Control theory, moving horizon estimation, distributed parameter systems, and systems engineering
Artificial intelligence, machine learning, and quantum computing for dynamic modeling, soft sensing, fault diagnosis, and smart automation
Physics-informed machine learning and digital twins for intelligent monitoring and control with enhanced safety and sustainability
Applications in predictive modeling, smart sensing, control, and optimization of complex engineering systems (e.g., energy, manufacturing, agricultural, and mechanical systems)