Two SALA projects awarded SSHRC funds
Two SALA projects awarded SSHRC funds matthew.wattier Fri, 09/13/2024 - 14:35 SALA External This article originally appeared on UBC Research + Innovation. Strategic Priority Areas...
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The applied sciences – architecture, landscape architecture, engineering, nursing, and planning – change society's conception of what is possible as a matter of course. Applied scientists make dreams real, turn ideas into practice. We embody the interface between present and future.
The Faculty of Applied Science comprises a unique constellation of professional disciplines including; Architecture & Landscape Architecture, Engineering, Nursing and Community & Regional Planning. The core purpose shared across all of our four disciplines is to discover, create and apply knowledge, provide unwavering top-tier education and champion a community of responsible professionals devoted to serving a thriving, sustainable and healthy society. Our work and the professions which our graduates represent span the entire human-centred built environment.
The disciplines within the Faculty of Applied Science are celebrated for the scope, strength and impact of their research activities. Our Faculty claims the spotlight in the global arena for our research in clean energy, communication and digital technologies, health and health technology among many others. We offer disciplinary-specific research based graduate programs as well as a range of professional graduate programs and pride ourselves on our ability to open doors of opportunity to students beyond their time within our Faculty.
Research Centres
Schools / Departments
Graduate Degree Programs
Recent Publications
This is an incomplete sample of recent publications in chronological order by UBC faculty members with a primary appointment in the Faculty of Applied Science.
Recent Thesis Submissions
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Design recipe automation for silicon photonics (EECE - MASC)
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Energy distribution of thermal electron emission (EECE - PHD)
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Towards a unified electro-optic circuits co-simulation (EECE - MASC)
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Low-cost scanning electron microscope (EECE - MASC)
Doctoral Citations
A doctoral citation summarizes the nature of the independent research, provides a high-level overview of the study, states the significance of the work and says who will benefit from the findings in clear, non-specialized language, so that members of a lay audience will understand it.
| Year | Citation | Program |
|---|---|---|
| 2015 | Dr. Wang completed his doctoral research in the field of Mechanical Engineering. His studies focused on the geometry processing of measurement data from 3D scanners, and errors arising in the scanning process. The models and methods he proposes have the potential to improve data quality, and this will benefit applications in reverse engineering. | Doctor of Philosophy in Mechanical Engineering (PhD) |
| 2015 | Dr. Mallick developed new schemes to improve the performance of wireless networks. By allocating the radio resources efficiently, his proposed schemes can reduce the power consumption of relay-based cooperative networks. This would result in improved spectrum and power utilization, leading to more efficient and cost-competitive wireless networks. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2015 | Dr. Costa proposed a mechanism for predicting the performance of storage systems, given a specific configuration and computing platform. With this predictor, the users of high-performance computing can assess trade-offs in terms of time or energy consumption that a given configuration has over another, without needing to re-execute an application. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2015 | Dr. Padilla studied the corrosion behaviour of galvanized steel in infrastructure applications, focusing on the effect of field conditions relevant to cold climates. He worked on developing a numerical model to easily calculate the corrosion rate by considering key parameters. His work will benefit the transportation and energy sectors in Canada. | Doctor of Philosophy in Materials Engineering (PhD) |
| 2015 | Dr. Alrowaie developed a novel algorithm for diagnosing chemical processes. The algorithm can rapidly detect and isolate any abnormal conditions in a process, before those conditions degrade the process and lead to catastrophic incidents. This will help to maintain high safety and reliability standards in the chemical industry. | Doctor of Philosophy in Chemical and Biological Engineering (PhD) |
| 2015 | Dr. Topley conducted research in the field of Electric and Computer Engineering. His innovations focus on new methods for use in dynamic distributed systems. His work contributes to the research in the field and promises to be beneficial for industry. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2015 | Dr. Wang studied the corrosion behaviour of niobium alloys used for human bio-implants. He developed several novel surface treatments to increase the effectiveness of implants using these alloys. These studies will assist us to develop the next generation of metallic bio-implants, to improve the function of implants, and increase their lifespan. | Doctor of Philosophy in Materials Engineering (PhD) |
| 2015 | Dr. Ahmadi Motlagh developed a new computer model which uses fewer resources to predict the flow in reactors producing gasoline from heavier hydrocarbons. Lab-scale experiments were conducted, as well as numerical simulations. The study sheds light on the complexities of gas/liquid/particle flow in the liquid injection zone of these reactors. | Doctor of Philosophy in Chemical and Biological Engineering (PhD) |
| 2015 | Dr. Bhatnagar studied spinal cord deformation during injury. He showed how a rodent's spinal cord injury can be quantified and related to the ensuing tissue damage. This work helps us to further understand the link between biomechanics and biology in spinal cord injury, and spans the fields of mechanical engineering, neuroscience and medical imaging. | Doctor of Philosophy in Mechanical Engineering (PhD) |
| 2015 | Dr. Kilic developed a unified mathematical model to predict the optimal conditions of machining parts in a virtual environment. The science-based mathematical model enables the industry to produce mechanical parts more efficiently by eliminating costly physical trials. The results have a wide application in aerospace and machine tool industries. | Doctor of Philosophy in Mechanical Engineering (PhD) |