StomaVR: Educating Pre-Surgery Patients about Stoma Management in Virtual Reality

A stoma is a small, surgically created opening on the abdomen that is used to remove body waste into a collection bag. Stomas are common in procedures related to cancer, injury, and bowel and bladder issues. However, stoma operations introduce challenges. Patients often experience fear and anxiety prior to surgery, and must typically stay in […]

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Re:Rite: Make Your Move

Buffalo Buffalo is currently developing Re: Rite – Make Your Move, a competitive 1–4 player PvP evolution brawler where players begin as formless Sparks and battle their way to become towering Titans. Through fast-paced roguelite progression, players scramble for body parts, upgrades, and survival in chaotic arenas. What sets Re: Rite apart is its groundbreaking […]

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Development of a Production Schedule Application

Despite having world-class print technology, our current method for scheduling production jobs remains largely manual, using spreadsheets, verbal communication, and siloed documentation. This leads to inefficiencies in forecasting, lack of visibility across teams, missed opportunities for optimization, and inconsistent job tracking. With increasing job volumes and the complexity of multi-machine workflows, Marketing Kitchen needs a […]

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Exploring Uncertainties and Enhancing Reliability in Flight Booking Systems with NDC and Real-Time Data Integration

This project represents an initial exploration of the New Distribution Capability (NDC) standard and its potential for transforming flight booking systems. By integrating real-time flight data, the project aims to investigate the challenges, uncertainties, and opportunities associated with adopting NDC in travel agency workflows. Through a methodical approach, the initiative will identify critical barriers, evaluate […]

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Designing an AI solution for data analysis to improve the process of measuring thermal properties of materials: liquids, solids, powders and pastes

One of the busines processes of C-Therm Technologies is related to devices measuring thermal properties of materials: liquids, solids, powders and pastes. One part of the process is analyzing the data collected by the sensors. The project in this proposal will involve designing an AI solution for data analysis to improve the process of collected […]

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Hierarchical Knowledge Distillation and Pruning (HKDP) Framework for Secure and Sustainable Federated Learning

The Hierarchical Knowledge Distillation and Pruning (HKDP) framework project we propose addresses the growing demand for real-time data processing in cybersecurity applications. Traditional centralized machine learning approaches are hindered by high computational requirements and privacy concerns, but federated learning (FL) offers a solution by enabling decentralized model training, maintaining data privacy, reducing energy consumption, privacy, […]

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Developing Domain-Specific LLM-based Agents for Automated Model Generation and Autonomous Product Configuration at Ciena

This research project will leverage Large Language Models to automatically read and interpret network product documentations, generating structured information that can help automate the configuration of network products with minimal human effort. By automating these time-consuming tasks, the project aims to help engineers accelerate their product setup process, reduce the risk of manual errors, and […]

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Managing Powerline Distribution Networks: From Conventional Methods to Digital Twin

Electricity is a pivotal sector that prioritizes reliability and safety within power systems. Traditional power network monitoring evolved with integration of sensors and satellite/aerial imagery. Nevertheless, persistent threats due to unpredictable environment changes and suboptimal maintenance are causing power outages. Simultaneously, advancements in AI enabled comprehensive analysis of inspection data, yet current approaches struggle to […]

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Automated Cyber Threat Variants Generation

This project is meant to address one of the real-life challenges faced by network enterprises and telecom operators to maintain secure and reliable networks and systems. As a major player in 5G mobile networks and services, the partner organization will support the intern in his research by first, providing him with real-life challenges and industrial […]

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Advanced Spacecraft Detection on Low Power Compute Unit in Space

Obruta, in collaboration with Dalhousie University, aims to advance computer vision techniques for detecting and estimating the pose of spacecraft in space. While object detection in general has made significant strides, existing models often excel at identifying everyday objects but struggle with specialized tasks like spacecraft detection due to the unique and challenging environment of […]

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