Model compression and inference optimization for UAV’s companion computer

With the evolution of computer vision methods in recent years, more and more scene-understanding methods have been proposed. Meanwhile, SOTI also designed and developed several scene-understanding algorithms. However, due to the limited computing capabilities of UAVs, all these algorithms need to be compressed to use fewer resources. This project will deliver a model compression and […]

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Kerem Topal Ismail Oglou – Leveraging AI and Data Analytics to Minimize Waste Generation in the Fashion Industry and Drive Sustainability.

During the internship, the intern will focus on three primary objectives related to the commercialization of sustainable solutions for the fashion industry: Conducting a comprehensive business market analysis on retail/consumer goods industry standards for demand forecasting. Extracting, cleaning, categorizing, and analyzing historical sales data to drive insights into consumer purchasing behavior and seasonality. Assisting the […]

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Towards AI Assisted Training Tool: Automated Identification of Calcifications in Optical Coherence Tomography Breast Tissue Images.

Breast cancer is the most common cancer (excluding non-melanoma skin cancer) in 109 countries including Canada. Approximately 70% of the breast cancer surgeries are breast-conserving lumpectomy procedures. Histopathology analysis typically require 2-4 days, resulting in the need for a second surgery if a margin is positive. Perimeter Medical is developing advanced Optical Coherence Tomography (OCT) […]

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AI-driven Predictive Models and Consumer Insight for Trade Optimization Improvement

The proposed project is to develop AI strategies to provide precision marketing through consumer segmentation and recommender systems, as well as to promote events that shall meet various business goals for retailers and Unilever. Successful outcomes will feed into an On-Demand AI Engine aimed at improving consumer engagement and pricing strategy in the consumer packaged […]

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Enhanced & Editable Deep Fakes

Traditional Computer Generated Imagery (CGI) splits the process into separate stages: we model geometry; apply textures and define surface properties; animate motion; and apply lighting; before combining the elements when rendering imagery. Deep-learning methods such as Deep Fakes, or NeRF train a network to combine many of these steps into a single network, and are […]

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Data Communication Optimization between Mobile Devices and Servers

The proposed research project aims to improve the way data is transmitted between mobile devices and company servers. This will improve the speed and security of file transfers, data synchronization, application deployment, and distant management of mobile devices. The intern will collaborate with experts from the partner organization who will offer guidance and support in […]

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Driver Behaviour Analysis Using Accelerometers on Android Devices

The objective of this project is to develop a software solution that can analyze the accelerometer data on android devices and report certain metrics of a moving vehicle related to road safety and driving conditions. The reports can then be used for immediate call for action in case of detecting an emergency or collecting the […]

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1991 Soviet Coup Attempt – Part 1

The proposed research project aims to analyze the causes and consequences of the Soviet Coup attempt, including the political and economic factors that led to the coup, the role of the Soviet military and the KGB, and the impact of the coup on the collapse of the Soviet Union. The expected outcomes of the research […]

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1991 Soviet Coup Attempt – Part 2

The intern will investigate the 1991 Soviet coup attempt, a critical event in history when some powerful Soviet leaders tried to take control from then-President Mikhail Gorbachev. They will study why it happened, who was involved, and what the consequences were for the Soviet Union and the world. By analyzing historical documents, interviews, and other […]

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Using multi-modal data and self-supervised approaches for machine learning in healthcare

This research project aims to address the growing interest in predicting clinical outcomes using machine learning (ML) approaches applied to Electronic Medical Record (EMR) data. The primary objective of this study is to develop representations of both EMR and text data found in medical notes using current state-of-the-art ML techniques. In particular, this research proposes […]

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Robotic-based methodology for synthetic seizure dataset generation for machine learning-driven medical devices.

This research project aims to improve epilepsy treatment by developing a robotic-based method for testing wearable seizure detection devices. The project will create a robotic system that can simulate seizures, providing realistic data to help refine and test machine learning algorithms for detecting seizures more accurately. The goal is to address the limitations of current […]

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AI Based Script Builder for Web Payments

To conduct research and provide a feasible solution to create an AI-based script builder to automate the company’s pay-by-web transaction process. The pay-by-web transaction process includes many steps. These are steps such as extracting data from different sources and monitoring email inboxes as well as verifying payment information. The process also involves identifying the correct […]

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