L2M-User-preference based indoor path planning

While outdoor navigation systems like Google Maps have become highly advanced, finding efficient paths indoors such as inside hospitals, airports, or shopping malls remains a major challenge. Most existing indoor navigation tools are static, meaning they cannot adapt to real-time changes such as crowded areas or accessibility barriers. They also rarely account for the diverse […]

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Integrated Resource and Energy Recovery System from Organic Slurries.

This is the first time that leading edge technologies are being put together: a microwave (MW) treatment process, a struvite crystallizer and an anaerobic digester, as a total manure treatment system for typical dairy farm operations. The new 915 MHz microwave unit will provide efficient nutrient solubilization and the resulting solution is suitable for generating […]

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Medium-scale stack testing to advance redox flow battery innovation

Researchers at the University of Waterloo are partnering with VanadiumCorp, Administration Gilles R. Dupuis Inc, and NanoNife to evaluate the performance of a redox flow battery stack prototype (9 cells, 9 × 500 cm²) developed by Administration Gilles R. Dupuis Inc and NanoNife. VanadiumCorp will supply the vanadium-based electrolyte, which will undergo conductivity optimization prior […]

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High performance engineered biocomposites for automotive sector

The proposed project seeks to develop biocomposite technology and products for the auto manufacturing industries. Five graduate students under the supervision of Dr.Mohini Sain, will work on manufacturing processes, mechanical characterization, composite rheology and development of molds for various types of bio-composites which have direct application in auto-industries and can act as substitute for fossil […]

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Implémentation d’un pipeline TALN pour la structuration de textes cliniques par concepts médicaux normalisés (UMLS, SNOMED-CT-CA)

Le projet vise à développer une infrastructure capable d’exploiter les informations cliniques contenues dans les dossiers médicaux électroniques. Une grande partie des données médicales du Québec est consignée dans ces dossiers, mais les textes n’ont pas de structure précise et restent difficiles à exploiter automatiquement. Cette complexité peut ralentir la prise de décision médicale et […]

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Enzymatic hydrolysis of wheat straw derived xylo-oligomers stream into monomeric sugars

The proposed research project is around re conducting feasibility studies on the purification and conditioning of industrial hemicellulosic C5 sugars from a number of potentially commercial wheat straw liquor fractions. The research will propose experiments where data for the ultimate evaluation of enzymatic hydrolysis vs. a selected comparative list of acid hydrolysis can be included. […]

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Development of an Actigraph System for Sleep-Wake Identification

The main obj ective of this project is to design a proper algoritlun for analyzing COPD patient’s sleep data as an important feature in patients treatment procedure. The data would be gathered by a novel wrist wearable actigraph with high accuracy technology. The wearable wristactigraph will allow more reliable data collection because the subjects can […]

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L2M – AI Powered Seed Analysis

As part of the Lab2Market program, this project explores the commercialization potential of the group’s previous research pertaining to the use of computer vision, artificial intelligence and machine learning to precisely detect and identify seeds. Over the 4-month duration of the project, the team will participate in Lab2Market workshops, panels, and lectures from successful founders […]

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AI based Animal Behavior Recognition: Dog Pose and Labeling

This project will develop a real-time Artificial Intelligence based system that accurately estimates 3D skeletal pose from monocular video of dogs and reliably classifies fundamental behaviors to support veterinary health monitoring and behavioral assessment applications. Recent research has demonstrated significant progress in automated animal behavior recognition. The intersection of computer vision, animal behavior analysis, and […]

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Linguistic Cues for the Extraction and Synthesis of Speech in Extreme Noise

Malaspina Labs Inc. develops algorithms for enhancing speech in extremely noisy audio signals for real-time applications such as hearing aids and mobile devices. Many classical approaches to speech enhancement are not applicable to these domains because of severe hardware and psychoacoustics constraints such as far-field, single microphone use cases (no beamforming),

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Security Investigation and Solutions to Online Advertising Fraud Problems

The market share of online advertising, also known as Internet advertising, has been increasing dramatically in recent years. On the other hand, malicious behaviors, such as click fraud, have degraded the effectiveness of online advertising. Via fraud clicks, a considerable amount of revenues have been lost to fraud conductors. For instance, based on a report […]

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Improving efficiency and complexity of reporting for epidemiological insights and disease trends

Globally, there have been challenges in pulling together data, analyses, epidemiological insights, and unusual infection disease trends into comprehensive and regular reporting, that support pharmaceutical and life sciences organizations with timely intelligence for decision making. BlueDot has the knowledge and expertise to bring together these insights in a highly visual, easily understandable regular reporting format, […]

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