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.

Mission
We shape the people and the professions that shape the world.
 

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

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
2018 Numerous everyday materials and products are made up of polymers. Dr. Ebrahimi studied the molecular characteristics on the flow behaviour in molten polymers. She developed a comprehensive universal model to predict the processing behaviour of various polymers based on their structure. Doctor of Philosophy in Chemical and Biological Engineering (PhD)
2017 Dr. Lambert-Shirzad studied arm motion coordination in healthy and post-stroke populations. He created a mathematical model to show how a stroke alters healthy motion coordination patterns. This model provides a better understanding of impairment post-stroke and will aid in the design of more efficient therapies for people with stroke. Doctor of Philosophy in Biomedical Engineering (PhD)
2017 Dr. Vavlekas studied the polytetrafluoroethylene paste extrusion, to explain the role of structure formation on the Poissons ratio of final products such as stents and other implants. He used a model to simulate the transient tensile results. This work increases our understanding of potential treatments for atrial fibrillation or esophageal diseases. Doctor of Philosophy in Chemical and Biological Engineering (PhD)
2017 Dr. Bahrami studied energy management programs to reduce cost and increase reliability in power grids. He designed algorithms to match power generation levels to residential energy demands and data centers in distribution networks. His work will help balance peak electricity demands with consumer use. Doctor of Philosophy in Electrical and Computer Engineering (PhD)
2017 Dr. Molazem developed intrusion detection techniques to improve security of IoT, or Internet-of-Things. These systems are used in critical settings such as smart grids, and medical devices. Yet, it is difficult to make them secure as they are resource-constrained. This research proposes new ways to protect IoT devices against software attacks. Doctor of Philosophy in Electrical and Computer Engineering (PhD)
2017 Dr. Arianpoo studied the transfer of data over wireless networks. She demonstrated how the use of machine learning can significantly improve the performance of data transport in multi hop wireless networks. The proposed dynamic approach is one step closer to unlocking the great potential of machine learning and Artificial Intelligence in our day-to-day life. Doctor of Philosophy in Electrical and Computer Engineering (PhD)
2017 Dr. Pandhari developed a model to predict the formation of cracks in refractory materials, used as lining in metallurgical reactors. He also developed a novel experimental technique to test refractories on a laboratory scale. This technique could be used to avoid frequent shut-downs of the reactors, thus increasing the efficiency of manufacturing. Doctor of Philosophy in Materials Engineering (PhD)
2017 The world is full of mixtures of unobserved source signals. Dr. Zou's doctoral studies focused on recovering the underlying source signals from a limited number of observations. His proposed methods can be utilized in a wide class of physiological signals for artifact removal and for better interpretations of these signals. Doctor of Philosophy in Electrical and Computer Engineering (PhD)
2017 Dr. Mysore Balasubramanya proposed novel, cost-effective enhancements to the power saving mechanism currently adopted by the 4G Long Term Evolution (LTE) standard. The proposed solutions address battery operated Machine Type Communication (MTC) devices, especially those in low network coverage and result in improved energy efficiency, thus increasing their battery life. Doctor of Philosophy in Electrical and Computer Engineering (PhD)
2017 Dr. Khoshdarregi developed physics-based mathematical models for threading oil pipes. His models help improve the productivity and accuracy of the threading operation and minimize rupture of oil pipes in offshore and land-based oil transportation. Doctor of Philosophy in Mechanical Engineering (PhD)

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