Hyochan An

A 40-nm Ultra-Low Leakage Voltage-Stacked SRAM for Intelligent IoT Sensors

D. Blaauw, D. Sylvester, Hun-Seok Kim, 2021, IEEE Solid-State Circuits Letters.

A low-power communication scheme for wireless, 1000 channel brain–machine interfaces

Parag G. Patil, Matthew J. Mender, Matthew S. Willsey, 2022, bioRxiv.

Millimeter-Scale Ultra-Low-Power Imaging System for Intelligent Edge Monitoring

D. Blaauw, D. Sylvester, Hun-Seok Kim, 2022, 2203.04496.

An Ultra-Low-Power Image Signal Processor for Hierarchical Image Recognition With Deep Neural Networks

David Blaauw, Dennis Sylvester, Ziyun Li, 2021, IEEE Journal of Solid-State Circuits.

A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces

David Blaauw, Hun-Seok Kim, Krishna V. Shenoy, 2020, Nature Biomedical Engineering.

A Power-Efficient Brain-Machine Interface System With a Sub-mw Feature Extraction and Decoding ASIC Demonstrated in Nonhuman Primates

Matthew S. Willsey, P. Patil, D. Blaauw, 2022, IEEE Transactions on Biomedical Circuits and Systems.

29.3 An 8.09TOPS/W Neural Engine Leveraging Bit-Sparsified Sign-Magnitude Multiplications and Dual Adder Trees

D. Blaauw, D. Sylvester, Yu Chen, 2023, IEEE International Solid-State Circuits Conference.

14.1-ENOB 184.9dB-FoM Capacitor-Array-Assisted Cascaded Charge-Injection SAR ADC

David Blaauw, Dennis Sylvester, Hyochan An, 2021, 2021 IEEE International Solid- State Circuits Conference (ISSCC).

SONA: An Accelerator for Transform-Domain Neural Networks with Sparse-Orthogonal Weights

D. Blaauw, D. Sylvester, Yu Chen, 2023, 2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP).