The major focus of this proposal is to perform preclinical studies to support clinical development of a novel inhibitor for treatment of different caners such as breast, lung, colorectal and kidney. We have recently developed a novel therapeutic protein that selectively inhibits multiple pathways for treatment of advanced prostate cancer. A goal of this project […]

The proposed research project targets anomaly detection of event data. The project has a duration of six months and aims to achieve two objectives: (1) to evaluate the effectiveness of a novel approach for real-world data, and (2) compare it to alternative methods. The intern will use existing research resources, and will apply them to […]

Mitigating the corrosion of reinforcement in RC structures is a critical issue for Canada’s civil infrastructure, especially with the continual use of deicing salts during winter. This pilot study will provide crucial information on the functional range of resistivity of repair materials/concretes and anode spacing, which will optimize the efficiency of an economical technology (zinc […]

Plusieurs entreprises ont un intérêt pour intégrer l’écoconception à leur processus de développement de produits. Cependant, peu d’outils sont disponibles pour obtenir l’impact environnemental d’une décision au cours de ce processus. N’ayant pas un portrait clair des enjeux environnementaux ces aspects sont difficilement des enjeux centraux dans la définition du produit. L’outil développé doit permettre […]

Enterprise Resource Planning (ERP) systems are used to store data records of activities underlying various business processes, from which Key Performance Indicators (KPI) are derived, providing visibility into the organization. How well the recorded information adheres to business processes and how well those are defined and implemented affect data quality, determining how KPIs accurately portray […]

We are conducting research on using techniques from Artificial Intelligence (specifically Machine Learning, Reinforcement learning, and computer vision) to automate the ability of a robotic arm equipped with a hand-like gripper to pick a wide variety of items. The robot uses the visual scene, provided through cameras, in order to choose which item to pick, […]

Machine learning is a discipline of teaching computers repeatable tasks that humans do well but slowly. At Interdata we are on a mission to use Artificial intelligence to understand the data being stored by organizations and the relationships between those data assets. As such Darrell will be working on methodologies and tools to expand our […]

Community leadership development and training programs must respond to changing corporate and public perceptions. There has been a lack of research on community leadership within small urban settings, where the impact that training and development programs have may be high. Our objective is to describe how local businesses in a small urban setting understand community […]

High Dynamic Range (HDR) content and displays are available on the market but the vast majority of the users displays are Standard Dynamic Range (SDR), not able to reproduce the enriched, higher quality and with more details HDR content. Thus, operators to compress the HDR content and make it ready to be able to be […]

The world has many ageing bridge structures which are being used well beyond their design service life time. It is of essential interest for the governments and public to insure safety and sustainability of bridges. One of the most advanced techniques used to investigate the conditions of bridges is the Structural Health Monitoring (SHM). The […]

With the onset of climate change, sea level rise is a major global concern including distinct local issues. This project looks at the extremely venerable coastal city/port city of Vancouver. Recent reports call for major infrastructure improvements primarily focused on engineering and not on spatial and design approaches to this challenge. Currently there is no […]

Mobile health (mHealth) strategies hold a great promise to enhance treatment outcomes while mitigating health care costs (Hayes et al., 2014). It allows health care providers to tailor treatments to each individual based on their lifestyle. The primary objective is to involve COPD patients and their health care providers in the development of a mobile […]