Optimized DAP Placement and WiMAX Planning for Smart Grid

Smart grid aims at improving the power grid performance, security and reliability through monitoring, controlling and protecting the grid dynamically. As communication infrastructure and technologies provide two-way data communication between grid endpoints, they are the key enablers for smart grid realization. WiMAX and 802.15.4g is among the dominant considered communication technologies for smart grid implementation. […]

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TRLUP – Smart Vibration Sensing for Appliance Monitoring and Predictive Maintenance

This project will advance a classroom prototype called Laundri-Buddi toward a market-ready product. Laundri-Buddi is a smart, battery-powered sensor that uses vibration sensing to monitor the activity of appliances such as washing machines, dryers, and small industrial equipment. The device detects when a machine’s operational cycle starts and ends, and wirelessly sends that information to […]

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TRLUP Allergen Detection App

For many Canadians with food allergies, knowing what is in their food is important. This project helps by creating an allergen detection app that can process a picture of a product’s ingredient list from the package and then checks for known allergens. The impact of this project is helping tens if not hundreds of thousands […]

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Developing Magnetic Field Maps to Enable the Effective Use of Quantum Magnetometers as a Supplement to Conventional Sensors

This project explores how quantum magnetometers—highly sensitive sensors that detect variations in the Earth’s magnetic field—can enhance positioning systems in urban environments where GPS signals are weak or obstructed. The research involves collecting magnetic field data across selected city areas to create detailed magnetic field maps. These maps will help determine how stable and reliable […]

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Enhancing Privacy Against Surveillance and Censorship in Future Internet Architectures

The dramatic growth of the Internet has enhanced access to information, fostering seamless communication and promoting effective collaboration. Unfortunately, advanced network traffic control and monitoring systems have empowered state-level actors to deploy large-scale surveillance and censorship mechanisms that track people’s Internet activities or limit their ability to freely access and publish information. Recently, multiple initiatives […]

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Implementing a Computer Vision-based Collision Avoidance System for a Collaborative Surgical Assistant Robot

This project aims to enhance the safety, precision, and efficiency of robotic surgical assistants — collaborative robots designed to work alongside surgeons — by developing a computer vision-based system that prevents collisions in real time. Using cameras and advanced image processing techniques, the system will monitor the operating room, detecting people and other obstacles. It […]

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ESROP – KMUTT – Time series Data Modeling and Analysis with a focus on financial data

This project focuses on improving transformer-based models for quantitative finance (QFin) by addressing key limitations such as inadequate long-term memory, lack of sentiment analysis, and difficulties in handling multimodal data. While transformers have achieved breakthroughs in fields like protein folding and natural language processing, their application in finance still faces challenges. Existing financial transformers struggle […]

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ESROP – KMUTT – Context Aware AI Music Therapist for Elderly with Neurodegenerative Diseases

Neurodegenerative diseases like Alzheimer’s and Parkinson’s cause cognitive decline, motor impairment, and emotional distress. While pharmacological treatments exist, music therapy has shown promise in alleviating symptoms. This project enhances music therapy using AI, making interventions more accessible and personalized. This project aim to develop an AI-powered wearable system that personalizes music therapy based on emotional […]

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L2M – Mector (A supportive memory solution for dementia patients)

Mector is a user-friendly communication system designed to support seniors with dementia, helping them live independently at home while providing peace of mind to their family caregivers. Dementia often poses significant daily challenges, leaving family members feeling stressed and concerned about their loved one’s safety and well-being, especially when they are alone. Mector addresses these […]

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L2M QC Spring 2025 | Social Worker Safety and Reporting Application – SafeSocial

SafeSocial is a mobile and web application designed to improve the safety and efficiency of social workers during home visits. By providing real-time monitoring, emergency response, and AI-powered incident reporting, the app helps social workers feel more secure and supported in the field. Key features include a panic button, live location tracking, risk assessments, and […]

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L2M QC Spring 2025 | Robust THz technology for efficient and secured data exchange

The surge in data driven by economic expansion has increased the demand for fast, reliable internet. However, existing technologies struggle to keep up, causing video buffering, game lag, and slow file transfers. At the same time, rising cyber threats make data security a top concern, with high-profile breaches compromising millions of users and causing financial […]

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