Reduction of Software Rework Through the Mitigation of Cognitive Biases

The proposed work will lead to mechanisms for reducing the negative effects of Cognitive Biases – automatic, unconscious elements of the human reasoning system known to cause decision errors. While the outcomes of Cognitive Biases have been studied for decades, there has been almost no research into how to reduce or eliminate their negative effects. […]

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5G-ELITE: AI-driven 5G Network Slice Operations & Management

5G mobile networks will support a wide range of services beyond traditional voice and data services, such as augmented/virtual reality, autonomous vehicle control, and smart cities, which will open new revenue streams for the mobile network operators. Network slicing is an enabling technology for partitioning the physical network into multiple network slices, each tailored to […]

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Enabling Transactive Energy Markets using Blockchain-Based Distributed Ledger Technologies

In this project, we propose the use of blockchains to provide reliability, security, and transparency for collecting and querying IoT data in the energy sector. In particular, we will implement and evaluate our blockchain solution for enabling transactions in local energy markets, where homeowners have the capacity to generate energy (through renewables), stock energy (through […]

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Virtual Hamilton

This research project entails the development and user study assessment of a prototype participatory urban planning tool for the City of Hamilton (Virtual Hamilton), which integrates GIS data with a 3D virtual city model to facilitate stakeholder visualization, collaboration, content contribution, and communication. In consultation with City of Hamilton ward councilors and urban renewal, planning […]

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Development of a subject-centered social media and network platform

Developing subject-based social media requires proper interaction with the users by learning and analyzing their profile and dynamically incorporating their opinion. In this project, a crowd-based profiling of users with respect to their peers will be developed and confidence factor calculated based on the collective opinion of the crowd will be assigned to the individuals’ […]

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Duke Creative Collective Inc – Rillwan Shokunbi

Part A. Mapping Economic, social, and health ecosystem and agencies in Greater Saint John Project Outcomes: 1. Understand the interdependencies amongst the actors and the customers they serve creating awareness and transparency in the components of the larger system 2. Move from a linear approach to a systems perspective to assist in understanding who is […]

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Multi-modal learning of human pose representation for conditional motion synthesis

The goal of the project is to generate realistic human movement in 3D animations. This is important to make movement animations in games and movies appear real. Typically, creating high quality animations is a resource and time consuming process that requires the participation of human actors in motion capture sessions. In this work, we present […]

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Improving Monitoring and Decision-making with Uncertain Sensor Data

Terrestrial contaminated sites – such as abandoned oilfields, chemical spill sites, or former industrial zones – are a major environmental problem in Canada and around the world. Environmental Material Science has created new environmental monitoring equipment that generates high-resolution spatially and temporally explicit data on environmental quality. The data must be visualized and then used […]

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Prediction of biological age based on DNA-Methylation patterns

DNA methylation is a biological process that involves the chemical modification of DNA with methyl groups at specific regions of a chromosome. DNA methylation and demethylation change the processes associated with turning on and off genes. Changes in DNA methylation patterns can be influences by environmental forces which are recorded at the molecular level and […]

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