Student Research Job Postings

Full Stack Developer – CLOSED
Industry partner: Nevvon
Project Summary: This work builds on the relationship Nevvon has with Sheridan’s CMI. Currently, there are two projects underway with Nevvon (Mobile App Dev, and SEO). In this project:

• Nevvon is automating campaign messages to their clients. The aim is to automatically generate and deliver an appropriate message to clients based on their profiles. The system is already developed and the candidate is expected to build onto the existing system and develop new features.
• Future Enhancements, if time permits, will be considered as the project unfolds.

AR/MR Mobile Application Developer – CLOSED
Industry partner: Karmy Pain Clinic
Project Summary: This “Objective Method for Diagnosis of Chronic Pain” research project involves researching, developing and evaluating an automated Facial Action Coding System (FACS) that aims to outperform human observers on pain assessment accuracy and efficiency in a clinical setting. The proposed system will recognize a patient’s pain level by analyzing video captured facial expressions.

Prototype Developer  – CLOSED
Industry partner: LUCID
Project Summary: This research project pertains to the design and prototype development of a digital music therapy tool for people living with dementia. This tool will be designed to help manage agitation and acute cognitive symptoms in patients without the use of anti-anxiety medication or sedatives.

Mobile App Developer  – CLOSED
Industry partner: SOTI Inc.
Project Summary: Mobile app developer for lifecycle management of mobile devices which will involve collecting data form various sensors of the mobile device and determine the health of the mobile phone/tablet. We want to use the computing power of mobile phones and detect anomaly and intrusion.

Student Research Assistant  – CLOSED
Industry partner: TELUS
Project Summary: Your main task will be to develop mobile apps that leverage LPWAN (Low-Power Wide-Area Network), Bluetooth, Wi-Fi, and other unlicensed wireless spectrum technologies to pinpoint outdoor/indoor location and assist design/implement new Machine Learning (ML)-based algorithms.

iOS Part-Time Full Stack Developer  – CLOSED
Industry partner: Sick Kids
Project Summary: You will be working with our iOS ATOMIC App that connects youth with Multiple Sclerosis to information and support for living a healthy active life, as part of a international research program.

Machine Learning Data Analyst; Computer Vision - CLOSED
Industry partner: ResTech Global
Project Summary: In this research project “Tracking and organizing medication information using machine learning”, we will build a virtual assistant as a mobile application, called Therapy Tracker, which will allow smartphone users to detect prescription information on medicine bottles or other containers as well as schedule and track prescriptions to improve the quality of independent living.

The proposed application offers a solution to build such a system that can track and alert users especially elderly about their medications by simply scanning their medication prescription using the smartphone’s camera. The application will detect and capture prescription information and provide automated assistance in scheduling, reminders and tracking medications by keeping a list of medications, dosages, refill information, and prescribing documents. Augmented Reality (AR) technologies will be used to provide virtual information that combines real world situations, with virtual information, such as detecting and highlighting the correct medication from a group of them. The virtual assistant will also guide the user through both visual and auditory alerts. The proposed research will be conducted in collaboration with ResTech Global, a company focused on building cutting edge healthcare solutions.

Machine Learning Data Analyst; Computer Vision - CLOSED
Industry partner: Karmy Pain Clinics
Project Summary: Research, develop and evaluate an automated chronic pain diagnostic system to output a computer diagnosed pain score with the abilities of distinguishing real pain from malingering pain descriptions. The system will enhance patient care and improve clinical practice efficiency compared to current use of the manual Facial Action Coding System (FACS) procedure. The most advantaged 3D technologies and Artificial Intelligence (AI) algorithms will be applied on face expressions and body motions from both 2D and 3D data. Microsoft Kinect devices will be used to capture RGBD data for tracking face expressions and body motions in 3D. Deep learning neural networks for classifying the pain scores in 3D, especially on body motions and gesture analysis will be one of the main tasks.

Mobile Application Developer - CLOSED
Industry partner: Inovex and Osteoporosis Canada
Project Summary: In this collaborative research project involving Inovex, Osteoporosis Canada and Sheridan’s Centre for Mobile Innovation (CMI), we will explore and analyze FSPP data through data science and machine learning (ML) techniques.  The goal is to better understand the characteristics and interrelationships between patient self-reported data collected through this program to determine whether the variables can help predict comparative risk between patients enrolled in the program.  Furthermore, the research activities will also include determining the predictors with insights that may lead to better prevention strategies.  These findings may serve to improve the successful Fracture Screening and Prevention Program (FSPP) offered by Ontario Osteoporosis Strategy.

Data Scientist - CLOSED
Industry partner: Geotab
Project Summary: High-resolution gridded temperature datasets are extremely important for many modelling applications such as regional climate prediction models, agriculture, and surface transportation systems. Currently, the primary method for gathering air temperature readings is via irregularly spaced weather stations. Most high-resolution datasets use interpolation algorithms to fit temperature curves to the station data or incorporate some models of physical processes into the interpolation methods. One of the most promising possibilities to improve the temperature datasets is the potential to use vehicles as local weather observation systems. Geotab, a Canadian based company, is a global leader in commercial fleet telematics that collects a wealth of information from Geotab’s GO device connected to vehicle’s computer including the vehicle’s location, speed, acceleration, temperature, barometric pressure, and detailed engine diagnostics. Geotab continuously collects temperature data from over two million vehicles in real-time. Due to potential errors in GO device sensor readings, the accuracy of the dataset must be analyzed and improved.  In this project, we will create high accuracy real-time high‐resolution air temperature datasets desirable for ecological research, weather predictions, and surface transportation systems.

