Research output per year
Research output per year
Personal profile
Personal profile
Peiqi Li is now a PhD student in Mathematical Science at the Department of Applied Mathematics, Xi'an Jiaotong-Liverpool University and Department of Mathematical Sciences, University of Liverpool, under the supervision of Dr. Jie Chen (PI), Dr. Hui Zhang (Co-PI) and Prof. Simon Hands (UoL Co-PI).
Research interests
- Subsurface fluid flow simulation
- Scientific machine learning
- AI for medical image analysis
Current work: Operator learning and random feature for multiphase flow and related problems
Awards and honours
- 2nd Price in 21st "Huawei Cup" National Graduate Mathematical Contest in Modeling (Joint work with Hongrui Zhang and Jiayan Jin from Xi'an Jiaotong-Liverpool University), 2024
- 3rd Price in 20th "Huawei Cup" National Graduate Mathematical Contest in Modeling (Joint work with Wenxuan Shi from Minzu University of China, and Wenxin Chen from Shanghai University of Finance and Economics), 2023
- Meritorious Winner in Mathematical Contest in Modeling (Joint work with Hongli Liao from Minzu University of China, and Zhenyi Wu from Hunan University), 2022
Teaching
I work as a teaching assistant for several courses:
- 2026-2027
- AIP203-Principles of Maching Learning (lab)
- MTH015-Introductory Linear Algenra (marking)
- MTH026-Calculus I (marking)
- 2025-2026
- MTH129-Introduction to AI for Mathematical Sciences (lab & inviglation)
- MTH106-Introduction to the Methods of Applied Mathematics (inviglation)
- MTH122-Introduction to Abstract Algebra (inviglation)
- PHY005-Physics I: Mechanics (lab instructor)
- IOM105-Artificial Intelligence for Managerial Decision Making (lab)
- FIN101-Essentials of Finance (marking)
- DTS002TC-Essentials of Big Data (lab)
- 2024-2025
- MTH017-Linear Algebra for Mathematical Science (marking)
- MTH007-Linear Algebra (marking)
- MTH116-Foundations of Financial Computing (lab & invigilation)
- DTS003-AI and Entrepreneurial InnovationAI and Entrepreneurial Innovation (lab)
- IOM103-Artificial Intelligence In Business (seminar & marking)
- 2023-2024
- MTH205-Introduction to Statistical Methods (marking)
- MTH104-Introduction to Statistics (marking)
- IOM103-Artificial Intelligence In Business (seminar & marking)
- DTS002TC-Essentials of Big Data (lab & material preparation)
Related documents
Education/Academic qualification
Master, MSc in Financial Mathematics, University of Liverpool
2023 → 2025
Bachelor, BSc in Information and Computational Science, Minzu University of China
2019 → 2023
External positions
Research Assistant, School of Mathematics and Physics, Xi'an Jiaotong-Liverpool University
Sept 2025 → Dec 2025
Research Assistant, Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University
Jun 2024 → Aug 2024
Research areas
- Partial Differential Equations
- Deep Learning
- AI for Medicine
- Subsurface Flow
Person Types
- Students
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics where Peiqi Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Applying Two-Grid Preconditioner for Subsurface Flow Simulation using Attention-enhanced Hybrid Network to Accelerate Multiscale Discretization in High-contrast Media
Li, P., Chen, J. & Fu, S., 2026, (Submitted) In: arXiv preprint.Research output: Contribution to journal › Article
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Approximating Generalized Multiscale Discretization of High-contrast Darcy Flow using Dual-domain Neural Operator
Li, P. & Chen, J., 2026, (Accepted/In press) 8th International Conference on New Trends in Computational Intelligence (NTCI2026). IEEEResearch output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Domain-decomposed Evolutional Deep Neural Network with Random Features for Transient Pressure Diffusion with Discontinuous and High-Contrast Coefficients
Li, P., Chen, J., Zhang, H. & Hands, S., 2026, (Submitted) In: arXiv preprint.Research output: Contribution to journal › Article
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Hybrid Two-Stage Reconstruction of Multiscale Subsurface Flow with Physics-informed Residual Connected Neural Operator
Li, P. & Chen, J., 18 Apr 2026, In: Journal of Computational Physics. 560, 114938.Research output: Contribution to journal › Article › peer-review
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Multiscale Subsurface Flow in the Era of Deep Learning: A Review
Li, P., Chen, J., Zhang, H. & Hands, S., 2 Apr 2026, (Submitted) In: Journal of Computational and Applied Mathematics.Research output: Contribution to journal › Review article
Activities
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2nd Summer School on AI for Industrial Software
Li, P. (Participant)
22 Jun 2026 → 26 Jun 2026Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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Machine learning methods for subsurface flow simulation
Chen, J. (Supervisor) & Li, P. (Co-supervisor)
Jun 2026 → Aug 2026Activity: Supervision › Completed SURF Project
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npj Biomedical Innovations (Journal)
Li, P. (Reviewer)
2026Activity: Peer-review and editorial work of publications › Publication Peer-review
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1st Summer School on AI for Industrial Software
Li, P. (Participant)
14 Jul 2025 → 18 Jul 2025Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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Biomedical Signal Processing and Control (Journal)
Li, P. (Reviewer)
2024 → …Activity: Peer-review and editorial work of publications › Publication Peer-review