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bhyungk/README.md

πŸ‘‹ Byung Hyung Kim (κΉ€λ³‘ν˜•)

I am an Assistant Professor in the Department of Artificial Intelligence at Inha University, where I lead the Affective Artificial Intelligence (AFFCTIV) Lab. My research lies at the intersection of brain-computer interfaces, affective computing, and deep learning, with a particular focus on understanding and modeling human cognitive and emotional states using multimodal biosignals such as EEG, fNIRS, and facial expressions.

In our lab, we explore novel AI models that are not only effective but also emotionally and cognitively aware. Our goal is to build intelligent systems that understand humans better β€” both in theory and in real-world applications.

πŸ”¬ Current Research Interests

  • Affective computing & emotion recognition
  • Brain-computer interface (BCI)
  • Geometric deep learning on Riemannian manifolds
  • Generative models for neural decoding
  • Multimodal signal fusion and robust representation learning

🌐 AFFCTIV Lab

πŸ“« Contact If you're passionate about AI that understands the human mind and emotion, feel free to explore our work or reach out!


"Emotion-aware intelligence is the future of human-AI interaction."

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  1. affctivai/CCMTL affctivai/CCMTL Public

    Convolutional Channel Modulator for Transformer and LSTM Networks in EEG-based Emotion Recognition

    Python 12

  2. affctivai/coglier affctivai/coglier Public

    Detecting Concept Shifts under Different Levels of Self-awareness on Emotion Labeling

    Python 1 2

  3. affctivai/ConTL affctivai/ConTL Public

    Cascading global and sequential temporal representations with local context modeling for EEG-based emotion recognition

    Python 1

  4. affctivai/MOR affctivai/MOR Public

    Multi-Output Regression for Integrated Prediction of Valence and Arousal in EEG-Based Emotion Recognition

    Jupyter Notebook 1 1

  5. affctivai/RecSal-Net affctivai/RecSal-Net Public

    RecSal-Net: Recursive Saliency Network for Video Saliency Prediction

    Python 6 1