Office: 312 Church St. SE, 6-105B, Minneapolis, MN 55455
Email: nguy2833@umn.edu | nguyenanhtuan.nat@gmail.com
Curriculum Vitae | NeuroElectronics Lab (Yang's Lab) | Fasikl Incorporated
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)
Human-machine symbiosis
Fully-integrated bioelectronics
Neural recording and stimulation
Closed-loop neuromodulation
Neuroprosthetics
Mixed-signal integrated circuits
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]
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]
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]
(* Co-first authors)
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]
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]
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]
Nguyen, A. T. (2021). A High-Precision Bioelectric Neural Interface Toward Human-Machine Symbiosis (Doctoral dissertation). University of Minnesota. [UMN][Dropbox]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
Visit NeuroElectronics Lab (Yang's Lab) for more information
Part of DARPA's Hand Proprioception and Touch Interfaces (HAPTIX) program.
A technology platform combining fully-integrated bioelectronics, implantable intrafascicular microelectrodes and deep learning-based artificial intelligence (AI) to facilitate dexterous, intuitive and real-time control of a prosthetic hand.
Underlying a new class of bioelectric neural interface that is capable of establishing an efficient information conduit between human minds and machines through the peripheral neural pathways, the basis for the future human-machine symbiosis.
More papers on the way...
Achieving simultaneous neural recording and stimulation for bidirectional closed-loop neuromodulation from the same neuron or neuronal population.
High-precision neurostimulator design utilizing new techniques called Redundant Crossfire (RXF) and super-resolution current digital-to-analog converter (SR-IDAC) derived from the Redundant Sensing architecture.
Fully-integrated neurostimulators and neural recorders on the same silicon chip, suitable for implantable devices.
A new bio-inspired theory for utilizing redundancy to enhance system's accuracy and precision, instead of fault-tolerance like conventionally thought.
Applied to achieve super-resolution precision in analog-to-digital (ADC) and digital-to-analog (DAC) converters. Huge potential application in biomedical devices including neural recorders and neurostimulators.
Applied to understand fundamental mechanisms underlying biological processes including binocular vision and muscle redundancy.
And this (?): Maritime Target Automatic Target Recognition from Inverse Synthetic Aperture Radar (ISAR)
[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
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).
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.
Coming soon...
A High-Precision Bioelectric Neural Interface Toward Human-Machine Symbiosis (2021)
Redundant Crossfire: A Technique to Achieve Super-Resolution in Neurostimulator Design by Exploiting Transistor Mismatch (2021)
Advances in High-Resolution, Miniaturized Bioelectrical Neural Interface Design (2021)
System and Method for A Super-Resolution Digital-to-Analog Converter Based on Redundant Sensing (2020)
A High-Precision Bioelectric Neural Interface Toward Human-Machine Symbiosis (2021)
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control (2021)
Deep Learning-Based Approaches for Decoding Motor Intent from Peripheral Nerve Signals (2021)
A Bioelectric Neural Interface Towards Intuitive Prosthetic Control for Amputees (2020)
A High-Precision Bioelectric Neural Interface Toward Human-Machine Symbiosis (2021)
Advances in High-Resolution, Miniaturized Bioelectrical Neural Interface Design (2021)
System and Method for Charge-Balancing Neurostimulator With Neural Recording (2020)
Advances in Neural Recording and Stimulation Devices. Book chapter in Engineering in Medicine: Advances and Challenges (2019)
System and Method for Simultaneous Stimulation and Recording Using System-on-Chip (SoC) Architecture (2018)
A Bidirectional Neuromodulation Technology for Nerve Recording and Stimulation (2018)
A Programmable Fully-Integrated Microstimulator for Neural Implants and Instrumentation (2016)
A High-Precision Bioelectric Neural Interface Toward Human-Machine Symbiosis (2021)
Advances in High-Resolution, Miniaturized Bioelectrical Neural Interface Design (2021)
Noise Optimization Techniques for Switched-Capacitor Based Neural Interfaces (2020)
System and Method for Simultaneous Stimulation and Recording Using System-on-Chip (SoC) Architecture (2018)
Neuronix Enables Continuous, Simultaneous Neural Recording and Electrical Microstimulation (2016)
A High-Precision Bioelectric Neural Interface Toward Human-Machine Symbiosis (2021)
Advances in High-Resolution, Miniaturized Bioelectrical Neural Interface Design (2021)
A Bio-inspired Redundant Sensing Architecture (2016)
A 14-bit 0.17mm² SAR ADC in 0.13μm CMOS for High Precision Nerve Recording (2015)