EquitySoft Investments is a private wealth management firm in Vancouver BC specialized in developing and implementing proprietary machine-learning trading algorithms. Our Mitacs internship’s objective is to determine which machine learning model is best with which trading algorithm variant. By creating a genealogy (multi-dimensional Taxonomy) of pairs of machine learning model with trading algorithm variants, our […]

The aim of this project is to explore the automation of tree selection, which consist of selecting which trees to cut in a forest harvesting operation. When selecting a tree, one must consider multiple characteristic of the tree: its size, its position relative to other trees, its health and many other things. We begin this […]

This research study aims to investigate the potential and performance of a novel Securitized Tokens as a Service platform. Blockchain is the distributed ledger of verified transactions, and smart contract is the programmable part of the blockchain which can automate more complex transactions. We can define the tokens on top of the blockchain platform; and […]

Tracking humans in video can have a variety of applications including monitoring shoppers in stores, identifying suspicious activities in public spaces, and ensuring the security of senior home residents. Recent advances in video processing and hardware capability on computers have made it possible to track a single human in a video sequence in real time. […]

To communicate with their end users, businesses regularly produce written documents such as letters, notices, statements, etc.., in various languages. A set of rules are usually used to ensure that information in these documents is ‘correct’ and consistent across languages and communication channels. However, with the increasing volume and variety of information being sent out […]

Investors, regulators, and the general public consume a wealth of textual information every day. Recent advancements in artificial intelligence make machine-reading of textual information plausible. We tackle text mining of financial conference call transcripts—calls of significant corporate events that are widely followed by investors and institutional investors. Our conference calls data include over 200,000 calls […]

The objective of the HealthBX project is to research and develop advanced software engineering methods for the purpose of increasing the interoperability of different clinical health information systems used in the province of British Columbia (BC). BC clinics use a variety of different health information systems to maintain electronic patient data. However, the abilities for […]

The main objective and outcome of the proposed research project will try to develop a model that will be able to predict the water consumption level of users as well as the station. Deliverables of the project will be reports, presentation and a software solution that will include a model for the forecast of water […]

We are developing a wearable hardware sensor and analysis software. The sensor collects activity and performance data, which is then analyzed by software and used to present feedback that players and coaches can use to improve performance.

The project will examine the use of pictograms – like the simplified pictures that appear on information signage – and other visual symbols in an audio-visual strategy to facilitate and enhance the use and learning of English as an additional language for Arabic-speaking Syrian refugees. The software for the project is PictoPages, whose development was […]

Buildings represent up to 40% of primary energy consumption. To optimize that energy cost vs. the comfort of its occupants, Facility Management (FM) relies on data from sensors, and on automation, to increase efficiency. The majority of existing buildings however have limited automation, so it is up to Facility Managers to interpret and act upon […]

The goal of this research project is to develop novel techniques to solve different tasks for character animation using deep neural networks and generative modeling. Namely, we wish propose a novel approach for transitions generation, in which clips of character animation can be linked together with a novel clip. This transition will be generated by […]