This research focuses on the trade of Canadian wild foods, such as morel mushrooms, wild blueberries and fiddleheads. The major operational challenge in the sector is connecting remote, rural contexts of production with global, urban centres of consumption. A distributor’s competitive advantage rests on constant innovation of the informational, social and pricing techniques that motivate […]

Improving the design and operation of open pit mines by better understanding and modeling of spatial variation of rock mass properties, can bring economic benefits to the mining industry. The proposed research project aims to develop an innovative large-scale discrete fracture network (DFN) model that is spatially constrained based on the recorded fracture data from […]

One challenge to industry adoption of products and services based on Machine Learning and Artificial Intelligence is that their inner workings are often not discernable to human operators. When operators can’t reason about theit tools they tend to make poor decisions about how and when to rely on them. This ultimately limkitsthe effectiveness and efficiency […]

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and […]

Bioprocesses are indispensable for the sustainable production of high value chemical compounds from renewable feedstock. In many processes, genetically engineered strains with a modified metabolism are used. Boosting the performance of such a production host can be essential to make a bioprocess profitable. Computational strain design provides methods to identify interventions in the microbial metabolism […]

Mitochondria are critical producers of energy and are the platform for various metabolic reactions that support cellular health. Mitochondria suffer from a variety of damage as a consequence of housing these reactive pathways. In order for cells and organisms to survive this damage, dysfunctional mitochondria are removed from the cell in a process termed mitophagy. […]

The broad objective is to develop (or investigate the feasibility of developing) a prototype software module that can be used in one or more of goQ (Quillsoft Ltd .) software products for when a user initiates a word or phrasal lookup within some text. During reading or writing , the module provides contextually appropriate content […]

Every year in Canada over 1.7 million patients are diagnosed with Ulcerative Colitis (UC), and have to go through colonoscopy procedures multiple times for disease detection and treatment monitoring. Trained clinicians use endoscopy facilities and technologies for colonoscopy procedures and unfortunately, the current error rate in disease detection is up to 20%. This project will […]

Asian multinational corporations (MNCs) have been a primary driver of the world region’s economic rise. Their emergence brings fresh air and new challenges to the global economic order. Key to their success is a distinct form of business culture and organizational strategy, which the existing scholarship has yet to address. This project aims to develop […]

My research seeks to explore the history of dubbing or post-synchronization in Turkey, which from the 1940s on became one of the most recognizable features of the Turkish industry, characterizing both national and imported production. Post-synchronization of sound had been the standard practice in Turkish popular cinema until 1996; it was only then that shooting […]

Privacy and Security are key considerations in any machine learning system. The proposed research will develop net methods for preserving privacy when training data and/or model parameters are released in the public domain. We will use methods from information theory to develop quantitative measures for privacy and security in machine learning systems. Using this framework […]

Machine learning in large-scale Internet-of-Things (IoT) systems can bring overwhelming demand on the limited resource of IoT devices, e.g., simple cameras and ambient sensors. However, it can substantially benefit from the additional computation and communication resources provided by a new wireless computing framework called Mobile/multiaccess Edge Computing (MEC). In this project, we study machine learning […]