Main research areas & tools


  • Deep learning / Machine learning
  • Statistical signal processing
  • Information theory
  • Many areas that deal with mathematics and computation
  • Main tools: Python/NumPy, C++/CUDA, Keras, Tensorflow, Pytorch


Current Projects


Core machine intelligence algorithms

  • Neural network based denoising / estimation (Supported by NRF, Samsung)
  • Multi-task / continual / incremental learning (Supported by IITP)
  • Interpretable machine learning (Supported by KIST, Joint work with Prof. Klaus-Robert Müller)
  • Fairness in machine learning (Supported by IITP, Joint work with Prof. Flavio Calmon)

Data science applications

  • Neuroscience / Medical data analyses (Joint work with Prof. Choong-Wan Woo, Prof. Jangsup Moon)
  • Satellite data based PM2.5 level estimation (Joint work with Prof. Yang Liu)
  • Random variation prediction for semiconductor manufacturing (Supported by KEIT, Joint work with Prof. Chang-Hwan Shin)


Past Projects