Tianlong (Taylor) Liu
Assistant Professor
Chemical and Biochemical Engineering
- Assistant ProfessorChemical and Biochemical Engineering
RESEARCH INTERESTS
Dr. Liu’s research integrates Artificial Intelligence (AI) to simulate and optimize chemical and biochemical processes, aiming to enhance operational efficiency and sustainability. His work encompasses AI-driven solutions for environmental monitoring, intelligent process control, and sustainable energy systems. Notable contributions include advanced machine learning models for air/wastewater quality prediction, intelligent fault detection systems, and deep learning applications in environmental engineering. Dr. Liu is passionate about advancing the frontier of AI applications in engineering, addressing critical challenges and promoting sustainable industrial development. His current research focuses on:
- AI-Enhanced Process Control and Optimization
Implementing intelligent systems to optimize chemical and biochemical processes, improving performance, safety, and sustainability.
- Machine Learning for Industrial Data Analysis
Leveraging machine learning algorithms to extract actionable insights from complex industrial datasets, supporting decision-making and predictive maintenance.
- Physics-Informed Machine Learning (PIML)
Integrating fundamental physical principles with machine learning to improve model accuracy, reliability, and predictive power in engineering applications.
- Large Language Models (LLMs) in Engineering Applications
Utilizing LLMs for automating knowledge extraction, enhancing documentation processes, and supporting sophisticated engineering decision-making and communication.