Industrial Safety Management using Control Theory and Machine Learning

Optimizing plant processes is of prime importance now more than ever. With stricter infrastructures being placed on safety, environmental effect, and corporate social responsibility, more complex systems that optimize these factors are needed. These complex systems with advanced algorithms are intended to further streamline the existing process while mitigating issues leading to a safer workplace, and environment, while creating cost savings potentially in the millions. Two of the biggest problems that are hindering this growth are process optimization and management of alarm systems.

Blockchain-based data integrity verification scheme for cloud storage

With the development of information technology, people's requirements for computing storage capacity are also increasing. And cloud storage is an important part of the system architecture for implementing cloud platform. Although many studies believe that cloud platforms provide a reliable and secure data storage center, the security problem is still the main problem in cloud storage. In particular, data integrity is a core security issue in reliable cloud storage. In traditional solutions, users need to rely on the third-party audit for data integrity verification.

Design of foot orthosis with customized variable stiffness structure using 3D printing techniques

There is a large need for custom orthotic insoles that meet user’s needs in terms of comfort, pressure distribution correction and impact absorption integrated a in more extensive and flexible way. The limited reliable control of these factors in current manufacturing processes has led to frequent orthotic adjustments, reduced device compliance, lowered effectiveness and increased time and expense from both the orthotic provider and the patient.

A community-based ethnography on multiculturalism in practice in a Canadian context

The objective of this proposed research is to examine how multiculturalism is experienced and practised in community by women from different cultural backgrounds. Drawing on everyday life stories created by the study participants, we aim to obtain empirical knowledge about impacting factors that positively influence immigrant integration and resettlement experience. Such knowledge will contribute to the construction of effective multicultural communities.

Modeling Dune Roughness in a Large Sand-bedded River - Year two

Dunes are common bed features in large sand-bedded rivers and are significant sources of in-channel roughness. Reliably estimating roughness is crucial for the prediction of flood flows, but roughness is crudely represented in hydraulic models widely used by environmental consultants and engineers. Roughness is treated as a calibration knob in these models, adjusted to force predicted water levels to match observations. This makes water level predictions during floods difficult, especially for flows beyond the range of previous observations.

A community-based approach to managing impacts in northwest BC

Long before hosting the second largest port in the Pacific, the territory around Prince Rupert, British Columbia, was home to the Metlakatla First Nation. Rich in resources and with a history of productive economic opportunities, this region has gone through many changes as a result of development projects and human activities, impacting not only the environment, but the wellbeing of the community.

British Columbia__Simon Fraser University

No additional funding contribution is required from the academic supervisor or university.
Fellowships will be awarded competitively.

Affordability Dashboard - Vancouver

The VEC, under its Economic Transformation Lab and in partnership with SFU and MITACS, seeks to research, design, and publish an affordability dashboard that consolidates all important metrics/statistics on affordability, relevant to Vancouver businesses and talent. The Dashboard will not only focus on affordability of office, retail, and industrial space, as well as other pertinent business operation affordability metrics, but will also contain affordability metrics that inform businesses of the cost of living for their talent.

Development of an IoT-based sleep monitoring system for optimal sleep quality

The proposed project will develop a system that combines ambient environmental sensors with sleep detection methods to measure sleep quality and allow the user to improve their focus during activities of their daily lives. Observing sleep patterns through all the stages of sleep to model the users body clock and quality of sleep. In addition, using environmental sensors to help users identify optimal sleeping conditions. This will be done by developing an algorithm that will estimate sleeping patterns with environmental sensors and produce a report to optimize their sleep.

Exploring neuroimaging methods to assess the effects of music therapy

The objective of this project is to research new technologies and methods to help in the assessment and functional imaging of neuroplasticity related to music therapy. The approach utilizes key novel technologies being researched in partnership with Dr. Ryan D’Arcy.