Yu-Chong Tai
Anna L. Rosen Professor of Electrical Engineering and Medical Engineering
Research interests: medical devices, MEMS, Bio-MEMS, micromachining, lab-on-a-chip, microfluidics, drug delivery, micro implants, circulating tumor cell, parylene, bio-med
Overview
Professor Tai's research uses Semiconductor/MEMS/NEMS technologies for medical applications. He has built the Caltech MEMS Laboratory (http://mems.caltech.edu), an 8,000-square-foot facility completely dedicated to medical devices. This facility has a clean-room lab (~3,000 sq. ft), CAD lab, a measurement/test/metrology lab, and a biological lab. It supports researchers (graduate students, postdoctoral scholars, visiting scholars and industrial members) to develop innovative MEMS/NEMS and medical devices. Examples of past devices include micromotors, microphones, neural chips, micro relays, micro power generators, micro valves, micro pumps, etc. Over the past 20 years, Prof. Tai has launched a major research effort into medical devices. Project examples include HPLC-on-a-chip, blood-labs-on-a-chip, wireless micro drug delivery, etc. Moreover, Tai's group has had a major program for miniature or micro implants. To this end, Prof. Tai collaborates with many medical doctors and biologist (such as from UCSF, USC, UCLA, and industries) to develop integrated implants for cortical, retinal and spinal applications. Micro implant devices included spinal neural stimulators, ECG implants, retinal prosthetic devices, intraocular lenses, implantable wireless pressure sensors, micro pacemakers, etc. Tai's group is always looking for students, postdocs and researchers who love technology and enjoy building devices.
Related News
Read more newsPublications
- Shang, Kuang-Ming;Kato, Hiroyuki et al. (2024) A novel approach to determine the critical survival threshold of cellular oxygen within spheroids via integrating live/dead cell imaging with oxygen modelingAmerican Journal of Physiology-Cell Physiology
- Chen, Justin;Wang, Shaolei et al. (2024) Machine learning‐directed electrical impedance tomography to predict metabolically vulnerable plaquesBioengineering & Translational Medicine
- Lu, Chen-Hsuan;Shang, Kuang-Ming et al. (2023) Low-Temperature Direct Growth of Nanocrystalline Multilayer Graphene on Silver with Long-Term Surface PassivationACS Applied Materials & Interfaces
- Myrick, Ryan J.;Shang, Kuang-Ming et al. (2023) Micropyramid-patterned, oxygen-permeable bottomed dish for high density culture of pancreatic isletsBiofabrication
- Shang, Kuang-Ming;Shen, Haixu et al. (2023) Micron-Sized Parylene-In-Oil Water Protection Layer
- Lu, Chen-Hsuan;Shang, Kuang-Ming et al. (2022) Graphene on Nanoscale-Thick Au Films: Implications for Anticorrosion in Smart Wearable ElectronicsACS Applied Nano Materials
- Abiri, Parinaz;Luo, Yuan et al. (2022) 3-Dimensional electrical impedance spectroscopy for in situ endoluminal mapping of metabolically active plaquesSensors and Actuators B: Chemical
- Luo, Yuan;Huang, Dong et al. (2022) An Ex Vivo Study of Outward Electrical Impedance Tomography (OEIT) for Intravascular ImagingIEEE Transactions on Biomedical Engineering
- Shahrestani, Shane;Chou, Tzu-Chieh et al. (2021) A wearable eddy current based pulmonary function sensor for continuous non-contact point-of-care monitoring during the COVID-19 pandemicScientific Reports
- Chang, Chih-Chiang;Huang, Zi-Yu et al. (2021) Electrical impedance tomography for non-invasive identification of fatty liver infiltrate in overweight individualsScientific Reports