L2M – NeviSight

NeviSight is an AI-powered platform that transforms retinal imaging into faster, more accurate, and more accessible eye disease detection. Designed as a decision-support tool, it aims to integrate seamlessly with existing fundus cameras and clinical workflows, providing clinicians with real-time lesion segmentation and risk insights. Our completed prototype combines a proprietary hybrid AI model with […]

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Development and Characterization of Zr-Doped Multifunctional High-Entropy Alloy Coatings

This project aims to develop multifunctional high-entropy alloy (HEA) coatings that protect industrial components from multiple types of damage at the same time, including erosion, corrosion, and hydrogen attack. Using laser-directed energy deposition (L-DED), the research will study how adding zirconium to AlCoCr2FeMo0.5Ni –Zrx changes the coating’s microstructure and improves its performance for real industrial […]

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NouLife: Synthesis of Linked Conjugates

In 2023, Innovotech acquired a 60% interest in NouLife Sciences Inc., a company that developed the intellectual property for the linking of two antioxidant molecules commonly used in skin care products – alpha lipoic acid and acetyl-L-carnitine – into one molecule. The linking of the two molecules has been indicated by NouLife to increase the […]

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Enabling Computer Supported Collaborative Learning (CSCL) Assistant to Access ChatbotLLM Service for Engaging in the Group Discussion with Students

A web system, Computer Supported Collaborative Learning (CSCL) Assistant that supports teachers to have their students grouped and work on tasks together via discussion, is currently used by a university. At this moment, CSCL Assistant uses chatbot to participate into a group discussion with the help of ChatGPT and Google Gemini. ChatbotLLM (https://chatbot.vipresearch.ca), is IEEE Northern […]

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Measurements using a setup to demonstrate the decoy-state approach.

The internship project, performed in collaboration with a theorist group at the University of Calgary, will demonstrate the decoy-state approach to analyze simple – but non-trivial – circuits with 2-3 inputs and outputs utilizing bulk photonics components. The intern will assist the team with building a setup and perform the measurements needed for the analysis. […]

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Harvesting hot carriers in heterojunctions of p-type semiconductors and plasmonic nanoparticles for green hydrogen production and utilization

This project aims to pursue alternate methods to generate green hydrogen that are less energy-intensive than existing approaches. Leveraging the fact that semiconductors generate electron-hole pairs when illuminated with light and this electron reduces proton (H+) from water to form hydrogen (H2), our goal is to use novel p-type semiconductors to produce green hydrogen, that […]

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Biological evaluation of a novel 1,4-diazine scaffold as potential neuraminidase inhibitors for anticancer and antimicrobial strategies

Development of novel pharmaceutical agents typically starts from an initial “hit” compound. These initial hits are then optimized using chemical synthesis and then tested for activity. Many active agents are designed based on known starting compounds. These previously identified compounds serve as a starting scaffold on which to make modifications that will improve activity. In […]

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Sex-specific single cell RNA-seq of ALS peripheral blood mononuclear cells

Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease that causes progressive loss of motor neurons, muscle weakness, paralysis, and eventual death. The disease affects males and females differently. A key feature of ALS is immune system dysfunction in the central nervous system (brain and spinal cord) and outside, in peripheral blood. This study aims […]

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From Agents to Teams: Optimizing the Creation of LLM-based Multi-Agent Systems

As multi-agent systems become more complex, improving how Large Language Model (LLM)-based agents work together is increasingly important. This research focuses on creating reusable design patterns and adaptive coordination strategies to boost collaboration and system performance. Blend360 is an AI service provider that builds advanced solutions for clients in sectors like finance, healthcare, and consumer […]

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Adaptive OCR for Structured Data Extraction in Technical PDF Documents

The proposed research project aims to digitize information currently locked in image-only PDF files, which are common in government and engineering sectors but are difficult to search and analyze. These documents, which often include technical drawings, forms, and reports, cause inefficiencies and errors due to the need for manual review. To address this, the project […]

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Physics-Informed Deep Learning Models for Radio Wave Propagation

This project brings together researchers from University College Dublin (Ireland) and the University of Alberta (Canada) to develop smarter ways of modeling radio wave propagation in railway environments. These models help improve wireless communication systems used in train and subway services. The project uses a combination of physics and artificial intelligence (AI), allowing faster and […]

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