Wanqing Zhao

About

I am a Senior Lecturer in Data Science at the School of Computing. My research focuses on the development and applications of AI, machine learning, optimisation and control technologies for problems across healthcare, energy, building, and water industries. I obtained a PhD in Intelligent Systems and Control from Queen's University Belfast.

Education

• PhD in Intelligent Systems and Control, Queen's University Belfast

Selected publications

• Compositional Construction of Approximately Bisimilar Symbolic Models for Discrete-Time Interconnected Switched Linear Systems
• Compositional abstraction synthesis for interconnected switched systems with incrementally non-passive modes
• Feature-level interpretability in transfer learning-based chiller fault diagnosis
• A Unified Data-Driven Approach Under Deep Reinforcement Learning with Direct Control Responses for Microgrid Operations
• A self-organizing interval type-2 fuzzy neural network for multi-step time series prediction
• A holistic power optimization approach for microgrid control based on deep reinforcement learning
• H∞ mean square finite-time control for Markov jump linear system with multiple equilibria
• Cross-condition fault diagnosis of chillers based on an ensemble approach with adaptive weight allocation
• Approximately bi-similar symbolic model for discrete-time interconnected switched system
• Smart management of combined sewer overflows: From an ancient technology to artificial intelligence