Tao TANG
Ph.D., Principal Investigator
Email: tangtao@@gdiist.cn
Personal Profile：
Dr Tang is a Principal Investigator of the Lab of Brain-Computer ASICs and System. He graduated with a bachelor’s degree from Wuhan University in 2012 and obtained a Ph.D. in Circuit and System from Nanyang Technological University in 2018. He then joined the National University of Singapore as a postdoctoral researcher. From 2021 to 2024, he served as a Principal Investigator at Zhejiang Lab. Dr. Tang is a registered expert of the ISO/IEC SC43 Brain-Computer Interface working group, a member of the Brain-Machine Interface Subcommittee of the National Technical Committee on Standardization, a Technical Committee Member (TPC) of the IEEE ICTA conference, and an invited reviewer for IEEE top journals such as JSSC and TBioCAS. He is also an adjunct Associate Professor at the School of Biomedical Engineering and Instrumentation at Zhejiang University. In January 2025, he joined the Guangdong Institute of Intelligence Science and Technology as a Principal Investigator. Dr. Tang has led and participated in multiple national and provincial research projects and has published over 30 academic papers and been granted more than 30 patents.
Lab of Brain-Computer ASICs and System:
This lab focuses on intelligent brain signal acquisition chips and systems applied in brain-computer interaction. It is committed to developing high-performance, customized brain-computer smart chips, miniaturized devices, advanced chip packaging, and system integration technologies. The goal is to integrate brain signal acquisition devices with high-performance acquisition chips to create flexible, biocompatible, minimally invasive implantable systems that promote brain-computer synergy.
The lab is recruiting postdoctoral researchers, engineers, joint Ph.D. candidates, and research interns in the areas of integrated circuit design, brain-computer intelligent devices, and system development. Interested candidates are welcome to contact via email.
Representative Publications：
1. W. Ling*, X. Shang, J. Liu and T Tang*. (2025) A skin-mountable flexible biosensor based on Cu MOF/PEDOT composites for sweat ascorbic acid monitoring. Biosensors and Bioelectronics, 267: 116852. (Co-corresponding authors)
2. W. Ling, X. Shang, C. Yu, C. Li, K. Xu, L. Feng, Y. Wei, T. Tang* and X. Huang*. (2024) Miniaturized implantable fluorescence probes integrated with metal-organic frameworks for deep brain dopamine sensing. ACS Nano, 18(15): 10596-10608. (Co-corresponding authors)
3. T. Tang, Z. Zheng, C. Wang and T. Jiang. (2024) A non-contact TMR-based active electrode for BCG recording. IEEE Asian Solid-State Circuit Conference (A-SSCC), pp. 1-2.
4. T. Tang, J. H. Park, L. Zhang, K. A. Ng and J. Yoo. (2022) Group chopping: An 8-channel, 0.04% gain mismatch, 2.1µW 0.017mm2 instrumentation amplifier for bio-potential recording. IEEE Trans. Biomed. Circ. and Systems (TBioCAS), 16(3): 361-371.
5. T. Tang, L. Yan, J. H. Park, H. Wu, L. Zhang, H. Lee and J. Yoo. (2020) EEG dust: A BCC-based wireless concurrent recording/transmission concentric electrode. IEEE International Solid-State Circuit Conference (ISSCC), pp. 516-518.
6. J. H. Park, T. Tang, L. Zhang, K. A. Ng, and J. Yoo. (2020) A 15 channel orthogonal code chopping instrumentation amplifier for area-efficient, low mismatch bio-signal acquisition. IEEE Journal of Solid-State Circuits (JSSC), 55(10): 2771-2780.
7. T. Tang, L. Yan, J. H. Park, H. Wu, L. Zhang, H. Lee and J. Yoo. (2020) An active concentric electrode for concurrent EEG recording and body-coupled communication (BCC) data transmission. IEEE Trans. Biomed. Circ. and Systems (TBioCAS), 14(6): 1253-1262.
8. T. Tang, W. L. Goh, L. Yao, C. J. Hao and Y. Gao. (2020) An integrated multi-channel biopotential recording analog front-end IC with area-efficient driven-right-leg circuit. IEEE Trans. Biomed. Circ. and Systems (TBioCAS), 14(2): 297-304.
9. T. Tang, W. L. Goh, L. Yao and Y. Gao. (2020) A TDM-based 16-channel AFE ASIC with enhanced system-level CMRR for wearable EEG recording with dry electrodes. IEEE Trans. Biomed. Circ. and Systems (TBioCAS), 14(3): 516-524.
10. T. Tang, J. H. Park, L. Zhang, K. A. Ng and J. Yoo. (2019) An 8-channel 2.1μW 0.017mm2 0.04% gain mismatch bio-potential recording AFE using group-chopping technique. IEEE Custom Integrated Circuits Conference (CICC), pp. 1-4.
