Research Groups Collaborating Core Facilities

Ting Wu

Assistant Investigator
Ph.D.
Multi-modality neural interface, Brain-computer interface, Biosensor, Integrated circuit design, Nanoelectronics
wuting(at)cibr.ac.cn
Education Experience

2019 Ph.D. in Electrical Engineering, New York University

2010 M.S. in Microelectronics, Xi’an Jiaotong University

2007 B.S. in Information Engineering, Xi’an Jiaotong University

Professional Experience

2025.8 - present   Assistant Investigator, Chinese Institute for Brain Research, Beijing

2021.9 - 2025.8   Research fellow, Chinese Institute for Brain Research, Beijing

2019 - 2021   Postdoctoral Associate in Center for Neural Science, New York University

2010 - 2013   RF/Analog circuit designer, Institute of Microelectronics of Chinese Academy of Sciences, Beijing, China

Research Description

Our lab is focused on exploiting the advances in nanotechnology to build the interface between nanoelectronics and biological systems. We develop sensing and sampling techniques for combined measurements of neural spikes and release of neuromodulators from neuron ensemble in awake and behaving animals, especially for primates (monkey and human) where alternative techniques cannot be easily deployed. We are also interested in investigating the biocompatibility and biostability of long-term implants in brain-computer interface applications.


Honors, Awards and Adjunct, Research Positions


Publications

Selected publications:

Journal:

1. Cuniberto E, You KD, Alharbi A, Huang Z, Wu T, Kiani R, Shahrjerdi D. (2021) Anomalous sensitivity enhancement of nano-graphitic electrochemical micro-sensors with reducing the operating voltage. Biosensors and Bioelectronics. 177: 112966. DOI: 10.1016/j.bios.2021.112966

2. Cuniberto E*, Alharbi A*, Wu T, Huang Z, Sardashti K, You KD, Kisslinger K, Taniguchi T, Watanabe K, Kiani R, Shahrjerdi D. (2020) Nano-engineering the material structure of preferentially oriented nano-graphitic carbon for making high-performance electrochemical micro-sensors. Scientific Reports. 10: 9444. DOI: 10.1038/s41598-020-66408-9

3. Wu T*, Alharbi A*, Kiani R, Shahrjerdi D. (2019) Quantitative principles for precise engineering of sensitivity in graphene electrochemical sensors. Advanced Materials. 31(6): e1805752. DOI: 10.1002/adma.201970037 (Cover article)

4. Wu T, Abdullah A, Takashi T, Watanabe K, Shahrjerdi D. (2018) Low-frequency noise in irradiated graphene FETs. Applied Physics Letters. 113(19): 193502. DOI: 10.1063/1.5051658 (Editor’s pick)

5. Wu T, Alharbi A, You KD, Kisslinger K, Stach EA, Shahrjerdi D. (2017) Experimental study of the detection limit in dual-gate biosensors using ultrathin silicon transistors. ACS Nano. 11(7): 7142-7147. DOI: 10.1021/acsnano.7b02986

6. Nasri B*, Wu T*, Alharbi A, You KD, Gupta M, Sebastian SP, Kiani R, Shahrjerdi D. (2017) Hybrid CMOS-graphene sensor array for subsecond dopamine detection. IEEE Transactions on Biomedical Circuits and Systems. 11(6): 1192-1203. DOI: 10.1109/TBCAS.2017.2778048 (Invited contribution to the special issue on ISSCC)


Conference:

1. Wu T, Alharbi A, Taniguchi T, Watanabe K, Shahrjerdi D. (2018) Effects of single vacancy defects on 1/f noise in graphene/h-BN FETs. IEEE Device Research Conference (DRC). DOI: 10.1109/DRC.2018.8442196

2. Nasri B, Wu T, Alharbi A, Gupta M, RanjitKumar R, Sebastian S, Wang Y, Kiani R, Shahrjerdi D. (2017) Heterogeneous integrated CMOS-graphene sensor array for dopamine detection. IEEE International Solid-State Circuits Conference (ISSCC). DOI: 10.1109/ISSCC.2017.7870364

3. Wu T, Nasri B, Alharbi A, Kiani R, Shahrjerdi D. (2017) A hybrid CMOS-graphene integrated sensing platform for subsecond dopamine detection. 232nd ECS Meeting. (Invited abstract, honoring Dr. Mark Wightman in Behavioral Neuroelectrochemistry)

4. Wu T, Afzali A, You KD, Kisslinger K, Stach E, Shahrjerdi D. (2017) Glucose sensing using dual-gated BioFETs with 5nm-thick silicon body. IEEE Device Research Conference (DRC). DOI: 10.1109/DRC.2017.7999421

5. Wu T, Nasri B, Alharbi A, Bang S, Patel A, Liu B, Kiani R, Shahrjerdi D. (2016) An integrated multi-electrode carbon microfiber sensor platform for subsecond dopamine detection. Material Research Society (MRS) Fall meeting.

6. Wu T, Rappaport TS, Collins CM. (2015) The human body and millimeter-wave wireless communication systems: interactions and implications. IEEE International Conference on Communications (ICC). DOI: 10.1109/ICC.2015.7248688 (IEEE ICC 2015 Best Paper)