Innovative Projects Realized

A cognitive approach to intelligent gaming:Analysis of eye movement

Le projet vise a mesurer de fac;on objective I’etat physiologique et affectif dans lequel se
trouvent les joueurs de jeux videos, et ce, en temps reel. Pour se faire, Ie suivi des mouvements
oculaires des joueurs sera enregistre lors de sessions de jeu. L’analyse du mouvement des yeux
mise en lien avec I’etat cognitif et affectif rapporte par les joueurs permettra ulterieurement d’adapter
Ie jeu en temps reel en fonction de I’etat affectif des joueurs et ainsi maximiser I’experience de jeu et
prevenir son abandon.
Ubisoft Quebec evalue actuellement Ie facteur amusement et la convivialite des jeux a I’aide
d’entrevues et de questionnaires qui peuvent etre influences par plusieurs biais. Ce projet permettra a
I’entreprise de non seulement de rendre plus objectif Ie processus d’evaluation de ces aspects, mais
egalement de devenir un pionner dans la creation de jeu « intelligent)} s’adaptant a I’etat cognitif et
affectif des joueurs.

Marketing Specialist Intern

Stoko is commercializing integrated apparel, which incorporates anatomical joint support into next-to-skin garments, with our first product focusing on the knee. Stoko is pre-revenue, and was projected to begin selling product in October 2020.

Marketing Specialist Intern will help to restore the timeline around Stoko’s digital marketing strategy, social media management and content creation, brand playbook, and product photography. S/he will be responsible for developing content for a variety of platforms, reaching out to retail and strategic accounts (physicians and benefits providers), developing and executing a successful digital marketing and SEO strategy to drive website traffic.

Marketing Coordinator

During this internship, I will be working on updating the website, compiling reports, producing portfolios, completing data entries, etc. I will be working with different members of the team and be exposed to insightly, the CRM software.

Mitacs Assomption-vie

La compagnie Assomption Vie souhaite que les clients, nouveaux ou existants, obtiennent une réponse rapide pour leur demande d’assurance vie tout en restant dans les limites des risques acceptables. Pour répondre alors à ces attentes, l’objectif du projet proposé est de développer un modèle prédictif intelligent et automatique qui classe avec précision les risques en se basant sur les données habituellement fournies dans les formulaires de sélection médicale. C’est un projet d’envergure qui sera divisé en deux phases, la première phase fait l’objet de cette proposition. Dans cette demande nous proposons la mise en place d’une base de données convenable à son utilisation par l’équipe technique et qui servira d’entrée au processus de modélisation et de prédiction dans un contexte d’aide à la décision. Ce système d’aide à la décision permettra d’accélérer le processus de sélection médicale et aidera le spécialiste de sélection médicale à se concentrer sur la décision au niveau des risques en se basant sur le résultat retourné par le modèle prédictif. Ce premier système sera alimenté par la rétroaction des spécialistes et permettra de développer une seconde version plus performante dans un deuxième projet.

Partnerships and Digital Strategy Intern

As a Partnerships and Digital Strategy Intern at LifeSciences BC, I am tasked with developing a strategy to retain/improve member & sponsor engagement to ensure that we can continue to function and support our mission of nurturing the economic development in B.C. through the bio-economy. In addition to conducting a strategic analysis of the LSBC membership and sponsorship base, I will be making recommendations on:
– New industry segments and better serve current member segments in this new business reality
– Initiatives that would attract new segments and better serve current member segments in this new business reality
– Delivering engaging events in the digital world
– Closing the business-science talent gap through partnerships with government funding agencies and UBC Sauder

Systeme de marketing electronique pour telephones intelligents

Avec ce projet, la compagnie The Money Tree Online Services Inc. propose des solutions innovantes
dans Ie domaine des e-coupons. Un e-coupon ou coupon mobile est un coupon numerique envoye a
un appareil mobile tel qu’un telephone sans fil etlou intelligent ou un assistant numerique personnel
(PDA, Personal Digital Assistant). Essentiellement la compagnie vise la resolution de deux problemes
grace a ce projet : (1) permettre aux utilisateurs de recevoir des ollres promotionnelles sur leur
telephone mobile et (2) garantir un usage unique de I’ollre promotionnelle au marchand. En
consequence, cette proposition vise a concevoir et prototyper une application mobile pour telephones
intelligents ainsi qu’une architecture logicielle securisee garantissant aux marchands un usage
adequat de leurs of Ires promotionnelles.
Outre Ie benefice de positionner la compagnie The Money Tree comme leader des systemes de
coupons en ligne a I’issue du projet, la compagnie vise a court terme la population etudiante comme
marche cible, permettant ainsi aux etudiantes et etudiants canadiens de…TOBECONT’D.

