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Professor Kevin McDougall

Professor Kevin McDougall
Name Kevin McDougall
Position Head of School (Civil Engineering and Surveying)
Section School of Civil Engineering and Surveying
Office Z447.1
Location Toowoomba Campus
Phone +61 7 4631 2545
Extension 2545
Email
Qualifications BSurv Qld , BSurv(Hons) Qld , MSurv&Map Qld , PhD Melb

Fields of Research (FoR)

  • Information Systems not elsewhere classified ( 080699 )
  • Urban and Regional Planning not elsewhere classified ( 120599 )
  • Geomatic Engineering not elsewhere classified ( 090999 )

Research interests
Spatial Data Infrastructure, property rights, spatial data sharing

Professional memberships
Member of the Institute of Surveyors, Australia
Fellow of Spatial Sciences Institute
Companion Engineers Australia

Industry affiliations
Board of Trustees for Bi Centennial Education Foundation
Engineering Executive, Engineers Australia

USQ Research affiliations

  • International Centre for Applied Climate Sciences (ICACS)

Currently teaching courses/programs
SVY2301 Automated Surveying Systems

Teaching experience(Tertiary)
30 Years

Teaching experience(Other)
5 Years

Administrative responsibilities
Head of School of Civil Engineering and Surveying

Research most recent
Koswatte, Saman and McDougall, Kevin and Liu, Xiaoye (2017) VGI and crowdsourced data credibility analysis using spam email detection techniques. International Journal of Digital Earth. pp. 1-13. ISSN 1753-8947

Espada, Rudolf and Apan, Armando and McDougall, Kevin (2017) Vulnerability assessment of urban community and critical infrastructures for integrated flood risk management and climate adaptation strategies. International Journal of Disaster Resilience in the Built Environment, 8 (4). pp. 375-411. ISSN 1759-5908

Scarmana, Gabriel and McDougall, Kevin (2016) An application of space filling curves to digital terrain models. In: XVI International Congress for Mine Surveying: Connecting Education and Industry, 12-16 Sept 2016, Brisbane, Australia.

Koswatte, Saman and McDougall, Kevin and Liu, Xiaoye (2016) Semantic location extraction from crowdsourced data. In: XXIII International Society for Photogrammetry and Remote Sensing (ISPRS 2016), 12–19 July 2016, Prague, Czech Republic.


Research most notable
McDougall, K. and Rajabifard, A. and Williamson, I. (2007) A mixed-method approach for evaluating spatial data sharing partnerships for spatial data infrastruture development. In: Onsrud, Harlan, (ed.) Research and theory in advancing spatial data infrastructure concepts. ESRI Press, Redlands, California, pp. 55-73.

Espada Jr., Rodolfo and Apan, Armando and McDougall, Kevin (2015) Vulnerability assessment and interdependency analysis of critical infrastructures for climate adaptation and flood mitigation. International Journal of Disaster Resilience in the Built Environment, 6 (3). pp. 313-346. ISSN 1759-5908


Publications in ePrints

Scarmana, Gabriel and McDougall, Kevin (2018) A convolution-deconvolution method for improved storage and communication of remotely-sensed image data. In: 11th SPIE Asia-Pacific Remote Sensing Symposium 2018: Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VII, 24-26 Sept 2018, Honolulu, Hawaii, United States.

Mirzaghorbanali, Ali and Gregor, Peter and Alkandari, Hamed and Aziz, Naj and McDougall, Kevin (2018) Mechanical behaviours of grout for strata reinforcement. In: 2018 Coal Operators' Conference, 7-9 Feb 2018, Wollongong, NSW, Australia.

Koswatte, Saman and McDougall, Kevin and Liu, Xiaoye (2018) Relevance assessment of crowdsourced data (CSD) using semantics and geographic information retrieval (GIR) techniques. International Journal of Geo-Information, 7 (7). pp. 1-18. ISSN 2220-9964

Zhang, Zhenyu and Liu, Xiaoye and McDougall, Kevin and Wright, Wendy (2017) Fuzzy analysis of airborne LiDAR data for rainforest boundary determination. In: 6th International Conference on Telecommunications and Remote Sensing (ICTRS'17) , 06-07 Nov 2017, Delft, Netherlands.

Koswatte, Saman and McDougall, Kevin and Liu, Xiaoye (2017) VGI and crowdsourced data credibility analysis using spam email detection techniques. International Journal of Digital Earth. pp. 1-13. ISSN 1753-8947

View full listing in ePrints