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