Education

• • Ph.D. in Biomedical Engineering, University of Minnesota - Twin Cities, Minneapolis, Minnesota, USA (2021)

Dissertation title: "A High-Precision Bioelectric Neural Interface Toward Human-Machine Symbiosis" [UMN][Dropbox]. Advisor: Prof. Zhi Yang.

University of Minnesota's Best Dissertation Award in Physical Sciences and Engineering, 2021. [News]

• • B.Eng. in Electrical Engineering National University of Singapore, Singapore (2014)

Dissertation title: "An Ultra Low Power 14-bit SAR ADC with Digital Calibration for Sub-Scalp EEG Recording" [Dropbox]. Advisor: Prof. Zhi Yang.

NUS Outstanding Undergraduate Researcher Prize, 2014.

• • Exchange Student, KTH Royal Institute of Technology (Kungliga Tekniska högskolan), Stockholm, Sweden (2012)

Research Interests

• • Human-machine symbiosis

  • Fully-integrated bioelectronics

  • Neural recording and stimulation

  • Closed-loop neuromodulation

  • Neuroprosthetics

  • Mixed-signal integrated circuits

Patents

• 1. Yang, Z., Nguyen, A. T., Luu, D. K., & Xu, J. (2022). System and Method for A Super-Resolution Digital-to-Analog Converter Based on Redundant Sensing. U.S. Patent No. 11,424,755 B2. [Google Patents]

  2. Yang, Z., Nguyen, A. T., & Xu, J. (2020). System and Method for Charge-Balancing Neurostimulator with Neural Recording. U.S. Patent No. 10,716,941 B2. [Google Patents]

  3. Yang, Z., Xu, J., Nguyen, A. T., & Wu, T. (2018). System and Method for Simultaneous Stimulation and Recording Using System-on-Chip (SoC) Architecture. U.S. Patent Application No. 15/876,030. [Google Patents]

Publications

Google Scholar

(* Co-first authors)

• 1. Luu*, D. K., Nguyen*, A. T., Jiang, M., Drealan, M. W., Xu, J., Wu, T., Tam, W.-k, Zhao, W., Overstreet, C. K., Zhao, Q., Cheng, J., Keefer, E. W., & Yang, Z. (2022). Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface. IEEE Transactions on Biomedical Engineering, 69(10), 3051-3063. [IEEE][Dropbox]

  2. Nguyen, A. T., Xu, J., Luu, D. K., Wu, T., & Yang, Z. (2021). Advances in High-Resolution, Miniaturized Bioelectrical Neural Interface Design. In Thakor, N. V. (Ed.), Handbook of Neuroengineering. Springer, Singapore. [Springer][Dropbox]

  3. Nguyen*, A. T., Drealan*, M. W., Luu, D. K., Jiang, M., Xu, J., Cheng, J., Zhao, Q., Keefer, E. W., & Yang, Z. (2021). A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control. Journal of Neural Engineering, 18, 056051. [IOP][arXiv][Dropbox]

  4. Nguyen, A. T. (2021). A High-Precision Bioelectric Neural Interface Toward Human-Machine Symbiosis (Doctoral dissertation). University of Minnesota. [UMN][Dropbox]

  5. Luu*, D. K., Nguyen*, A. T., Jiang, M., Xu, J., Drealan, M. W., Cheng, J., Keefer, E. W., Yang, Z., & Zhao, Q. (2021). Deep Learning-Based Approaches for Decoding Motor Intent from Peripheral Nerve Signals. Frontiers in Neuroscience, 15, 667907. [Frontiers][bioRxiv]

  6. Nguyen, A. T., Xu, J., Luu, D. K., Overstreet, C. K., Cheng, J., Keefer, E. W., & Yang, Z. (2021). Redundant Crossfire: A Technique to Achieve Super-Resolution in Neurostimulator Design by Exploiting Transistor Mismatch. IEEE Journal of Solid-State Circuits, 56(8), 2452-2465. [IEEE][Dropbox]

  7. Nguyen*, A. T., Xu*, J., Jiang, M., Luu, D. K., Wu, T., Tam, W.-k, Drealan, M. W., Overstreet, C. K., Zhao, Q., Cheng, J., Keefer, E. W., & Yang, Z. (2020). A Bioelectric Neural Interface Towards Intuitive Prosthetic Control for Amputees. Journal of Neural Engineering, 17(6), 066001. [IOP][bioRxiv][Dropbox]

  8. Xu, J., Nguyen, A. T., Wu, T., Zhao, W., Luu, D. K., & Yang, Z. (2020). A Wide Dynamic Range Neural Data Acquisition System with High-Precision Delta-Sigma ADC and On-Chip EC-PC Spike Processor. IEEE Transactions on Biomedical Circuits and Systems, 14(3), 425-440. [IEEE][Dropbox]

  9. Xu, J., Nguyen, A. T., Luu, D. K., Drealan, M. W., & Yang, Z. (2020). Noise Optimization Techniques for Switched-Capacitor Based Neural Interfaces. IEEE Transactions on Biomedical Circuits and Systems, 15(5), 1024-1035. [IEEE][Dropbox]

  10. Xu, J., Nguyen, A. T., & Yang, Z. (2019). Advances in Neural Recording and Stimulation Devices. In Iaizzo, P. A. (Ed.), Engineering in Medicine: Advances and Challenges (pp. 335-363). Academic Press. [ScienceDirect][Dropbox]

  11. Luu*, D. K., Nguyen*, A. T., & Yang, Z. (2019). Achieving Super-Resolution with Redundant Sensing. IEEE Transactions on Biomedical Engineering. 66(8), 2200-2209. [IEEE][arXiv][Dropbox]

