Welcome to Sustain AI Group!
The SustainAI Group, led by Dr. Tianlong (Taylor) Liu at Western University, develops AI-driven solutions for challenges in engineering and industries. Our work integrates physics-informed machine learning, digital twins, and intelligent process control to advance sustainable engineering. Our current research focuses on:
- Machine Learning for Industrial Data Analysis - Leveraging machine learning to extract actionable insights from complex industrial datasets, supporting decision-making and predictive maintenance.
- AI-Enhanced Process Control and Optimization - Implementing intelligent systems to optimize industrial processes, improving performance, safety, and sustainability.
- 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.
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Openings:
We are always looking for self-motivated students who want to pursue a Ph.D. degree in Chemical and Biochemical Engineering. If you are interested in Machine Learning, Process Control and Optimization, Industrial Data Analysis, and Large Language Models, please send your resume/CV (preferably with a research plan) to tianlong.liu@uwo.ca.
**Applications are reviewed and interviewed on an ongoing basis. Due to the large number of inquiries, we are regretful that personal responses to each cannot be guaranteed. Only those shortlisted for interviews will be contacted; please refrain from sending follow-up emails or reminders.
