Automatic transformation of API parameters

Shabodi designs software platforms to empower developers, engineers, and businesses to create and deploy high-performing, network-aware applications. This means that developers can create applications that are not confined to specific platforms or networks. One of the challenges Shabodi faces is the variety of APIs (Application Programming Interfaces) used by different software applications. An API is […]

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AI-Driven Platform for Streamlined Creation of Interactive Simulation Labs in STEM Education

This project aims to develop an interactive platform with AI capabilities to facilitate the creation of complex simulation labs for STEM education. The significance lies in enabling educators to design and deploy interactive lab environments efficiently, enhancing student engagement and understanding in STEM disciplines. The objectives include exploring generative AI models for lab creation, integrating […]

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Developing a prognostic model of freezing of gait in Parkinson’s disease

As you’re walking, suddenly, your feet become glued to the floor, unable to move. This is what people with Parkinson’s Disease (PD) often experience, a symptom called Freezing of Gait (FOG). Despite how common it is and its impact on daily life, finding effective treatments has been challenging because we don’t fully understand why it […]

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A hyperspectral image simulator to train AI processing systems

Hyperspectral imaging is among the most promising earth observation technologies today. Hyperspectral Imaging (HSI) from satellites and uncrewed aerial systems is now feasible and enables the monitoring of new earth systems at unprecedented spatio-temporal scales. Applications of HSI include agriculture, natural resources and environmental monitoring, to name a few. Simulation of the hyperspectral imaging process […]

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Suppression of self-biased phototransistor effect in InP-based photonic modulators

The project relates to a key electro-optic component used in optical modems that route internet traffic between cities, countries, and continents. These high-bandwidth long-haul systems are also being evaluated to solve the problem of moving data between data centers and even within data centers for high-bandwidth applications such as cloud services and artificial intelligence. The […]

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Continuum Health Ventures — Intern Funding Application

The primary aim of this project is to engage with the Canadian startup ecosystem by using advanced technologies to streamline the process of connecting startups with essential funding and resources for global expansion. The project focuses on developing AI tools to efficiently evaluate and filter startups for Continuum Health Ventures (CHV), reducing the time and […]

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Automatic Detection of Tool Wear in Machining Tools Using Deep Learning

The proposed research project aims to create an AI-based automatic system for monitoring and characterizing the condition of cutting tools by integrating robotic systems and smart cameras. This innovative approach addresses the limitations of traditional tool wear monitoring methods, which often lead to unnecessary costs and machine downtime. By developing advanced machine learning algorithms and […]

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Targeting mitochondrial quality control to improve muscle stem cell function and tissue regeneration

Dysfunction of mitochondria, the cellular powerhouses, plays an important role in a plethora human disorders, including rare genetic myopathies such as Duchenne Muscular Dystrophy (DMD). Mitochondrial dysfunction also causes stem cell abnormalities in several tissues including skeletal muscle. For this reason, modulation of mitochondrial quality is increasingly proposed as a therapeutic strategy to prevent/restore cellular […]

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Investigating apparent anomalies of light-matter interaction during laser-induced incandescence

Nanostructures are increasingly used for many purposes that include drug delivery, solar cell efficiency improvement, catalysts, and optical sensors. Accordingly, there has been a corresponding increase in demand for nanostructures, and a need for efficient manufacturing processes that can meet this demand. One such manufacturing process that has shown potential is gas-phase synthesis. Nanostructures can […]

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In-situ Investigation of MoS2 QDs Defects using Variable Temperature Raman Microscopy

Molybdenum disulfide (MoS2) Quantum Dots (QDs) are being developed for use in areas from optoelectronics to energy storage and conversion, but synthetic protocols have yet to be developed to prepare high quality 0-dimensional (0D) material. A key challenge in efforts to develop synthetic protocols is a lack of rapid characterization technique that can unambiguously identify […]

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