  12. Nguyen, A. T., Xu, J., Luu, D. K., Zhao, Q., & Yang, Z. (2019). Advancing System Performance with Redundancy: From Biological to Artificial Designs. Neural Computation, 31(3), 555-573. [Cover page][MITPress][arXiv][Dropbox]

  13. Xu, J., Guo, H., Nguyen, A. T., Lim, H., & Yang, Z. (2018). A Bidirectional Neuromodulation Technology for Nerve Recording and Stimulation. Micromachines, 9(11), 538. [MDPI]

  14. Xu, J., Nguyen, A. T., Zhao, W., Guo, H., Wu, T., Lim, H., & Yang, Z. (2018). A Low-Noise, Wireless, Frequency-Shaping Neural Recorder. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 8(2), 187-200. [IEEE][Dropbox]

  15. Nguyen, A. T., Xu, J., & Yang, Z. (2016). A Bio-inspired Redundant Sensing Architecture. Advances in Neural Information Processing Systems (NIPS), Barcelona, 2379–2387. [NIPS][arXiv]

  16. Nguyen, A. T., Xu, J., Tam, W.-k, Zhao, W., Wu, T., & Yang, Z. (2016). A Programmable Fully-Integrated Microstimulator for Neural Implants and Instrumentation. IEEE Biomedical Circuits and Systems Conference (BioCAS), Shanghai, 472–475. [IEEE][Dropbox]

  17. Yang, Z., Xu, J., Nguyen, A. T., Wu, T., Zhao, W., & Tam, W.-k. (2016). Neuronix Enables Continuous, Simultaneous Neural Recording and Electrical Microstimulation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 4451-4454. [IEEE][Dropbox]

  18. Nguyen, A. T., Xu, J., & Yang, Z. (2015). A 14-bit 0.17mm² SAR ADC in 0.13μm CMOS for High Precision Nerve Recording. IEEE Custom Integrated Circuits Conference (CICC) Conference, San Jose, CA, 1-4. [IEEE][Dropbox]

  19. Islam, M. K., Rastegarnia, A., Nguyen, A. T., & Yang, Z. (2014). Artifact Characterization and Removal for In Vivo Neural Recording. Journal of Neuroscience Methods, 226, 110-123. [ScienceDirect][Dropbox]

  20. Islam, M. K., Nguyen, A. T., Zhou, Y., & Yang, Z. (2012). Analysis and Processing of In-Vivo Neural Signal for Artifact Detection and Removal. IEEE International Conference on Biomedical Engineering and Informatics (BMEI), Chongqing, 437-442. [IEEE][Dropbox]

Media Coverage

• [2021-08-11] Jules Anh Tuan Nguyen Explains How AI Lets Amputee Control Prosthetic Hand, Video Games - Ep. 149 (by Noah Kravitz, The AI Podcast/NVIDIA). https://soundcloud.com/theaipodcast/jules-anh-tuan-nguyen-explains-how-ai-lets-amputee-control-prosthetic-hand-video-games-ep-149

• [2021-05-24] First-Hand Experience: Deep Learning Lets Amputee Control Prosthetic Hand, Video Games (by Brian Caulfield, NVIDIA). https://blogs.nvidia.com/blog/2021/05/24/deep-learning-amputee-prosthetic-hand-video-games/

• [2021-04-20] Esta mano artificial se controla con la mente y tiene sentido del tacto (by Jesús Díaz, El Confidencial). https://www.elconfidencial.com/tecnologia/novaceno/2021-04-20/cientificos-crean-la-mano-de-luke-skywalker_3040971/

• [2021-01-16] Zhejiang University graduates completed 15,000 hours of human implantation experiments with brain-computer interfaces, claiming that the advancement speed is far faster than Elon Musk's Neuralink｜Interview. https://zhuanlan.zhihu.com/p/344770359

• [2020-05-30] Cô nàng 'dại trai' đến với khoa học (by D. Kim Thoa, Tuổi Trẻ). https://tuoitre.vn/co-nang-dai-trai-den-voi-khoa-hoc-20200530095937234.htm

Reviewer of International Journals and Conferences

• • IEEE Transactions on Biomedical Engineering (TBME).

  • IEEE Transactions on Biomedical Circuits and Systems (TBioCAS).

  • IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE).

  • IEEE Access.

  • IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI).

  • IEEE Journal of Biomedical and Health Informatics (JBHI).

  • IEEE Transactions on Cybernetics (CYB).

  • BMC Biomedical Engineering (BBME).

  • Hindawi BioMed Research International.

  • Wiley Electronics and Telecommunications Research Institute Journal (ETRI).

  • Wiley International Journal of Circuit Theory and Applications (IJCTA).

Honors & Awards

• • Best Dissertation Award (Ph.D.) in Physical Sciences and Engineering, UMN. 2021.

  • Member of IEEE Eta Kappa Nu, Lambda Omega Chapter (National University of Singapore).

  • Outstanding Undergraduate Researcher Prize, NUS. 2014.

  • Faculty of Engineering's 28th Innovation & Research Award, High Achievement, NUS. 2014.

  • Dean's Lister in 4 Occasions, Top Students (5%) in Faculty of Engineering, NUS. 2010-2014.

  • Intel Cup Embedded System Design Invitational Contest. First Prize, 2012.

  • ASEAN Undergraduate Scholarship. 2010-2014.

  • NUS Awards for Study Abroad Exchange Scholarship. 2012.

  • Singapore Mathematical Olympiad. Silver Award, 2008.

  • Faculty of Eng. Annual Book Prize, The Best Student in EE3407 Analog Electronics. 2013.

  • Lawrence S. Ting Memorial Fund Scholarship. 2009-2010.

  • Nanyang Concept Test in Physics A-Level. High Distinction, 2009. Merit, 2008.

  • Australian National Chemical Quiz. High Distinction, 2008. High Distinction, 2009.

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