Helping Ontario Meet its Environmental Goals- Hydrogen Adoption report for Ontario

Hydrogen technology in Ontario has incredible potential as an alternative energy source that can eliminate the use of harmful fuels and greatly reduce greenhouse gas emissions. Canada is currently developing a nation-wide strategy to increase the adoption of hydrogen technology; however, Ontario is underrepresented in this discussion. Science Concepts International will work with its interns to create a report that outlines the current state of hydrogen technology, discusses several possible projects that would benefit Ontario, and then analyse the impacts these projects may have on the environment and the economy. The report will help formalize the current state and future of hydrogen technology in Ontario and inform on how this initiative will help Ontario meet its sustainability goals. Science Concepts International is a consulting company that seeks to develop marketable expertise in helping Ontario companies become part of solutions as outlined in the report. SCI will hold a conference at which it will be able to use this report as a basis for presenting to key individuals the feasibility and benefits of hydrogen technology adoption in Ontario.

Investigation of microwave imaging techniques for monitoring grain bins

Microwave Tomography (MWT) is an emerging modality where the goal is to estimate the electrical
properties of an object-of-interest. This is done by transmitting a microwave signal into the OI and
collecting measurements outside the OI. The measurements are inputs to an optimization algorithm
that solves for the unknown electrical properties. As this modality has been successfully adapted in
biomedical imaging and geophysical surveying, the proposed project looks into the feasibility of using
this technology to monitor moisture content and insect infestations inside grain bins for early detection
of the grains spoilage. The project is a two-part study. The first part consists of running simulations to
study the electromagnetic signal behavior inside grain bins with varying electrical properties due to the
presence of excess moisture or insects. The second part consists of performing a paper design and
simulation of an experimental measurement system. This work is done by the Electromagnetic
Imaging Laboratory at the University of Manitoba in collaboration with…TOBECONT’D

Automatic detection and classification of abnormal human blood cells using computer vision and deep learning

This research proposal aims to enhance the performance and add more features to the automated microscope system that is being developed by Smart Labs ltd. This research goal is to increase the overall accuracy of the system while running in real-time. The current prototype has an accuracy of 91% and can process 17 frames per second. Moreover, it can only classify 2 types of cell abnormalities using traditional image processing techniques. This proposal aims to: 1) increase the accuracy from 91% to at least 95%, 2) increase the frame rate to be able to run at 40 frames per second, and 3) be able to classify a minimum of 10 abnormal cell types. The output of this research will enable Smart Labs to process the slides in real-time as they continue moving under the microscope’s objective lens, as well as being able to classify various blood cell abnormalities. This is crucial in having a commercial product that can be presented to labs in Canada and the international medical sector.

Automatic Annotation of Vertebral Heart Score and Tibial Plateau Angle in X-ray Images

The proposed work combines artificial intelligence and diagnostic medicine. Using X-ray images, radiologists and veterinarians can perform an array of measurements to assess patient health. In a veterinary setting, standard measurements and annotations are performed on X-ray images to assess heart and knee health in canines, namely vertebral heart score (VHS) and tibial plateau angle (TPA). Provided a database of related radiographic images, the chosen intern can develop a method to automatically place annotations and perform these measurements through applications of machine learning. The methods developed in this research will be immediately applicable to the partner organization; these tools will be integrated within iMi’s x-ray imaging system for use in veterinary clinics. Additionally, the methods developed will allow iMi to quickly implement new auto-annotation modalities in human and veterinary clinic settings.

Application of time-frequency based techniques to assess Auditory Brainstem Responses in newborn hearing assessment

Automatic detection and classification of the Auditory Brainstem Responses (ABR) is used in newborn hearing screening. Improved detection algorithms will reduce test time, prevent infants with hearing loss from being missed while reducing the number of normal hearing babies referred to diagnostic testing. We have already improved the objectivity of ABR classification in neurological assessments by using Continuous Wavelet Transform (CWT) and Machine Learning (ML). In the proposed project, we seek to validate our findings further to improve the objectivity in the newborn hearing assessment. We intend to implement the algorithm in real-time for faster and accurate diagnosis of hearing impairment. The project will be carried in partnership with Vivosonic Inc.; a reputable company focused on auditory screening and diagnostics. It is expected that the outcome of this work will be beneficial to the partner to improve their system to supply clinicians with valuable clinical tools.

Développement de solutions industrielles pour le traitement laser de surfaces métalliques

Le traitement des surfaces est une pratique courante dans l’industrie manufacturière afin d’améliorer les propriétés mécaniques des pièces. Cette technique est particulièrement exploitée dans l’industrie automobile, où les surfaces de pièces risquent d’être endommagées. Les traitements couramment utilisés sont souvent complexes, aléatoires et dommageables pour la surface traitée. Le traitement par laser est ainsi une technique de grand intérêt puisque la technique est rapide, versatile, peu dommageable et automatisable. La recherche proposée porte sur le développement de solutions industrielles pour le traitement laser de surfaces métalliques. Le projet porte sur le développement de nouveaux produits et procédés de traitements de surface, dont le marquage, la texturation, le nettoyage et la trempe martensitique de l’acier au carbone.