Haida Liang

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Professor at School of Science & Technology

University of Nottingham
Country flagUnited Kingdom

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Haida Liang is a Professor at the School of Science & Technology at Nottingham Trent University, UK. His research focuses on ground-based remote sensing, machine learning applications in cultural heritage, and multimodal analysis techniques for art conservation. Recent publications highlight his work on non-invasive monitoring of historic buildings and innovative methods for analyzing wall paintings. His interdisciplinary approach combines physics and art to advance the understanding and preservation of cultural artifacts.

Recent Grants

Grant: Close

Culture and Trade through the Prism of Technical Art History - a study of Chinese export paintings

Open Date: 2013-02-01

Close Date: 2014-01-31

Grant: Close

Collaborative Doctoral 2010 Grant - Non-invasive methods for in situ assessing and monitoring the vulnerability of rock art monuments

Open Date: 2010-09-30

Close Date: 2014-07-30

Grant: Close

The Next Generation of Optical Coherence Tomography (OCT) for Art Conservation - in situ non-invasive imaging of subsurface microstructure of objects

Open Date: 2010-07-04

Close Date: 2013-12-31

Grant: Close

The nature of highly polarised radio sources

Open Date: 2009-06-08

Close Date: 2009-09-07

Grant: Close

Understanding complex structures: the conservation, display and interpretation of lace and natural objects

Open Date: 2009-02-01

Close Date:

Positions (1)

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Haida Liang

University Name
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Nottingham Trent University

This PhD project offers a unique opportunity to explore the making, degradation, and origin of historical parchments using advanced AI-aided, data-driven approaches. Parchments, made from treated animal skins, have served as the primary writing material in Europe and West Asia from the 4th to the 15th century, preserving invaluable records of civilisation. Understanding their origin, manufacturing processes, and degradation mechanisms is crucial for heritage conservation and manuscript dating. The research will focus on the identification of animal species (calf, sheep, goat) used in parchment production, leveraging biocodicology and both invasive (ZooMS, eZooMS) and non-invasive (reflectance spectroscopy, hyperspectral imaging, optical coherence tomography) analytical techniques. Machine learning and AI methods will be developed to enhance species identification and to disentangle complex multimodal imaging data, capturing information about animal origin, age, manufacturing differences, and degradation states. Students will work with a large collection of parchment manuscripts, employing non-invasive imaging to record statistical variations and train robust AI models. Comparative studies will be conducted on manuscripts from Belgium and British archives, representing different manufacturing traditions and exposure conditions. Reference proteomics analyses will be used for verification and calibration. The project is based in the Imaging and Sensing for Archaeology, Art history and Conservation (ISAAC) Lab at Nottingham Trent University and the Artificial Intelligence for Cultural Heritage (PHOENIX) collaborative research project at the University of Namur, Belgium. The studentship is jointly funded by both institutions, covering tuition fees and stipend, and the successful candidate will be registered at both universities. Applicants should have a background in physical sciences or bioinformatics, with a strong interest in heritage science, conservation, and archaeological science. The project welcomes candidates from diverse backgrounds and encourages applications from underrepresented communities. The research environment is inclusive and supportive, offering access to cutting-edge facilities and interdisciplinary expertise. Application deadline is June 15, 2026. For further information, visit the ISAAC Lab and PHOENIX project websites, or contact the supervisory team. Apply via the Nottingham Trent University applications page, ensuring you meet the eligibility criteria.

4 months ago

Articles (10)

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2021

Collaborators (2)

Lucas Goehring

Professor of Physics

University of Nottingham

UNITED KINGDOM
View details

Blythe McCarthy

Smithsonian Institution

UNITED STATES
View details
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