Site Accessibility Statement
Wilfrid Laurier University Faculty of Science
January 20, 2017
Canadian Excellence

Laurier is a founding member of SHARCNET (, a consortium of universities and colleges operating a network of high-performance compute clusters in south western, central and northern Ontario.

The Shared Hierarchical Academic Research Computing Network (SHARCNET) is a world‐class consortium of 16 Ontario colleges and universities in a “cluster of clusters” of high performance computers linked by advanced fiber optics. Its unique infrastructure enables computational research in areas such as science, engineering and business.

Established in 2001, SHARCNET provides leading‐edge computational equipment to accelerate the production of research results for academic and industry partners. Its members seek linkages between academic researchers and corporate partners in new business opportunities; to attract and retain the best students, researchers and companies; and to create new opportunities for further building Canada’s knowledge‐based economy.

SHARCNET is committed to developing an effective High Performance Computing (HPC) culture in Canada. Its key strategic areas of focus include: genomics, bioinformatics and biocomputation; physics and chemistry of advanced materials; fluid dynamics in engineering, aerospace, astrophysics and geophysics; earth systems and environmental earth sciences; economics, business and finance; and High Performance Computing, visualization, networks and grid computing.

People at Laurier

Dr. Stephen Perry, Department of Kinesiology & Physical Education A SHARCNET Undergraduate Fellowship funded a study to determine if an Artificial Neural Network based model could be used to approximate an individual’s center of mass (COM) during dynamic movements in upright stance given only pressure data originating from pressure sensing insoles. The objective was to gain insight into how the human postural control system uses this sensory information to control balance. The model demonstrated good prediction of the COM in the anterior/posterior direction and an extension of this model to 2-D space, incorporating medial/lateral information. Pilot work has also begun on modeling the COM and it relationship to the base of support during gait using pressure insoles.

Dr. Stephen Perry
Department of Kinesiology & Physical Education