L2M – Automating Chromatography Process

Minerva Analytics Inc. is a technology startup focused on automating manual and repetitive processes in research laboratories. The goal is to free scientists from routine tasks so they can concentrate on complex analysis and innovation. Through AI-powered software tools, Minerva transforms traditional lab workflows—often reliant on manual data entry, disconnected spreadsheets, and inefficient communication—into streamlined, […]

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L2M – Commercialization of Fluroine-free Ultra Water-repellent Coating Technology

The main applicant is leading a research-based venture spun out of Simon Fraser University that has developed a patented, PFAS-free ultra water-repellent (superhydrophobic) nanocoating technology. Our technology offers a more environmentally-friendly alternative to incumbent water-repellent coatings. The current goal of the venture is to explore the best technology-market match to commercialize the technology. Key operation […]

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L2M – Selective PSRV for Methane Emission Reduction from Storage Tanks

This project aims to develop an innovative, low-cost technology to prevent methane leaks from oil storage tanks, addressing a significant source of greenhouse gas emissions. Traditional tank valves either release harmful gases into the air or are costly to operate. Our proposed solution is a specialized membrane valve that allows harmless gases, such as nitrogen […]

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L2M – AI-Guided Haptic Robotics for Scalable Surgical Skill Training

Surgical trainees, our primary users in medical schools and teaching hospitals, face a critical barrier: limited access to consistent, expert-guided, hands-on practice. This limitation originates from the constraints of the conventional surgical training model, which depends heavily on the physical presence of expert surgeons. To address this limitation, we are constructing a robot-assisted surgical training […]

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L2M – Cross-Modality Translation in Medical Imaging: Bridging Diagnostic Domains

Medical imaging is vital to modern healthcare, yet high costs and limited access slow patients’ paths to diagnosis. Radiologists often correlate imaging findings across multiple imaging modalities and sequences to arrive at a specific diagnosis, but each extra scan or sequence increases scanner time, healthcare costs, wait-list pressure, radiation for ionizing exams, and energy use. […]

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L2M – Road Ally

This project aims to strategically grow Road Ally, a new mobile app that connects drivers facing roadside emergencies with nearby helpers, offering a faster and community-based alternative to traditional services. The intern will conduct market research and develop data-driven strategies to attract more users and helpers, and explore new ways for the app to generate […]

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L2M – Augmented Reality-Enhanced Precision Robotic Manipulator Simulation and Training System

The global manufacturing sector is shifting towards high-mix, low-volume (HMLV) production. While large corporations can invest in advanced automation, Canada’s small and medium-sized enterprises (SMEs) face a significant “adoption chasm.” This gap is driven by prohibitive upfront capital costs for robotic systems, a critical lack of in-house programming and maintenance expertise, and the financial risk […]

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A novel scaffold for tympanic membrane repair

The ability to hear, and the quality of our hearing, depends on the health of the eardrum. Eardrum perforations due to diseases and accidents can be treated using grafts, such as autologous grafts, allografts and xenografts. These replacements suffer from various limitations such as donor site morbidity, long operation time and healing time, and risk […]

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L2M – Artificial Intelligence Enabled LED Lighting

Cities and lighting companies currently spend weeks and tens of thousands of dollars to create new plastic lenses every time a different streetlight beam is needed or when light pollution must be reduced. Our design is a simple film that sticks to the front of an LED and updates the light patterns quickly—no new lens […]

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L2M – AR-CAD: An Augmented Reality-based Computed Aided Design Tool

This project will advance the development of AR-CAD, an innovative augmented reality (AR) design tool that allows engineers to create and manipulate 3D models in real-world scale using a headset. Unlike traditional CAD tools that rely on 2D screens and complex interfaces, AR-CAD enables intuitive, hands-on design, helping users visualize and validate parts more quickly. […]

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L2M – Healthcare Systems Performance Optimization using Reinforcement Learning-Enhanced Functional Resonance Analysis Method

Healthcare systems operate as complex socio-technical environments, involving unpredictable interactions among patients, clinicians, technologies, administrators, and institutional policies. These systems are often under significant pressure to improve performance, reduce costs, and enhance patient safety—yet they frequently lack the tools to simulate the consequences of operational decisions before implementation. Traditional approaches like retrospective analysis or static […]

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