Hi, I am Hyeon Kyu Lee

Hello, My name is Hyeon Kyu Lee, .

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• Received the B.S. degrees, in Electronics Engineering from Gangneung-Wonju National University University, Seoul, Korea, in 2017.
• Received the Ph.D. degrees, in Department of Electronic and Communications Engineering, Kwangwoon University, Seoul, Korea, in 2017.03 ~ 2022.08

• Brain-Computer Interface (BCI)

  • biomedical signal processing
  • classification algorithms using deep learning
  • designing to new paradigm

• Automatic Speech Recognition (ASR)

  • speech translation using deep learning
  • lightweight approach in ASR model

• AI conference and Journal Paper Reading

• 2019 Application of Continuous Wavelet Transform and Convolutional Neural Network in Decoding Motor Imagery Brain-Computer Interface, Entropy
• 2021 Enhancing SSVEP-Based Brain-Computer Interface with Two-Step Task-Related Component Analysis, Sensors
• 2022 Regularized Task-Related Component Analysis for Robust SSVEP-based Brain-Computer Interface, Electronic Letters

• 2018 A Convolution Neural Networks Scheme for Classification of Motor Imagery EEG based on Wavelet Time-Frequency Image, , The 32nd International Conference on Information Networking (ICOIN 2018)
• 2021 Data-driven Data Augmentation for Motor Imagery Brain-Computer Interface, The 35th International Conference on Information Networking (ICOIN 2021)
• 2022 A Lightweight End-To-End Neural Networks for Decoding of Motor Imagery Brain Signal (Accepted), 13th International Conference on Ubiquitous and Future Networks (ICUFN 2022)