Investigating Smart Wearable Systems for Workplace Wellness Management

Japan is a leading example of a nation with a rapidly ageing society and currently consists of the highest proportion of elderly adults worldwide. Among others, this has led to a series of downstream concerns, including labour shortage issues and reduced ability of working individuals to finance those who are retired. As one of the […]

Read More
3D computer vision

Monocular depth estimation aims to infer the distance information of objects in a 2D image. It is an integral part of many computer vision tasks and has applications to autonomous driving, robotics, and virtual reality, among others. This project focuses on developing a new deep-learning-based monocular depth estimation method with high efficiency, competitive performance, and […]

Read More
Free radical polymerization of lignin and PCL for 3D printing materials

The main goal of her study is to make sustainable polymers from lignin that can be used in three dimensional (3D) printing material production. The student will work on making 3D printing materials from polymerized lignin and polycaprolactone (PCL). At Abo Akademi, the student will use different monomers to generate composites of lignin and PCL. […]

Read More
Carboxyalkylated and sulfoalkylated nano lignin as an emulsifier for coating application

The overall objective of this study is to generate lignin-derived sustainable emulsion systems for coating applications. The main focus of this study is on the generation of functional lignin derivatives and then the conversion of these lignin derivatives to lignin nanoparticles. Afterward, the use of lignin nanoparticles in oil-water emulsions will be studied for coating […]

Read More
Object Tracking for High-Speed Pick-and-Place Robot

The demand for eCommerce and online orders has risen rapidly in recent years, this drives the need for highly efficient and automated item sortation systems. Kindred AI is a technology company with the objective to bring artificial intelligence and robotic technologies into the workforce of eCommerce, parcel and order fulfillment. As a part of the […]

Read More
Multi-material 3D printing with FFF and SLA

We propose a solution to achieve a strong interfacial connection between FFF-printed materials and SLA-printed materials by utilizing an ester exchange reaction. Common FFF materials such as PETG and PLA contain an ester structure that can undergo ester exchange reactions with other alcohols in the presence of a strong base such as Triazabicyclodecene (TBD) and […]

Read More
Towards making graphics accessible to blind people

There has been a lot of effort in making printed media accessible to low vision or blind individuals. Braille has been extensively utilized to make text accessible to the blind. Software that automatically converts text to speech has also been employed for this. However, the existing solutions are not adequate for conveying graphical information to […]

Read More
Item Identification for Robotic Pick and Place Applications

This research project aims to develop a robot pick and place model that can be used in Kindred AI’s robotic arms to improve efficiency and reduce production costs. The intern will work closely with the partner organization’s experts in computer vision and MLOp to design and build new models, modify existing ones, and experiment with […]

Read More
The Fertility Partners 2023

The Fertility Partners is the business partner of choice for distinguished IVF and prenatal care providers, working together to identify and institute best practices so they can deliver fulfilling outcomes and exceptional experiences to patients and their families. Since the platform started less than 3 years ago projects for this Mitacs internship are assisting in […]

Read More
Representation Learning with Time Series Data

The proposed research aims at learning better representations for multivariate time series (MTS) data, which can be applied to various important real-life applications such as weather, traffic, and electricity forecasting. Better forecasting accuracies for these tasks could help with efficient risk aversion and decision making, and save costs for decision makers. The proposed research will […]

Read More
Supporting Virica’s Inorganic Growth Objectives

“Supporting Virica’s Inorganic Growth Objectives” is primarily a strategy project which will lead to actionable insights to promote Virica’s goal of expanding our VSE library through inorganic methods. Initially, the project will entail research into the current viral sensitizer space, with the goal being to identify Virica’s competitors and other companies that hold IP on […]

Read More