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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.
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.
| Year | Citation | Program |
|---|---|---|
| 2022 | Dr. Koppisetti has developed new artificial intelligence and signal processing algorithms for low-cost detection and localisation of unauthorized wireless devices being operated in an area of interest. This research helps us passively protect our security-sensitive institutions, such as airports, from intruder flying devices such as drones. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2022 | Dr. MacDonald developed methods to produce a type of immune cell called regulatory T cells for use as a therapy to prevent tissue damage following stem cell transplantation. She developed methods that are compatible with clinical standards and identified key aspects of the process that must be controlled to generate high quality cells. | Doctor of Philosophy in Biomedical Engineering (PhD) |
| 2022 | Dr. Evans examined methods to reduce the memory consumption of deep neural network training. He discovered which features are unimportant to network perception, and removed them using hardware and software techniques. This research has broad impacts on the development of new machine learning models. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2022 | Dr. Dixit focused on identifying ways to address the challenge of water scarcity. He developed a nature-inspired water recycling protocol for the safe reuse of water in our cities, industries and households. His findings contribute to the improvement of conditions in water stressed areas, which are home to over 5.5 billion individuals worldwide. | Doctor of Philosophy in Chemical and Biological Engineering (PhD) |
| 2022 | Dr. Castillo Devoto designed a novel framework to assess climate risk in the mining industry. With a holistic sense of climate hazards, vulnerabilities, and exposures in the watershed, the framework supports land restoration design with ecosystem-based adaptation strategies, coping with climate change and contributing to sustainable development. | Doctor of Philosophy in Mining Engineering (PhD) |
| 2022 | Dr. Alamoudi developed a successful method to modify a catalyst used to process crude oils derived from the Canadian oilsands. The modified catalyst produced less side products that deactivate the catalyst, resulting in a longer catalyst life and the potential for reduced greenhouse gas emissions associated with the oilsands refining process. | Doctor of Philosophy in Chemical and Biological Engineering (PhD) |
| 2022 | Dr. Zhou developed novel optimization algorithms for integrated circuit routing. He uses machine learning techniques and divide-and-conquer methods to accelerate the chip design process while improving the performance. His work can help the industry shorten the design-to-market cycle and deliver better electronics. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2022 | Dr. Sarraf Shirazi proposed a 3-layer model for two-phase solid-liquid flow covering wide ranges of regimes, flow and geometrical parameters. He developed a fluid mechanics framework to explain the gravel packing operation. He also developed a machine learning pipeline to predict the slurry flow outcome based on the flow regime and behavior. | Doctor of Philosophy in Mechanical Engineering (PhD) |
| 2022 | Dr. Fong studied tools for educational video and how to improve them. He examined the types of analytics that instructors wanted in order to better engage and assess students, and ways to best support students and their study habits, In particular, he studied viewing patterns, video search techniques, and video annotation. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2022 | Dr. Holanda accelerated the process of designing machine learning hardware systems by better understanding how those systems learn and how they behave when they fail. The design process enabled by Dr. Holanda's work illuminates the path towards making the development of those systems significantly faster, economical, and environmentally friendly. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |