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 |
|---|---|---|
| 2020 | Dr. Cui developed comprehensive approaches to interpreting deep learning models in visual understanding. These approaches provide explanations from diverse aspects for the black-box deep learning models. His work will help build trust in end-users for those deep models and contribute to the model deployment. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2020 | Dr. Ren proposed architectural supports for efficient synchronizations in both single-Graphics Processing Units and multi-GPU systems. His work can simplify GPU programming, increase performance, and extend hardware scalability to large-scale systems, thereby attracting more programmers and extending GPU to a wider range of application domains. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2020 | Dr. Talebian developed a comprehensive cost optimization model to design a hydrogen fueling supply chain for British Columbia. Her work is the first contribution in assessing the incentive effectiveness and emissions mitigation policies for the accelerated adoption of low-carbon hydrogen in the transportation sector. | Doctor of Philosophy in Mechanical Engineering (PhD) |
| 2020 | Dr. Rashtian worked on data prioritization when constraints prevent from collecting data from every source. He developed reinforcement learning methods to derive decision policies for data collection. His work provides benefits for large-scale machine learning pipelines in industrial applications such as the Internet of Things and social media. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2020 | Dr. Yang studied the fundamental aspects of soil liquefaction on the grain-scale level. He developed a state-of-the-art practical model to simulate the cyclic response of sands. His research contributes to the high-fidelity modeling of civil infrastructure problems involving earthquake-induced cyclic liquefaction. | Doctor of Philosophy in Civil Engineering (PhD) |
| 2020 | Dr. Kwon examined how characteristics in outpatients with atrial fibrillation, a type of irregular heartbeat, could be used to inform tailored interventions and patient education strategies. He revealed that rather than conforming to a single uniform pathway, patients could be statistically sorted and classified into distinct health trajectories. | Doctor of Philosophy in Nursing (PhD) |
| 2020 | Dr. Mehrtash developed computer algorithms to assist doctors and improve outcomes for patients undergoing image-guided procedures. He devised novel machine learning methods for improving prostate cancer diagnosis and interventions. His work led to the development of new methods for uncertainty estimation in clinical decision-making systems. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2020 | Dr. Luo developed an image sensor chip capable of per-pixel coded exposure for emerging machine vision applications. He subsequently applied his image sensor design in a portable AI camera to produce high-speed video, high dynamic range photos, and 3D depth maps with a single image capture. | Doctor of Philosophy in Electrical and Computer Engineering (PhD) |
| 2020 | Dr. Hamid studied the transformation of fluorotelomer compounds by bacterial communities and in presence of sunlight. These compounds are widely used for waterproofing consumer products and packaging. Her research provides a better understanding of their fate in the environment, allowing more realistic risk assessment and mitigation strategies. | Doctor of Philosophy in Civil Engineering (PhD) |
| 2020 | Dr. Rasouli prepared a synthetic inorganic ion exchanger for removal of toxic selenate from wastewaters. The goal of this study is to create a novel technology to prevent selenate release into the environment and to protect aquatic life. | Doctor of Philosophy in Materials Engineering (PhD) |