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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. Farooq developed a system of sensors connected via the Internet of Things to detect flood damage at the bridges. His research would help prevent a catastrophic collapse of bridges, thereby saving lives and resources, and is a major step in safeguarding our infrastructure against the effects of climate change. | Doctor of Philosophy in Civil Engineering (PhD) |
| 2022 | Dr. Dashti examined how computer programs are affected when run on different types of heterogeneous hardware with complex memory hierarchies. He proposed solutions that alleviate performance degradation and discussed challenges for adapting applications to run on such complex systems. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2022 | Dr. Nasseri has developed new methods to facilitate 3-D microscopy of tumour organoids and make their use more feasible in cancer drug screening. He has also done several proof-of-concept studies using tumour organoids that make the case for using image-based microfluidic screening platforms for finding new cancer drugs. | Doctor of Philosophy in Biomedical Engineering (PhD) |
| 2022 | Dr. Deeba investigated Quantitative Ultrasound (QUS) based approaches for tissue characterization. Her research demonstrated that QUS measures obtained from the placenta could differentiate between normal and complicated pregnancies. The clinical translation of the findings will aid in the design of an effective pregnancy screening system. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2022 | Dr. Javadi worked on building a solution to improve the detection of prostate cancer using an ultrasound and machine-learning framework. Her approach allows this technology to identify clinically significant prostate cancer in real-time ultrasound. This is expected to positively benefit the lives of all patients suffering from prostate cancer. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2022 | Dr. Mehrabi investigated improvements to smartphone users' experience with authentication and access control. He conducted field studies, which advanced the scientific understanding of how and why users lock and share their phones. Subsequently, he developed guidelines for improving the design and user interface of the phones' security features. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2022 | Dr. Abdulai examined how sexual health-related stigma can be addressed in the context of digital health technologies.Using a trauma-informed care framework, he developed a set of destigmatizing design guidelines.His work provided a reference guide on how sexual health-related technologies can be designed to be trauma-informed and less stigmatizing. | Doctor of Philosophy in Nursing (PhD) |
| 2022 | Dr. Behnami developed machine learning methodologies to assist clinicians with early detection of heart disease through the automation of critical measurements from the heart ultrasound images. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2022 | Dr. Ghasemazar developed several methods to increase efficiency of computing systems and reduce data storage required by applications. This research enables applications to run faster and computers to consume less power. It also enables running and accelerating application in mobile devices with limited computation power. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2022 | Dr. Shao focused on machine learning applications in cancer research. She developed methods to reduce data heterogeneity, adopted multi-stain digital pathology in prostate cancer classification and risk stratification, and conducted breast cancer studies using shear-wave elastography. Her research points future directions for patient management. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |