. Wang, L. Ye, Y. Yang, C. Lyu, S. Mu, X. Wang, Z. Xie*, C. Wu*, X. Yu*, W. Ding*, “Biomimetic multimodal tactile sensing enables human-like robotic perception.” Nature Sensors 1 (1), 52-62 (2026)
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Xi. Li, X. Xiao, X. Xiao†, Z. Liu, J. Gong, Z. Lin, B. Xue, S. Liu, X. Wu, W. Zhang, D. Wang, R. Zhao, Z. Wang, X. Zhong, Y. Lin, P. Chia, X. He, J.S. Ho, G.W. Ho, W. Ouyang, W. Ding*, G. Zhou*, C. Laschi, C. Wu*, “Magnetic field–enhanced vertical integration enables embodied intelligence in untethered soft robots”, Science Advances, 11, eady0534 (2025)
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C. Li, H. Wang, Z. Song, W. Zhang, Y. Pan, Z. Zhao, C. Qiu, K. Yin, M. Han, A.B. Wang, H. Luan, J. Li, W. Yan, S. Chen, H. Shen, T.-L. Liu, S. Lee, W. Ding, Y. Huang, J.A. Rogers*, C. Wu*, X. Ni*, “Wireless, wearable elastography via mechano-acoustic wave sensing for ambulatory monitoring of tissue stiffness.” Science Advances, 11, eady0534 (2025)
Teaching
- MLE5220, Finite Element Method in Materials: Basic Concepts and Problem Solving
- MLE5238, Bioelectronics