Projects per year
Personal profile
Personal profile
Dr Pengfei Fan is currently a Lecturer at the Department of Intelligent Science, Xian Jiaotong-Liverpool University. He received his PhD degree from Queen Mary University of London, UK, both his Bachelor‘s and Master’s degrees from Nanjing University of Science and Technology, China. His research is centred on developing novel low-level vision and computational imaging technologies, interfacing with signal processing, machine learning and computer vision, in applications such as biomedical imaging, image restoration and enhancement, scattering imaging and projection, and multimodal sensing fusion. Dr Fan has published 20+ papers, including LSA (Nature), LPR (Wiley) and OE (Optica). His research has been supported by various domestic and international grants, including EPSRC, Royal Society, NSFC, and Jiangsu Key Laboratory.He was a Research Associate at the School of Electronic and Optical Engineering, Nanjing University of Science and Technology, China, from 2021 to 2022. Prior to that, he was a Visiting Researcher at the Department of Electronic Engineering, Tsinghua University, China, in 2020. He is a Fellow of the Higher Education Academy (FHEA).
Research interests
Low-level Vision
Computational Imaging
Image Restoration and Enhancement
Scattering Imaging and Projection
Inverse Problems
Experience
2022-Present | Lecturer, Department of Intelligent Science, Xian Jiaotong-Liverpool University, China
2021-2022 | Research Associate, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, China
2020-2021 | Visiting Researcher, Department of Electronic Engineering, Tsinghua University, China
2018-2020 | Teaching Assistant, School of Electronic Engineering and Computer Science, Queen Mary University of London, UK
Teaching
INT102 Algorithmic Foundations and Problem Solving
INT303 Big Data Analytics
Awards and honours
Open Bioinformatics Foundation (OBF) Travel Fellowship (2020)
Guarantors of Brain (GoB) Travel Grant (2020)
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):
Education/Academic qualification
PhD, School of Engineering and Materials Science, Queen Mary University of London, UK
MEng, School of Computer Science and Engineering, Nanjing University of Science and Technology, China
BEng, School of Computer Science and Engineering, Nanjing University of Science and Technology, China
Person Types
- Staff
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Collaborations and top research areas from the last five years
Projects
- 4 Active
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AI and Learning Analytics
Purwanto, E., Zhang, Q., Selig, T., Ma, T., Fan, P., Wang, Y. & Juwono, F.
1/04/24 → 31/12/24
Project: Internal Research Project
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Enhancing Big Data Analytics Teaching through Competition-based Learning Using Kaggle Platform
Fan, P., Wang, J., Li, N., Tay, T. T. & Wang, L.
1/03/24 → 28/02/26
Project: Internal Research Project
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Learning-based Methods for Single Image Restoration and Enhancement
1/07/23 → 30/06/26
Project: Internal Research Project
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A high-performance conical-neck helmholtz resonator-based piezoelectric self-powered system for urban transportation
Fan, P., Wang, S. & Wang, X., 15 Apr 2024, In: Applied Acoustics. 220, 109945.Research output: Contribution to journal › Article › peer-review
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Parameter estimation algorithm based on the combination of cross-correlation and principal component analysis for structured illumination microscopy
Huang, Y., Qian, J., Fan, P. & Liu, Y., 2024, Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Technologies in Optical Systems. Xue, D. & Wang, P. (eds.). SPIE, 131531G. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13153).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Tiled and layer-adaptive three-dimensional structured illumination microscopy based on principal component analysis
Xia, W., Qian, J., Fan, P. & Zuo, C., 2024, Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Imaging Systems. Zhou, Y., Zhang, Q., Xu, F. & Liu, B. (eds.). SPIE, 1315517. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13155).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Super-resolved image reconstruction by structured illumination microscopy
Fan, P., 2023.Research output: Contribution to conference › Paper › peer-review
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Correction: Deep learning in optical metrology: a review (Light: Science & Applications, (2022), 11, 1, (39), 10.1038/s41377-022-00714-x)
Zuo, C., Qian, J., Feng, S., Yin, W., Li, Y., Fan, P., Han, J., Qian, K. & Chen, Q., Dec 2022, In: Light: Science and Applications. 11, 1, 74.Research output: Contribution to journal › Comment/debate
Open Access2 Citations (Scopus)
Activities
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TDF Experience Sharing: Start small and Think big to Enhancing Big Data Analytics Teaching
Pengfei Fan (Speaker)
2024Activity: Talk or presentation › Invited talk
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7th International Conference on Machine Learning and Machine Intelligence (MLMI 2024)
Pengfei Fan (Participant)
2024Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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STEM Teaching and Learning Innovation Story Collection (Event)
Pengfei Fan (Reviewer)
2024Activity: Peer-review and editorial work of publications › Editorial work
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DAENG 2024: The Third International Conference on Advanced Data and Information Engineering
Pengfei Fan (Participant)
2024Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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Transformer-Based Diffusion Model for All-in-One Weather-Degraded Image Restoration
Pengfei Fan (Supervisor)
2024Activity: Supervision › Completed SURF Project