Shan Lou

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Reader in Precision Metrology

University of Huddersfield

United Kingdom

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About

Shan Lou is a Reader in Precision Metrology at the University of Huddersfield, UK. Her research focuses on advanced metrology techniques, including 3D reconstruction, surface topography measurement, and the characterization of materials using spectroscopic ellipsometry. She has published recent articles on employing deep learning in surface measurement, modeling material behaviors, and comparing dimensional measurement methods for additive manufacturing.

Recent Grants

Grant: Open

The Future Advanced Metrology Hub for Sustainable Manufacturing

Open Date: 2024-07-01

Close Date: 2031-06-01

Grant: Open

Flexible Laser-based manufacturing through precision photon distribution

Open Date: 2024-01-01

Close Date: 2026-12-01

Grant: Close

Investigation of dimensional accuracy and surface roughness of polymeric parts manufactured by additive manufacturing, Future Metrology Hub – Innovation Project

Open Date: 2023-08-01

Close Date: 2024-08-01

Grant: Close

Development of a Modular Reference Artifact to Characterise XCT Systems Performance and Facilitate the Adoption of Additive Manufacturing Technologies

Open Date: 2021-10-01

Close Date: 2024-09-30

Grant: Close

Investigation of Fatigue Performance of Additively Manufactured Freeform Components via Non-destructive Metrology

Open Date: 2020-10-01

Close Date: 2023-09-30

Articles (17)

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2025

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2023

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2023

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2023

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2022

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2021

Collaborators (10)

Barbara Conway

University of Huddersfield

UNITED KINGDOM

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Peizhi Shi

Lecturer in Applied Artificial Intelligence

University of Leeds

UNITED KINGDOM

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Muhammad Usman Ghori

University of Huddersfield

UNITED KINGDOM

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Yuchu Qin

University of Huddersfield

UNITED KINGDOM

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Shubhavardhan Ramadurga Narasimharaju

University Lecturer/ Associate Professor B in Additive Manufacturing

South East Technological University

IRELAND

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Xiangqian Jiang

University of Huddersfield

UNITED KINGDOM

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Xiao Chen

University of Huddersfield

UNITED KINGDOM

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Visakan Kadirkamanathan

Professor

University of Sheffield

UNITED KINGDOM

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Qunfen Qi

University of Bristol

UNITED KINGDOM

View details

Paul Scott

University of Huddersfield

UNITED KINGDOM

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Shan Lou

Research Interests

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About

Recent Grants

Articles (17)

A deep learning-enhanced in-situ surface topography measurement method based on the focus variation microscopy and the industrial camera for material extrusion-based additive manufacturing

BlurRes-UNet

Investigation of the correlation between radiographic image quality and surface measurement quality of XCT using frequency response analysis

SC-FPP: breaking 1 kHz frame-rate limits of 3D reconstruction with industrial cameras via snapshot compressive fringe projection profilometry

Modelling the Constitutive Behaviour of Recycled PET for the Manufacture of Woven Fabrics

A Review of Measurement and Characterization of Film Layers of Perovskite Solar Cells by Spectroscopic Ellipsometry

A Whale Optimization Algorithm-Based Data Fitting Method to Determine the Parameters of Films Measured by Spectroscopic Ellipsometry

Enriching Laser Powder Bed Fusion Part Data Using Category Theory

Comparison of X-ray computed tomography and coordinate-measuring system dimensional measurement for additive manufacturing parts using physical and simulation methods

Unlocking freeform structured surface denoising with small sample learning: Enhancing performance via physics-informed loss and detail-driven data augmentation

Surface texture characterisation of longitudinal and latitudinal external and internal surfaces of laser powder bed fusion processed bespoke ball artefact

Optimisation of process parameters for improving surface quality in laser powder bed fusion

Learn to rotate: Part orientation for reducing support volume via generalizable reinforcement learning

Multi-Attribute Decision-Making Methods in Additive Manufacturing

Personalised 3D-Printed Mucoadhesive Gastroretentive Hydrophilic Matrices for Managing Overactive Bladder (OAB)

Establishment of X-ray computed tomography traceability for additively manufactured surface texture evaluation

Electrically Tunable Lens (ETL)-Based Variable Focus Imaging System for Parametric Surface Texture Analysis of Materials

Collaborators (10)

Barbara Conway

Peizhi Shi

Muhammad Usman Ghori

Yuchu Qin

Shubhavardhan Ramadurga Narasimharaju

Xiangqian Jiang

Xiao Chen

Visakan Kadirkamanathan

Qunfen Qi

Paul Scott

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