Hulley Michael Hulley, Ph.D., P.Eng
Associate Professor
Department of Civil Engineering
Royal Military College of Canada
PO Box 17000, Station Forces
Kingston, ON K7K 7B4
613 - 541 - 6000 ext 6393
613 - 541 - 6218

Since completing his Ph.D. in 1991, Mike has been actively engaged in the consulting engineering industry. Since completing his Ph.D. in 1991, Mike has been actively engaged in the consulting engineering industry. Mike’s experience includes opening and managing offices, providing senior technical direction, managing complex environmental projects, authoring numerous engineering reports, and being an active managing partner of a successful engineering consulting firm. Mike is a technical leader in the field of water resources and has led water resources projects throughout the US and Canada. Presently, Mike is an associate professor in the faculty of civil engineering at the Royal Military College of Canada and a partner of Profound Engineering Limited

Mike specializes in the development and application of custom computer models in support of a variety of water quantity and quality investigations. His current focus is on the development of computer-models addressing regional and local groundwater management, saltwater intrusion, low-impact development measures for stormwater management, receiving water quality, and river hydrodynamics. In addition to Mike’s strong industrial experience, he is actively developing research projects addressing low-impact-development measures, regional low-flow assessment, climate change, surface water quality, water and wastewater treatment, and groundwater modelling.

Mike is a Designated Consulting Engineer and licensed professional engineer in Ontario and co-owner of Profound Engineering Limited. 

  • impacts of climate change on stormwater management infrastructure, 
    pathogen partitioning in wastewater
  • artificial neural-net predictive tools for water quality and recreational management
  • low-impact-development measures for urban stormwater infrastructure
  • linear systems approaches for groundwater modelling