Machine Learning for categorizing women’s health risks

This research project deals with categorizing women belonging to different developing countries into different health risk segments and sub segments and subsequently analyze patterns of diseases/infections in various geographical regions accordingly by using Optimized machine learning approach. XgBoost algorithm would be implemented to achieve this goal among other existing algorithms as this offers better model […]

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Modeling foreign exchange

The proposed project addresses the main challenge in modeling long-dated (maturities of 30 years or more) foreign exchange (FX) interest rate (IR) hybrid derivatives, namely the strong sensitivity of the products to the skew of the FX volatility smiles via the use of a stochastic process, such as the Heston model. Numerical methods based on […]

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Securitized Tokens as a Service (STaaS)

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 […]

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Investigating the effect of a novel regularization technique for neural networks

Despite the fact that neural networks have been widely applied in practice, training such networks can suffer from slow convergence, poor local minima and some other difficulties such as catastrophic forgetting. Such shortcomings severely undermine the applicability and usefulness of neural networks. The objective of this project is to identify the reasons behind such difficulties […]

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Amazon Alexa for antibiotics interaction guidance system

Antibiotics are used to treat bacterial infections. Interactions between certain antibiotics and medicines may cause side-effects and decreased effectiveness of antibiotic therapy. Quite often, the prescription consists of multiple antibiotics to treat infections caused by different kinds of bacteria and it requires thorough knowledge of the interactions among these antibiotics and other medicines. For example […]

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Scalable User Interface Designs for Scheduling Software

Coconut Calendar provides an appointment scheduling software platform to customize the on-line customer booking experience for small home-based services-provider businesses, such as massage therapists, hair stylists, or home cleaners with only a few locations. Coconut Calendar is now expanding their business to larger clients with dozens or even thousands (e.g., IBM) of customers. The challenge […]

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Clinical Decision Support Software for Prediction of Postoperative Atrial Fibrillation Following Bypass Surgery

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, and […]

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Using Machine Learning to Classify and Access an Audio Database

Voices.com, the largest online marketplace of voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research will use machine learning to identify and train an NLP learnable parser. The second phase […]

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Advanced Data Science Research for Social Good II

Municipal governments and urban centres across Canada are being inundated with data—data that have potential to improve public service. Despite this, local governments do not have enough data expertise to extract insight from these overwhelming datasets. Simultaneously, high-quality personnel (HQP) in the domains of data science and urban analytics lack opportunities to work closely with […]

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Passages and A/V Performance

Passages and A/V Performances are two sets of art installations that will be prepared for a series of electronic art and music festivals in both the United States and Canada. Passages is the first in a series of installations surrounding Malcolm Levy (of Hybridity Media)’s Other Frames work, developing it in an interactive context.The second […]

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