About me

I am a Lecturer in Applied Artificial Intelligence at the Centre for Decision Research, University of Leeds. In March 2019, I completed my Ph.D. in Computer Science under the supervision of Dr. Ke Chen from the Machine Learning and Optimization Group, School of Computer Science, University of Manchester. From 2019 to 2023, I served as a Research Fellow in Machine Learning at the Maths Group of the EPSRC Future Advanced Metrology Hub.

My research interests include machine learning (ML), artificial intelligence (AI), and their real-world applications, particularly in sustainable manufacturing, design for additive manufacturing, and production research. I have been conducting research in machine learning for over ten years and have authored or co-authored 20 papers in leading journals in my field, such as IEEE Transactions on Industrial Informatics, Robotics and Computer-Integrated Manufacturing, Virtual and Physical Prototyping, Journal of Intelligent Manufacturing, Computers & Industrial Engineering, and Cognitive Computation. For details, please visit my Publications and Google Scholar pages.

ML publications

1. P. Shi, Q. Qi, Y. Qin, F. Meng, S. Lou, P. J. Scott, and X. Jiang, "Learn to rotate: Part orientation for reducing support volume via generalizable reinforcement learning", IEEE Transactions on Industrial Informatics (Impact Factor: 12.3), 2023.
2. P. Shi, Q. Qi, Y. Qin, P. J. Scott, and X. Jiang, "Highly interacting machining feature recognition via small sample learning", Robotics and Computer-Integrated Manufacturing (Impact Factor: 10.4), 2022.
3. P. Shi, Q. Qi, Y. Qin, P. J. Scott, and X. Jiang, "Intersecting machining feature localisation and recognition via single shot multibox detector", IEEE Transactions on Industrial Informatics (Impact Factor: 12.3), 2021.
4. Y. Qin, Q. Qi, P. Shi, P. J. Scott, and X. Jiang, "Automatic determination of part build orientation for laser powder bed fusion", Virtual and Physical Prototyping (Impact Factor: 10.962), 2021.
5. P. Shi, Q. Qi, Y. Qin, P. J. Scott, and X. Jiang, "A novel learning-based feature recognition method using multiple sectional view representation", Journal of Intelligent Manufacturing (Impact Factor: 7.136), 2020.
6. Y. Qin, Q. Qi, P. Shi, P. J. Scott, and X. Jiang, "Automatic generation of alternative build orientations for laser powder bed fusion based on facet clustering", Virtual and Physical Prototyping (Impact Factor: 10.962), 2020.
7. P. Shi, and K. Chen, "Learning constructive primitives for real-time dynamic difficulty adjustment in Super Mario Bros", IEEE Transactions on Games, 2017.
8. P. Shi, and K. Chen, "Online level generation in Super Mario Bros via learning constructive primitives", in IEEE Conference on Computational Intelligence and Games, 2016.

For other AI-related publications, please visit my Google Scholar pages.

Teaching experience

Module leader

• Quantitative analysis (2024), University of Leeds

Teaching staff

• Machine learning in practice (2024), University of Leeds
• Business analytics and decision science (2023–2024), University of Leeds

Teaching assistant

• Modelling and visualization of high dimensional data (2015), University of Manchester
• Introduction to machine learning (2015), University of Manchester
• Algorithms and imperative programming (2013–2017), University of Manchester
• 3rd Asian-Pacfic summer school on formal methods (2011), University of Science and Technology of China

Professional activity

Journal reviewer

• IEEE Transactions on Industrial Informatics
• Robotics and Computer-integrated Manufacturing
• Artificial Intelligence Review
• Journal of Intelligent Manufacturing
• CIRP Annals - Manufacturing Technology
• IEEE Transactions on Games
• Journal of Business Analytics
• Journal of the Operational Research Society
• Scientific Reports

Guest editor

• Special Issue ”Application of Artificial Intelligence Techniques in Additive Manufacturing” of Processes.

Invited talk

• 2023, “Machine Learning for Decision-making in Intelligent Manufacturing”, centre for decision research, University of Leeds, UK
• 2023, “Machine Learning Research in Intelligent Manufacturing”, research festival, University of Huddersfield, UK
• 2019, “Machine Learning and its Applications”, EPSRC Future Advanced Metrology Hub, UK

Biography

Education

• 2013-2019, Ph.D. in Computer Science (Machine Learning), University of Manchester
• 2010-2013, Master in Software Engineering, University of Science and Technology of China
• 2006-2010, Bachelor in Computer Science, Guilin University of Electronic Technology

Work experience

• 2023-present, Lecturer in Applied AI, University of Leeds
• 2019-2023, Research Fellow in Machine Learning, EPSRC Future Advanced Metrology Hub

Recent news

• Our abstract has been accepted for presentation at the Operations and Supply Chain Management (OSCM) Conference. This is joint work with Dr. Fanlin Meng from the University of Exeter Business School and Dr. Yuchu Qin from the EPSRC Future Advanced Metrology Hub.
• I was invited to give a talk on “Machine Learning for Decision-making in Intelligent Manufacturing” at the Centre for Decision Research, University of Leeds.
• I am joining Centre for Decision Research, University of Leeds as Lecturer in Applied Artificial Intelligence from September 2023!
• Our paper A novel weighted averaging operator of linguistic interval-valued intuitionistic fuzzy numbers for cognitively inspired decision-making has been accepted for publication in Cognitive Computation!
• I was invited to give a talk on “Machine Learning Research in Intelligent Manufacturing” at the research festival hosted by the University of Huddersfield.
• Our work Learn to rotate: Part orientation for reducing support volume via generalizable reinforcement learning has been accepted for publication in IEEE Transactions on Industrial Informatics! This is joint work with Dr. Fanlin Meng from Alliance Manchester Business School, University of Manchester.