Efficient Data Representation for Wildfire Predictions

Wildfires continue to pose severe threats to ecological systems, communities, and economies worldwide. Early and accurate prediction of wildfire occurrences is crucial for effective preparedness and response strategies. This study investigates the application of machine learning methods to predict global wildfire events, utilizing the SeasFire Cubes dataset — a scientific datacube designed explicitly for seasonal […]

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Advanced control on an autonomous vehicle with independently actuated wheels

The proposed project will focus on the control of autonomous car, also known as a driverless car, which is an autonomous vehicle capable of fulfilling the human transportation capabilities of a traditional car. The research platform is an electric car with four wheel independent control. The findings in this project can be used in either […]

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Automated Data Analyzer

The objective of this project is to develop an automatic data analysis tool that allows users to query datasets using a natural language interface. The project aims to incorporate external knowledge sources via knowledge graph integration, thereby enhancing the accuracy of the analysis. The knowledge augmentation will be reference based using REALM or Toolformer inspired […]

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Eudemian Internship

Eudemian Ventures is a top-performing Silicon Valley venture capital firm that supports innovative entrepreneurs by investing in early-stage software startups. Typical focus areas are Business-to-Business Software-as-a-Service (B2B SaaS), Consumer, Fintech, Marketplaces, eCommerce, AdTech, Digital Health, and Artificial Intelligence (AI). The firm is now strategically expanding its presence to Canada by establishing an office in Toronto […]

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Comparing Security Frameworks for Operational Technology

Several popular OT security frameworks have been developed to help organizations protect their critical infrastructure and industrial control systems from cyber threats. Two of the most popular standards include ISA/IEC 62443 (formerly ISA 99) and NIST SP 800-82 Rev.2 (ICS Security Guide). The purpose of this project is to use an existing OT infrastructure to […]

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Low-Temperature Single-Crystalline Electronics for Smart Displays

The display industry has witnessed rapid growth, in both volume and diversification. In recent years, this trend is expected to persist with continued consumer demand, for example, a wide range of devices such as MP3 players, digital cameras, GPS map readers, portable DVD players, and electronic books, as well as the ubiquitous mobile phone and […]

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Imaging Fibrosis in Peyronie’s Disease with Photoacoustic Ultrasound

Nearly 1 in 10 men are affected by Peyronie’s Disease (PD), a disorder that occurs when excessive scarring builds up in the penis leading to abnormal curvature, pain, and erectile dysfunction. Currently, a photograph of the patient’s erect penis is used to measure the curvature angle, which can be very inaccurate and can be both […]

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AI-Driven Pneumothorax Detection in X-ray Imaging

This project aims to enhance the accuracy of identifying health issues in chest X-ray images. The team will develop a specialized tool, known as a “chest-tube detection model”, which will initially examine all X-rays to identify cases where patients have already received medical assistance, making it unnecessary to flag these cases. Subsequently, the remaining X-rays […]

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Using a digital health platform for concussion rehabilitation in Olympic and Paralympic athletes

Due to the complex nature of a concussion recovery trajectories, rehabilitation must be tailored to the individual athlete. In high performance sport, athletes have access to world-class integrated support teams (IST) to guide concussion recovery. However, there are often barriers met, including decentralization from the team and/or travel throughout the competition year. In addition, there […]

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