ESROP – Osaka – Systems Optimization and Decision Making

This project will investigate new methods for improving decision-making tools that help organizations make better choices when faced with uncertainty. Specifically, we will study how to more accurately estimate weights in the Analytic Hierarchy Process (AHP), a common tool used for Multi-Criteria Decision Making (MCDM). By focusing on interval and fuzzy weight estimation, the project […]

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The development of self-powered wearable biosensors

The proposed project aims to develop a wearable biosensor for real-time monitoring of critical cardiovascular disease (CVD) biomarkers, such as C-reactive protein, Troponin I, and Myoglobin, along with physiological parameters like heart rate. The biosensor will achieve high selectivity and durability by utilizing molecularly imprinted polymer (MIP) technology. The intern will collaborate with Professor Joseph […]

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AIDOX – Intelligent Document Processing

Scotiabank’s Global AI & ML (GAIML) – Intelligent Document Processing (IDP) Team has built AIDOX, an AI-powered document understanding platform that processes thousands of emails and documents daily. The current system uses fine-tuned language models for tasks like document classification, OCR, key data extraction, and entity resolution. However, the increasing complexity of financial documents requires […]

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Meningioma Quality of Life (QOL) Validation Study

Meningiomas represent the most common type of brain tumours arising from the brain itself, accounting for about 30% of cases. Effective treatments like surgery and radiation exist, yet patients may continue to suffer from symptoms that lower their quality of life (QOL). Currently used tools for measuring QOL are not specific to the unique needs […]

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ESROP – Osaka University – Developing a Robot Manipulator to Cut Plant Leaves for Agricultural Research

This project focuses on developing a robotic arm manipulator capable of accurately cutting plant leaves for genetic analysis, improving the efficiency and precision of agricultural plant research. In current studies, researchers must manually cut leaves from hundreds of plants, a time-consuming process that introduces inconsistencies due to varying plant conditions over time. Automating this task […]

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Impact Assessment of Predictive Capabilities

Comprehensive Healthcare at Home (CHAH Technology) is a Toronto-based health-tech startup leveraging AI to enhance home-based healthcare. The company develops predictive models that monitor patient health, detect early warning signs, and facilitate timely interventions to prevent hospitalizations. The healthcare system in Canada faces growing challenges due to an aging population and high public healthcare costs. […]

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Deep Learning-Enabled 3D Fluorescence Imaging for Cancer Surgery

The Princess Margaret Cancer Centre, part of the University Health Network (UHN), is Canada’s largest cancer hospital and one of the top 5 cancer research centres in the world. This internship will take place in the Guided Therapeutics (GTx) lab, part of the cancer centre’s research institutes. The GTx lab is developing novel devices, algorithms, […]

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Technical product intern(s) working within cross-functional teams to commercialize AI-powered solutions (1)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. AltaML’s AI Lab […]

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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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