Sustainable Infrastructure and Geotechnical Laboratory (SIGLaB)

Maghoul Research Group - University of Manitoba

About Us

The Sustainable Infrastructure and Geotechnical Research Team, founded by Dr. Pooneh Maghoul, P.Eng. at the University of Manitoba, aims to develop innovative, sustainable and cost-effective solutions and strategies to enhance the structural and energy integrity of Geotechnical and Transportation Infrastructure and Subsurface Utilities.

Research Topics

Buried Infrastructure & Utilities

structural and thermal integrity of buried infrastructure and utilities in cold region; soil-pipeline interaction in landslide zones.

Geotechnical Earthquake Engineering

seismic site effect; dynamic soil-structure interaction; wave propagation in porous materials.

Non-Destructive Testing Development

wave propagation in porous materials; development of new non-destructive testing algorithms for geo-materials.

Infrastructure Resilience to Climate Change

deformation and stability of transportation and geotechnical infrastructure affected by global warming.

Renewable Geothermal Energy

piled energy geo-structures in cold region; d-Icing & snow melting of bridge decks and pavements by using thermal piles; behavior of concrete geothermal energy piles.

Energy Efficiency of Building

energy efficiency of basement structures in cold regions

Latest News

Lunch and Learn (June 6, 2019)

Building Sustainable Houses, Businesses and Youth Capacity to Solve the Housing Crisis in First Nation Communities a presentation by Shirley Thompson June 6, 2019 12:00-1:00 pm EITC E2-125 RSVP Link A partnership with two fly-in Island Lake communities in Manitoba is designing and building sustainable homes as well as a sustainable housing incubator business...

New Position Announcement: Postdoctoral Fellowship in Artificial Intelligence/Deep Learning for Satellite Imaging and Climate Change

POSITION OVERVIEW: This is an interdisciplinary position at the intersection of artificial intelligence, deep learning, and climate change. The Ph.D. student will work on research projects focused on developing innovative computer vision, image analytics, artificial intelligence, and deep learning solutions for localization of critical infrastructure in northern Canada from satellite imaging. Using satellite data...

New Position Announcement: Ph.D. in Artificial Intelligence/Deep Learning for Satellite Imaging and Climate Change

POSITION OVERVIEW: This is an interdisciplinary position at the intersection of artificial intelligence, deep learning, and climate change. The Ph.D. student will work on research projects focused on developing innovative computer vision, image analytics, artificial intelligence, and deep learning solutions for localization of critical infrastructure in northern Canada from satellite imaging. Using satellite data...

Collaborators & Sponsors

University of Manitoba
NSERC