Evaluating Latency in Virtual Production Pipelines with Integrated Prediction Model for Motion Capture Data

Virtual Production (VP) is seeing a dramatic spike in interest and adaptation as the global film industry, particularly Hollywood, has been shutdown due to Covid-19. Virtual production is a broad term referring to a spectrum of computer-aided production and visualization filmmaking methods, and is also being used for broader applications from animation to industrial visualization. […]

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Optimizing Machine Learning to Increase Relevance in Photo Selection for Private School-Based Social Media

Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations […]

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Data Visualization of GIS Data at Scale

Access to private or leased land is currently not a simple problem. Landowners would like to know who is on their land, when, and for what purpose. Getting permissions from landowners is often not a straightforward task which often leads to obtaining permission being bypassed. Some landowners do not want hunters, but do not mind […]

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Optimizing Pretrained Clinical Embeddings for Automatic COVID-related ICD Coding

We are building a machine learning algorithm to be able to better understand the unstructured clinical notes that doctors write about patients. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how they are improving over time.

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Security Analysis of POLARIS

Blockchain and distributed ledger technologies provide networks a method to ensure trust in the network while not relying on a central authority, or even any individual node in the network. Moreover, these technologies enable secure transaction and recording keeping within the network by using distributed consensus to verify the actions of users and cryptographically linking […]

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Whales from Space: Surveying Baleen Whales in the Gulf of St. Lawrence using VHR Satellite Imagery

Ship strikes and fishing gear entanglement in particular have put right whales at risk of extinction with approximately 400 of this species remaining. Monitoring the remaining whale requires reliable detection of whales over large spatial scales. Traditionally, whale population size and distribution are estimated using trained experts on survey boats and planes. This project will […]

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Interpretable Machine Learning for Predictive Analytics in Employee Benefits Insurance

In recent years, many machine learning methods have been developed for predictive analytics and automated decision making. However, the lack of explanation resulted in both practical and ethical issues. In this project, we will employ and advance interpretable machine learning methods for various predictive analytics tasks in employee benefit insurance. The proposed methods can be […]

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Design of Reliable Resource Management Solutions in Cloud Environments for Medical Analytics and Beyond

While cloud-based medical analytics is important for facilitating efficient, patient-centric smart healthcare services, the reliability of the cloud is often under question because of many cloud failures and outages. In this project, how to reliably assign the resources and tasks to the cloud through virtual machine and medical service migration will be investigated, modeled, and […]

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Using a mobile application to support at-risk student re-entry into post-secondary education in the era of COVID-19

The aim of this 2-year project is to do research to inform the development of, and fully test and develop a mobile application designed to improve the experience of (particularly at-risk) post-secondary (PSE) students in addressing COVID-19-related issues. Our key concern is that COVID-19 has not only disrupted important and significant developmental experiences that improve […]

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Automatic Question-Answer Generation from Educational Texts

As online educational platforms and blogs such as Coursera, Edublog, Korbit Technologies Inc. etc. are becoming increasingly popular, a great way for students to learn is to solve QA problems on educational texts. Students also learn by getting answers to their questions. Since manual QA generation of huge content of educational texts seems impracticable, an […]

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