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Chanwook Hwang (황찬욱)

Chanwook Hwang (황찬욱)

Combined MS-PhD students

Sungkyunkwan University (SKKU, 성균관대학교)

Electrical and Computer Engineering

My research focuses on On-device AI enabled by Brain-inspired Circuits and Algorithms, with a strong interest in Brain-Computer/Machine Interface (BCI/BMI) systems.

Interests
  • On-device AI (HW/SW Co-Design)
  • Brain-inspired Circuits and Algorithms
  • Neuromorphic Systems
  • Brain-Computer/Machine Interface (BCI/BMI)
Education
  • B.S. in EEE, 2023

    Sungkyunkwan University

Latest

  • [C80] Efficient and Robust SNN Decoder Training for Closed-Loop Brain-Machine Interfaces
  • [C73] Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI System
  • [J32] Input/Mapping Precision Controllable Digital CIM with Adaptive Adder Tree Architecture for Flexible DNN Inference
  • [C72] MEMHD: Memory-Efficient Multi-Centroid Hyperdimensional Computing for Fully-Utilized In-Memory Computing Architectures
  • [J31] An FPGA-Based Energy-Efficient Real-Time Hand Pose Estimation System with an Integrated Image Signal Processor for Indirect 3D Time-of-Flight Sensors
  • [C58] An Efficient Ventricular Arrhythmias Detection on Microcontrollers with Optimized 1D CNN
  • [C46] An Energy Efficient Sorting Architecture with Cell-Gating for Top-K Sorting on FPGA

© 2025 IRIS Lab. This work is licensed under CC BY NC ND 4.0

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