Nonlinear quantum optical effects in freeform dielectric waveguides

Dielectric waveguides are key components of photonic integrated circuits (PIC) connecting platforms made of different materials. In this way it is possible to combine the complementary advantages of different integration platforms. The use of PIC allows the transmission of information signals imposed on optical wavelengths. The freeform dielectric waveguides also called photonic wire bonds are […]

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Development of a model-based approach to assess bioequivalence based on dermatopharmacokinetic data obtained from comparative studies on topical dermatological drug products

Market approval of generic products requires that such products are shown to have equivalent safety and efficacy as the innovator product currently on the market. In general, generic topical dermatological products require comparative clinical trials in patients which require a large number of patients, are expensive and lengthy. This has led to a shortage of […]

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Investigation of Recrystallization Inhibitory Effect of Terpolymer Nanoparticles in Ethylcellulose Membrane for Amorphous Solid Dispersions of Drugs with Low Solubility

Poor water-solubility limits the total use of the drug in the human body of many recently discovered drugs. Recently, Amorphous Solid Dispersion (ASD) technique is being used as an efficient way to enhance solubility of poorly soluble drugs which are prevalent in pharmaceutical industry while providing sustained release, however the instability of ASD may cause […]

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City of Toronto Heritage Census Project

The City of Toronto wishes to assemble a comprehensive set of available historical neighbourhood-scale Census data. While a wealth of historical Canadian Census data exist in the public domain, it is largely inaccessible to users who lack specialized training and skills due fragmentation of data holdings and their storage in different formats. Making use of […]

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Multimodal Representation Learning for Healthcare Data

The abundance of electronic health record (EHR) data has accelerated the adoption of data-driven methods to automate various tasks ranging from patient care to resource management in hospitals around the world. The use of specific types of data such as X-ray images, doctor’s note and others have been used individually to implement machine learning models […]

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Barrelfish: Smart recruiting solution using artificial intelligence

The proposed research would use AI to create an application called Barrelfish that will help in the recruitment process. The project focuses on lowering the time it takes to discover data, screen applicants, and retrieve recommendations. Clients will be able to select employees based on their skills, abilities, and experiences, as well as conduct virtual […]

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Exploring Deep Learning Models for Understanding Consumer Language

With the ultimate goal of enhancing Nexxt Intelligence’s market research SaaS platform, inca, this project will create a robust, scalable algorithm for clustering consumer utterances into groups which are useful to ad-hoc market research objectives, and interpretable via natural language descriptions to market researchers. Due to the multifaceted and nuanced nature of consumer opinions and […]

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Community Based Participatory Research Strategies for Combining Creativity with Sustainability in the Arts and Beyond

The proposed Creativity and Sustainability post-doctoral fellowship will be situated at Mass Culture (MC), and executed in cooperation with University of Toronto Scarborough’s (UTSC) Urban Just Transitions (UJT). Over the years, MC and the scholars involved in UJT have experimented with various forms of community-engaged methods in order to generate impactful research that will inform […]

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Automatic Optical Character Recognition Preprocessing for Custom Gameplay Text

Computer Games are one of the key use cases of graphics cards of AMD. To ensure highest quality and performance, extensive testing of graphics hardware and software is required. However, much of this gameplay testing is manual and requires significant efforts due to varying styles in games and their versions. In this context, an open […]

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Natural Language Processing for automatically checking novelty of ideas

XLScout uses Natural Language Processing (NLP), Machine Learning (ML), and Innovation/Scientific principles to deliver actionable intelligence and accelerate innovation by analyzing large patent and research databases. The company is eliminating the pain of manually going through document and quickly providing relevant information to support data-driven strategic decisions. Presently XLScout hosts a data vault of over […]

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