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Dr Peizhi Shi

Dr Peizhi Shi

  • Position: Lecturer in Applied Artificial Intelligence
  • Areas of expertise: Industrial AI; Machine Learning; AI-enabled Decision Support; Production and Sustainable Operations
  • Email: P.Shi@leeds.ac.uk
  • Website: Personal Website | Googlescholar

Profile

I am an Assistant Professor in Applied Artificial Intelligence at the Centre for Decision Research, University of Leeds. My research develops Industrial AI and AI-enabled decision systems for complex production and operational environments, with particular emphasis on machine learning, computer vision, large language models, and optimisation. My work focuses on intelligent manufacturing, production research, sustainable operations, and data-driven decision support, connecting technical AI systems with real-world industrial and organisational challenges. For further details on my research projects, PhD opportunities, and available funding, please visit my personal webpage.

Research interests

Industrial AI; Machine Learning; AI-enabled Decision Support; Production and Sustainable Operations

Message to Potential PhD Students

I welcome enquiries from prospective PhD students interested in Industrial AI, AI-enabled decision support, and sustainable operations. I am particularly interested in projects that use machine learning, computer vision, large language models, and optimisation to improve decision-making in production, operations, and sustainability. If you are considering doctoral research in these areas, please feel free to get in touch with your academic CV and a brief statement of research interests.

Grant

  • 10/2025–10/2027, Principal Investigator, “LLM-Enhanced Decision Support System for Sustainable Packaging,” Knowledge Transfer Partnership with SR Mailing Ltd, £338,916, Innovate UK.

Qualifications

  • PhD in Computer Science, University of Manchester, UK
  • MEng in Software Engineering, University of Science and Technology of China, China
  • Fellow of the Higher Education Academy (FHEA)

Student education

  • LUBS5565M: Applied AI in Business (2025 – present), Module Leader
  • LUBS5586M: Quantitative Analysis (2024 – 2025), Module Leader
  • LUBS5990M: Machine Learning in Practice (2023), Teaching Staff
  • LUBS5308M: Business Analytics and Decision Science (2023 – 2024), Teaching Staff

Research groups and institutes

  • Centre for Decision Research