Design and Optimization of the product platform for AIS mobile robots

AIS Inc. is at the forefront of developing practical mobile robots for various markets. Mobile robots are considered as very complex systems comprising of hundreds of interacting components in complex system architectures. Developing such complex robotic systems, particularly in large scale, requires a coherent collaboration and engagement on various specialized areas. All of the complex […]

Read More
Trusted Records in TAPESTRY Approach

New America’s Future of Property Rights program aims to create a solution for people all over the world to achieve their basic human right “to own, rent, or otherwise occupy property” (Panfil & Mellon, 2019). What is denying a large part of populations their basic human right is the “lack of proper documents” (Panfil & […]

Read More
Evaluation of safety, efficacy and immunogenicity of a recombinant FVIII molecule: meta-analysis of the Advate Postauthorization Safety Surveillance studies

We propose a meta-analytic project which aims at summarizing Post-Authorization Surveillance Safety data on Advate, a recombinant FVIII concentrates used to treat patients with Hemophilia A. The study will involve the largest cohort of hemophilia patients on FVIII concentrates analyzed in theliterature. The project represents an attempt to sustain a methodologically strong approach in the […]

Read More
The Implications of Blockchain Technology on Privacy, Regulation, and Public Policy

The goal of this research project is to understand how private, blockchain-based enterprises best engage and understand current Canadian regulation on data privacy. Policy is created at many different levels of government and it can be difficult for companies to be aware of the specific requirements needed to comply with regulation. This project will ask […]

Read More
Software and Algorithms for Quantum Computational Chemistry

This project is focused on improving the theory, software and scope of applications of quantum computational chemistry. The intern will work with the company research team to further develop new theoretical methods which are under development, implement them into code as part of the existing open-source PennyLane package, and run tests for modelling the vibrational […]

Read More
Plastics Packaging Materials with Antifungal/microbial Properties

Plastic packaging materials are needed in many food products to prevent spoilage and to extend shelf-life. This project focuses on developing plastic packaging materials that will not permit bacteria and fungi to grow on the surface of the plastic in contact with the food , bread in this particular case. Besides the obvious performance requirement […]

Read More
Autonomous Surveillance and Inspection using Drone for Oil and Gas Pipelines

Using drones and sensors to conduct autonomous monitoring has shown benefits in many applications, including urban infrastructure planning and maintenance. In this research, we focus on a less studied problem of detecting hazardous and illegal events along oil and gas pipelines. We aim to deliver a real-time Internet of Drones (IoD) system, which integrates the […]

Read More
Module for characterizing the patient response to pain

As chronic pain affects a large portion of the population, caregivers cannot locate the optimum pain site, there is a demand for the development of a pain scanner device to provide accurate information regarding the areas of pain. During this internship, a Patient Response Module (PRM) used by the patient to provide information about the […]

Read More
Microelectromechanical Low-power Strain Sensor for structural health monitoring applications – Phase 2

Structural health monitoring (SHM) of airplanes requires very compact and low-power stain sensors. Therefore, IPR wants to investigate how a commercial micro-fabrication process can be used to implement its MEMS sensor design, particularly using the electro-conductive properties of doped silicon vs. metal-coated crystalline silicon or polysilicon. The project will consist of a conceptual study of […]

Read More
Semi-Supervised Learning for NLP Text Classification

Insurance companies collect huge volumes of text on a daily basis and through multiple channels, which can be used for lots of different analyses, including identifying “cause of death”. It is difficult to overestimate the importance of an insurance company’s need to understand the facts and circumstances surrounding an insured individual’s death. These facts, including […]

Read More