Quantifying the Computation Power and Transaction Latency of Pool Mining in Cryptocurrency Networks

In this project, using such mainstream cryptocurrencies as BitCoin and Ethereum as representatives, the intern will analyze the transaction collection strategies of their mining pools, and then collect transactions and the corresponding blocks data to build a large dataset, from which the computing power of different mining pools and their proportions will be analyzed, together […]

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Up-res Deformation Field Learning for Highly Detailed Data-driven Liquids

The objective of the proposed project is to procedurally increase the visible resolution of a coarse liquid simulation within a machine learning pipeline for the visual effects (VFX) industry. We introduce an optical flow-based learning approach to model the deformations between a coarse input liquid simulation and its equivalent at a higher resolution. The deformation […]

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Safe Harbour for Military, Veteran and Family Health Research Data

The Canadian Institute for Military and Veteran Health Research (CIMVHR), affiliated research partners at universities across Canada, and IBM Canada Ltd. have identified a significant and universal issue facing health researchers that applies to Canadian military, Veteran and family health (MVFH) research and health research for the Canadian population at large. Comprehensive and complete medical […]

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Translational Research in Visual Analytics for Personalized Health

Personalized health is increasingly gaining public attention in the media as the future of healthcare. Personalized health is the idea that medical treatment will be tailored to the individual based on their predicted response or risks of disease. Omics analysis, defined as the universal detection of different classes of biological molecules, has the potential to […]

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A reinforcement learning approach to establishing a Q&A symptom checker to evolve the performance of the visual diagnosis system for dermatological diseases

The partner is creating artificial intelligence which can help diagnose over 1,300 skin conditions with dermatologist-level accuracy. They are focused on building the functionality that is to be deployed through their app and web-interface that makes it possible to snap a photo, ask questions, and get an instant diagnosis. The partner is very focused on […]

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Mobile Analytics Interface for an Ocean Vessel Profiling Device

The goal of this project is to design and implement a mobile “dashboard” interface for an ocean vessel profiling device that captures speed, location, torque, and other data relevant to ship powering measurement and prediction. The interface will provide real-time visualizations that a pilot, engineer, or scientist can use to monitor the impact of ship […]

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System-Level Performance Analysis of Shared Relaying Architecture withRealistic Channel Modeling

Future wireless networks call for seamless coverage and higher data rates at low infrastructure cost. Cooperative relaying strategies are among the most promising of future technological solutions toward achieving this goal. The proposed research project intends to evaluate the system-level performance of a specific relaying architecture called the shared relaying network. To quantify the benefit […]

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Interoperative Performance Measurement of Surgeons using Deep Learning

Surgery is undoubtedly one of the most important events in a person’s life. It is thus imperative that a feedback system is in place to ensure that proper care is provided to patients during surgery. Currently, such systems involve experienced surgeons watching hours of surgery to determine how well the surgery was performed based on […]

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Open-domain Contextual Conversation Generation

The objective of the project is to design a system that is able to generate context-wise reasonable and meaningful responses to open-domain conversation queries. In open-domain conversation generation, the retrieval-based methods and neural network generative models are two main approaches; there are also some recent research about improving the context consistency of conversation generation. In […]

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Using advanced analytics to develop a multimodal signature of concussion and post-concussive syndrome

Concussions are extremely common in deployment and in military and civilian activities (i.e. sports). Persisting symptoms that make up “post-concussive syndrome” (PCS) including headaches, balance difficulties, depression and anxiety can occur in 10-15% of cases. The diagnosis of concussion and PCS is currently based on a patient’s report of their symptoms and a physical exam. […]

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Communicating Credentials: Building blockchain solutions for university degree verification

Document fraud is increasing and undermining the integrity of high quality education in Canada. With over 100,000 fake diplomas sold in the USA every year and legitimate universities incurring significant expenses protecting their intellectual property rights together with negative reputational spill-overs for legitimate universities, blockchain-based platforms, a technology in which transactions that are agreed to […]

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Théorie PAC-Bayésienne pour l’apprentissage de réseaux de neurones profonds

De nos jours, l’analyse des données est au coeur de plusieurs nouvelles technologies, surtout avec l’arrivée de l’ère du « big data » et l’essor du « deep learning ». En effet, les réseaux de neurones profonds appliqués à des données massives révolutionnent certains domaines comme la vision, le traitement de la langue naturelle et […]

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