The Laboratory of Big Data Analytics and Learning (BigDyL pronounced as Big Deal) in Web, Industrial, and Scientific Environments (WISE) is now studying the following problems (listed in alphabetical order):

• Deep Generative Models and Large Language Models;

• Deep Learning based on (Graph) Signal Processing and Differential Equations;

• Graph Convolutional Networks and Geometric Learning;

• Recommendation (Collaborative Filtering and Sequential Recommendation);

• Scientific Foundation Model, Physics-informed Neural Network and Operator Learning;

• Tabular Data Synthesis and Representation Learning;

• Time Series/Spatiotemporal Synthesis, Forecasting and Anomaly Detection.