Guest Seminar - Engineering Adaptive Bioelectronics for Living Systems
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
Bioelectronic technologies offer opportunities to investigate physiological processes across tissues and organisms. Their performance depends on how effectively materials and device architectures accommodate biological environments, manage fluid and ion transport, and maintain function under mechanical deformation. This seminar will present examples of engineering these interactions through responsive materials, mechanics-guided design, and coupled transport processes.
I will discuss responsive hydrogel neural interfaces that enable stable cortical coupling and benign detachment for multimodal intraoperative monitoring, alongside programmable three-dimensional biointerfaces that support engineered cardiac tissue assembly and volumetric electrophysiological recording. Extending to plant physiology, I will introduce PlantIonics, a wearable microfluidic electrochemical platform that uses bioinspired fluid collection to enable multiplexed monitoring of guttation biomarkers and the leaf microenvironment. Finally, I will present magneto-mechano-electrochemical fibers that couple deformation-responsive magnetic fields with ion transport to stabilize energy storage and support multifunctional electronic textiles. These examples illustrate how control of interfacial contact, structural mechanics, and transport can advance reliable bioelectronics for biological investigation and wearable applications.
Changsheng Wu is a Presidential Young Professor in the Department of Materials Science and Engineering and an Assistant Professor in the Department of 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. His research integrates smart materials, bioelectronics, and robotics to advance adaptive physical intelligence for human-machine interaction, with applications in digital health, intelligent rehabilitation, and embodied intelligence. He has published as a corresponding author in Nature Biomedical Engineering, Nature Sensors, Nature Communications, Science Advances, PNAS, and Advanced Materials. His honors include MIT Technology Review’s Innovators Under 35 (TR35) Asia Pacific, Advanced Materials Rising Star, MRS Communications Early Career Distinguished Presenter, APBEC Young Investigator, and TechConnect Innovation Award.