Personal profile

Biography

Dr. Ling Ma is a lecturer in the School of Art, Design and Architecture at the University of Huddersfield (UoH). Before he joint UoH in 2017, he was a postdoctoral researcher and adjunct lecturer at the Technion – Israel Institute of Technology since December 2013. He also visited Georgia Institute of Technology in 2015.

Ling’s research focuses on applying various digital technologies to promote sustainable and resilient civil infrastructure.

Research Expertise and Interests

Building Information Modeling

Data Mining

Remote Sensing

Computer Vision

Agent-based Simulation

Virtual/Augmented/Mixed Reality

Research Degree Supervision

Structural Inspection using Photogrammetry and Machine Learning

Automated Generation of Semantically Rich 3D Information Models of Structures using Remote Sensing

Virtual/Augmented/Mixed Reality for Asset Management

Keywords

  • Computer Vision
  • Data Mining
  • Building Information Modeling
  • Machine Learning
  • Remote Sensing
  • Project Management

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2011 2018

  • 12 Article
  • 5 Conference contribution
1 Citations

3D Object Classification Using Geometric Features and Pairwise Relationships

Ma, L., Sacks, R., Kattel, U. & Bloch, T. Feb 2018 In : Computer-Aided Civil and Infrastructure Engineering. 33, 2, p. 152-164 13 p.

Research output: Contribution to journalArticle

Computer aided design
Geometry
1 Citations

SeeBridge as next generation bridge inspection: Overview, Information Delivery Manual and Model View Definition

Sacks, R., Kedar, A., Borrmann, A., Ma, L., Brilakis, I., Hüthwohl, P., Daum, S., Kattel, U., Yosef, R., Liebich, T., Barutcu, B. E. & Muhic, S. Jun 2018 In : Automation in Construction. 90, p. 134-145 12 p.

Research output: Contribution to journalArticle

Inspection
Electronic data interchange
Repair
Engineers

Building Model Object Classification for Semantic Enrichment Using Geometric Features and Pairwise Spatial Relations

Ma, L., Sacks, R. & Kattel, U. 2017 Proceedings of the 2017 Joint Conference on Computing in Construction (JC3). Bosché, F., Brilakis, I. & Sacks, R. (eds.). Edinburgh: Heriot-Watt University, Vol. 1, p. 373-380 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Semantics
3 Citations

Semantic Enrichment for Building Information Modeling: Procedure for Compiling Inference Rules and Operators for Complex Geometry

Sacks, R., Ma, L., Yosef, R., Borrmann, A., Daum, S. & Kattel, U. 28 Aug 2017 In : Journal of Computing in Civil Engineering. 31, 6, 12 p.

Research output: Contribution to journalArticle

Open Access
Mathematical operators
Semantics
Geometry
Highway bridges
Engines

A Cloud-Based BIM Platform for Information Collaboration

Ma, L. & Sacks, R. 2016 Proceedings of the 33rd International Symposium on Automation and Robotics in Constructions (ISARC), (Auburn, AL, USA, 18-21 July 2016). International Association for Automation and Robotics in Construction I.A.A.R.C), p. 581-589 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
reinforced concrete
Interoperability
Reinforced concrete
Data structures
laser