Editorial Board

Please note that the order in which the Editors appear on this page is alphabetical, and follows the structure of the editorial board presented on the MDPI website under information for editors: editorial board responsibilities.

Members


Website
Editorial Board Member
Chair in Mine Design, The Robert M. Buchan Department of Mining, Queen’s University, Kingston, ON K7L 3N6, Canada
Interests: drilling performance; rock burst investigation; behaviour of cement paste backfill material; slope and underground opening stability; advanced laboratory and field testing methods; soil improvement methods
Special Issues, Collections and Topics in MDPI journals

Website
Editorial Board Member
Department of Civil and Environmental Engineering, University of Strathclyde, Glasgow G1 1XQ, UK
Interests: unsaturated soils; soil-plant-atmosphere continuum; soil and plant monitoring; geo-structures subjected to climatic loading; nature-based solutions in geotechnics; clay micromechanics

Website
Editorial Board Member
Computational Engineering for Sustainability Lab (CES-Lab), School of Engineering, University of Tasmania, Hobart, TAS 7001, Australia
Interests: computational geotechnics; foundations and soil–structure interaction; offshore geotechnics; landslides and slope stability
Special Issues, Collections and Topics in MDPI journals

Website
Editorial Board Member
Department of Civil Engineering, University of Thessaly, GR-38334 Volos, Greece
Interests: soil–structure interaction; tunnels; underground structures; geotechnical earthquake engineering; computational geotechnical engineering
Special Issues, Collections and Topics in MDPI journals

Website
Editorial Board Member
Department of Civil and Environmental Engineering, Duke University, Durham, NC 27708, USA
Interests: multiphysics geomechanics; deep-seated landslides; fault mechanics; energy and mineral deposits

Website
Editorial Board Member
Department of Civil & Environmental Engineering, University of Maryland, College Park, MD 20742, USA
Interests: machine learning modeling of geotechnical data; 3D geological model with AI-predicted point cloud data
Special Issues, Collections and Topics in MDPI journals
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