Our research spans multiple disciplines, including machine/deep learning, large-scale optimization, information theory, statistical signal processing, and 6G communications. The current research topics are briefly summarized as follows:

• Reinforcement Learning (Offline RL/ Multi-Agent RL)

• Efficient Learning for Hyperscale AI (Large-Scale Optimization)

• Machine Learning (Representation/Lifelong/Continual/Federated Learning)

• AI for Wireless Communications

• Statistical Signal Processing

Mathematical Backgrounds: Probability & Statistics, Linear Algebra, Random Processes, Algorithms, Machine Learning, and Optimization