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 |
|---|---|---|
| 2016 | Dr. Goeders developed new techniques to allow computer chip designers to observe their systems and locate bugs. His techniques target emerging design methods, allowing for the development of more complex circuit systems than previously possible. Ultimately this will allow for new computers capable of meeting the growing demands of future applications. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2016 | Dr. Grist developed a new device to recreate aspects of the environment in tumors that can affect cancer cells' behavior and response to drugs. By growing cells on a 3D scaffold and precisely controlling the oxygen level, her device has the potential to better predict patient response in the early stages of testing cancer treatments on cells. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2016 | Dr. Sielmann studied solid-state energy conversion technologies. He examined how nanostructuring and electrochemical growth affect the ability of zinc oxide thin films to convert a thermal gradient into electrical power. His work yielded new insights into heat flow and thermal conductivity that ultimately impact power generation and refrigeration. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2016 | Dr. Meisam Farajollahi studied linear and trilayer conducting polymer-based actuators and developed time domain non-linear model to predict their behaviors. His thesis addresses challenges in fabrication and modeling of this type of actuators and provides insight into design, prediction and optimization of actuators for different applications. | Doctor of Philosophy in Mechanical Engineering (PhD) |
| 2016 | Dr. Nouranian introduced a methodology to automate planning of radiation therapy treatment for prostate cancer. He demonstrated that using large data analytics, a statistical model can be developed that captures the flow of information in the planning process. This research can potentially help with improving quality assurance in cancer treatment. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2016 | Dr. Brosch developed artificial intelligence models to automatically analyze medical images. His methods found patterns in the brain images of multiple sclerosis patients that can help monitor their disease. His work will help researchers understand multiple sclerosis imaging features and evaluate new treatments more efficiently and accurately. | Doctor of Philosophy in Biomedical Engineering (PhD) |
| 2016 | Dr. Nikbakht studied fibre suspension dynamics. He found that the addition of fibres reduces the drag of turbulent flow. This increases our understanding of fluid drag and turbulent flow and can be applied to the pulp and paper industry. | Doctor of Philosophy in Mechanical Engineering (PhD) |
| 2016 | Dr. Miao developed an effective imaging registration method to reveal motions of the patient and medical devices during medical imaging and treatment. His research enables motion corrected medical imaging, as well as advanced image guidance for life-saving minimally invasive procedures for treating cardiovascular diseases. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2016 | Dr. Sun demonstrated the novel concept of storing CO2 at shallow depths in depleted natural gas reservoirs in Alberta. His work showed that at these conditions, solid gas hydrate crystals form and lock the CO2 in place. His research could help mitigate the CO2 emitted from Alberta fossil fuel conbustion sources for more than 250 years. | Doctor of Philosophy in Chemical and Biological Engineering (PhD) |
| 2016 | Memories are basic components of computing systems and the bottleneck of computation performance. Dr. Abdelhadi developed parallel memory architectures to increase the performance and reduce the cost of compute-intensive systems. A variety of hardware accelerators can apply his techniques to solve some of the most important computational problems. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |