Applications of ML/AI in Asset Management - part 1

ML/AI is widely used and deployed in many industries. Its deployment in Asset Management industry (and especially in Canadian pension fund sector) is significantly behind. Part of it is the fear of “black box” and what recommendation it gives. This sentiment is outdated as the recent advancements in ML/AI allow looking inside the “black box and thus focus on “white box” asset allocation recommendations.
Another reason is that asset management these days is the intersection of three disciplines: Financial Economics, Statistics, and Computer Science.

Psilocybin as a potential treatment for social behavior (SB) disorders

Impaired empathy and social skills lead to severe social consequences and influence the development and treatment of several psychiatric disorders. Furthermore, empathy has been shown to play a crucial role in moral and prosocial behavior. Recently, a revamped interest for psychedelic compounds has invested the medical research community. For instance, psilocybin is a psychedelic compound which has been demonstrated to safely relieve depression in treatment-resistant depressive patients when used in a controlled setting.

Study of the synergistic effects of fatigue and corrosion in CA6NM steels and welds for hydraulic turbine applications

In this project we propose to evaluate the synergistic effects of fatigue and corrosion to further understand the degradation mechanism of the alloys used by our partner. This will help the partner defining their total cost of ownership & develop mitigating corrosion strategies to ensure long term sustainability of their infrastructure.

Battery Management System for Lithium Polymer and Solid-State Batteries

Energy storage systems (ESS) are vital components in the power grid to ensure the reliable performance of the power grid integrated a considerable amount of renewable energy resources (DER). ESSs are employed to compensate for the unexpected changes in DERs and shift load during peak hours. ESSs are complex structures consisting of several series and parallel connected battery cells. Battery cells may have different characteristics due to the ambient temperature and aging differences. As a result, the operation limits of each battery cell vary.

Deep Learning for Automatic Melody Harmonization

Beginner music composers often face difficulty in harmonizing a melodic idea. Particularly, if they lack music theoretical knowledge. It is well-understood that chord successions follow patterns. With some limitations, artificial intelligence algorithms can capture those patterns. A melody “harmonizer” model proposes harmonizations for the user’s melodies. The suggestions are often based on learned patterns from existing musical compositions, for example, the chorales by J. S. Bach. A model may learn patterns found in Bach’s compositions, applying them in new music.

Regional Risk Assessment of Underground Metro Infrastructure under Different Dynamic Loads

Underground metro infrastructures are subjected to different types of dynamic loads that would hinder their ability to function properly. This proposed research aims to assess the risks of city-scale underground tunnel networks under both periodic human-induced vibrations (i.e., blasting and drilling vibrations) and short-term extreme earthquake hazards. We will develop a GIS model for the tunnel soil/rock profiles in Montreal by synthesizing a comprehensive dataset for tunnel designs, embedment depths, and soil/rock properties from geotechnical surveys.

Assessing Regenerative Energy Technologies for Electric Vehicles

Electric vehicle (EV) is the future of sustainable transportation to phase out the reliance on petroleum fuels. Despite the multibillion-dollar market potential, wide deployment of EV is challenging due to limited energy storage. Regenerative energy generation can be implemented to compensate for the energy consumption in EV to provide the much-needed extra mileage. Apart from regenerative braking, other energy harvesting options such as solar panels, wind turbines, and vibration/shock energy harvesting have yet to be implemented at larger

The Sex-Specific Effects of Alternating Computer Work Postures in Young Adults

Adults exposed to extended periods of static seated computer work, especially females, have elevated risks of developping musculoskeletal symptoms. However, static standing work is also associated to issues with the musculoskeletal and vascular systems. To address this, alternating between seated and standing postures has been proposed in the form of sit-stand desks; however, their sex-specific impacts on biomechanical, performance and discomfort outcomes remain unclear. As a result, repeated measurements will be taken during a 90-minute computer task, involving both typing and mousing.

Evaluate the biodistribution of HyperMabs protein biologics therapeutics

HyperMabs is a biopharmaceutical company that designs and develops innovative therapeutics targeting lung diseases. HyperMabs is currently evaluating a drug candidate developed using in-silico methods to target lung disease. For this project, we aim to study the biodistribution of HyperMabs therapeutic, currently in its pre-clinical stage designed to treat several lung diseases. To achieve this, we wish to label the HyperMabs therapeutic with a labeling molecule to facilitate visualization of distribution of the therapeutic in lungs.

High heat flux microprocessor cooling using binary fluid mixtures

As the heat fluxes produced by modern high-performance microprocessors continue to rise, so too must the effectiveness of the removal of these fluxes. Accordingly, a large amount of research has focused on developing techniques to enhance cooling in computer systems. A novel method of doing so involves replacing the single-phase liquid or two phase-liquid vapor coolants typically employed in such systems with binary fluid mixtures.