This research aims to develop a system that generates explainable recommendations. Mobio currently allows merchants to offer items to users, but does not employ recent advances in recommender systems. This project will allow Mobio to build on the expertise of Dr. Chiang in related relational learning problems to create such a system, and provide a […]

  During this Mitacs project, our goal is to investigate how effectively Optemo can extend the intelligent that is built upon the retailer’s business intelligence as well as aggregated and in-session experience to the product detail page. To achieve this goal different approaches that are proposed in the literature will be implemented and tested. The […]

PDFTron Systems Inc. specializes in PDF, SVG, XPS and other graphics technologies. As a leading global provider of cross-platform, high-performance products, it has helped customers worldwide from different disciplines. Based on the success of its product – PDFNet SDK on desktops, PDFTron is motivated to expand their technology to a fast-growing market – hand-held touch […]

Dexterity Consulting is a company that aims to maximize the impact of donors’ donations to charities. Dexterity Consulting offers a service to match donors to charities, based on the alignment of the donors’ preferences and the charities goals. This matching process is currently being done manually by an expert in the field, working at Dexterity […]

  I have recently developed a piece of software that can be used to interpret the effects of DNA sequence differences in human genomes. The analysis produces results that predict disease mutations. Dr. Rogan’s laboratory has developed approaches of visualizing DNA sequence data, which I will incorporate into this software. I will modify the existing […]

  The problem of accurately predicting the onset of sustained postoperative atrial fibrillation (AF) in patients undergoing coronary artery bypass grafting (CABG) remains open. Investigators have reported many clinical indices currently associated with postoperative AF following CABG. Contemporary machine learning techniques are well-suited to recognizing underlying trends in 'training' data consisting of several labeled examples, […]

  Despite the change in usage and application (“Barcode Scanning Hits Some Big Milestones,” 2011), QR codes have kept the initial appearance. Black blocks in a square format still represent QR codes. This project, QR Artist, proposes humanizing these codes by inventing a framework that creates artistic QR codes and provides marketing analysis tools and […]

  The high throughput sequencing (HTS) platforms generate unprecedented amounts of data that introduce challenges in computational infrastructure. Data management, storage, and analysis become a major logistical undertaking for those adopting the new platforms. The requirement of large investments for this purpose almost signaled the end of the Sequence Read Archive hosted at the NCBI, […]

  Molecular profiles of tumour samples have been widely and successfully used for classification problems. A number of algorithms have been proposed to predict classes of tumor samples based on expression profiles with relatively high performance. However, prediction of response to cancer treatment has proved to be more challenging and novel approaches with improved generalizability […]

  The objective of this project is to conduct research on the multi-platform supported Locator device by investigating an easy-to-port and extendible design to migrate a Locator firmware offered by WebTech Wireless Company on alternative operating systems with more advanced features. The locator firmware is currently run on the FreeRTOS operating system, which is known […]

Financial markets today are monitored and controlled by machine learning algorithms. The primary objective of this project is to further develop the algorithm for financial market analysis and prediction that the partner possesses at the moment. The algorithm currently demonstrates high accuracy, subject to certain constraints, among which: a small time interval between a prediction […]

  Smart Phones are fast becoming ever-present personal assistants – personal assistants which become more useful and productive with the inclusion of Natural Language Processing power. For many users, smart phones have become their go-to device for industry news feeds, checking email, and scheduling their agenda. The sheer quantity of text which is read on […]