Deep learning algorithms

Bayesian inferences

Sparse models

Reinforcement learning

Learning for special situations: active learning, meta learning, few-shot learning, multitask learning, open set recognition, semi-supervised learning, crowdsourced data analysis

Industry applications: manufacturing, quality management, prognostics and health management

Text analysis: keyword extraction, chatbot development, emotion analysis

Financial data analysis: derivative pricing, credit risk analysis, market cost prediction

Convergence with other areas: ergonomics, material informatics, semiconductor design, climate forecasting, logistics