Mobile app developer for lifecycle management of mobile devices - CLOSED
Industry partner: SOTI Inc.
Project Summary: The project will look into two aspects:
Physical Security: this will involve collecting data form various sensors of the mobile device and determine the health of the mobile phone/tablet. Accelerometers, gyroscope, compass etc. can be used to detect accidental falls or bumps. the app should be also able to monitor processor, RAM and storage space to find out about if the phones been overworking or not.
Network security: further to physical security, we want to use the computing power of mobile phones and detect anomaly and intrusion. Specifically for cellular network where the phone/tablet is not protected by layers of firewalls and IDPS systems. This will require “Fog” computing.

Mobile Application Developer; Mixed Reality Developer - CLOSED
Industry partner: Cloud DX
Project Summary: This research project involves continuing the collaborative work with Cloud DX. Cloud DX is a progressive medical company.  Cloud DX won the 2017 XPRIZE recipient for 'Bold, Epic Innovation'.  Since August 2017, many Sheridan students and faculty members have been involved in the research collaboration.  Some of the faculty members included: Magdin Stoica, Rachel Jiang, David Horachek, and Ed Sykes. Our ‘Clinic of the Future’ includes a HoloLens application and a UWP app for a nurse’s station that use the real-time vitals from Cloud DX’s Vitaliti wearable. 

Mobile Application Developer - CLOSED
Industry partner: Nevvon
Project Summary:The scope of this project is to assess Nevvon’s mobile apps and potentially create a new Mobile App for Nevvon.  Nevvon currently has two native Mobile Apps (iOS and Android) and would like the following activities performed:

• iOS app assessment (Activity #1): Currently, Nevvon has a native iOS app.  This activity will involve a feasibility analysis and assessing whether or not the app in its current state should be continued and maintained or discarded in pursuit of a better, easier maintained, device agnostic solution instead; this activity will involve learning and assessing Nevvon’s current and future requirements to make an informed recommendation.
• Android app assessment (Activity #2): Currently, Nevvon has a native Android app.  This activity will involve feasibility analysis and assessing whether or not the app, in its current state should be continued and maintained or discarded in pursuit of a better, easier maintained, device agnostic solution instead; this activity will involve learning and assessing Nevvon’s current and future requirements to make an informed recommendation.
• Mobile Device Agnostic App (Activity #3): Based the outcome of Activities #1 and #2, this activity will involve either enhancing the existing iOS and Android apps-based on Nevvon’s needs for updating them or will involve designing and developing a new device agnostic mobile app using leading-edge frameworks (e.g., mobile web: React Native, Bootstrap, Angular, etc.; and/or native app from a single codebase: Xamarin, Flutter, etc.).
• Future Enhancements, if time permits will be considered as the project unfolds.

Instructional Designer - CLOSED
Industry partner: Nevvon
Project Summary: Nevvon is currently looking for a course content intern to join our team. Working remotely with members of the content team, you’ll be involved in researching and writing engaging and instructive online training content.

As a course content designer/developer, you will:

● Collaborate with the team to determine eLearning content needs

● Research and write about a variety of healthcare training topics

● Assist with the scripting of online training materials

● Support other departments with content needs such as course descriptions and marketing materials

● Share knowledge and skills with other team members

Qualifications

· You’re creative and have a knack for research

· You have excellent written communication skills

· You love learning and are able to learn quickly

· You enjoy collaborating with others and are open to giving and receiving helpful feedback

· You have a working knowledge of adult learning theory and eLearning design

· Team player with good communication skills, and fun to work with.

· Enrolled in Bachelor’s degree in a related field.

Mobile Application Developer - CLOSED
Industry Partner: Tech4Life
Project Summary: This research project involves continuing the collaboration with Tech4Life. Their main products are: eSteth – a digital stethoscope and MDConsults (Tech4Life’s EMR)

We are developing a portable low-cost medical assessment and monitoring kit that can be easily deployed to low-resource settings. Our current use case is pneumonia in children (5 years and younger) and COVID-19. This position involves developing native mobile applications in both Android and iOS that communicate via Bluetooth with the Arduino-based medical device we have created. The apps are intended to used by the patient and/or healthcare professional and will present a visually appealing and informative dashboard consisting of real-time vitals, medical history, and other relevant medical information (allergies, CT/MRI scans, etc.) from our medical device and Tech4Life’s MDConsults.

Machine Learning Data Analyst; Computer Vision - CLOSED
Industry partner: ResTech Global
Project Summary: In this research project “Tracking and organizing medication information using machine learning”, we will build a virtual assistant as a mobile application, called Therapy Tracker, which will allow smartphone users to detect prescription information on medicine bottles or other containers as well as schedule and track prescriptions to improve the quality of independent living. 
The proposed application offers a solution to build such a system that can track and alert users especially elderly about their medications by simply scanning their medication prescription using the smartphone’s camera. The application will detect and capture prescription information and provide automated assistance in scheduling, reminders and tracking medications by keeping a list of medications, dosages, refill information, and prescribing documents. Augmented Reality (AR) technologies will be used to provide virtual information that combines real world situations, with virtual information, such as detecting and highlighting the correct medication from a group of them. The virtual assistant will also guide the user through both visual and auditory alerts. The proposed research will be conducted in collaboration with ResTech Global, a company focused on building cutting edge healthcare solutions.

Mobile Application QA Engineer - CLOSED
Industry partner: Caribou Health Technologies
Project Summary: You will be responsible for running quality assurance activities for all of Caribou’s technologies. The current technologies include Caribou’s PRO app, CLIENT app, ADMIN dashboard, and CSA Booking Tool. The quality of your work will directly impact users’ experience of Caribou’s technologies. You will work directly with Caribou’s fractional CTO, senior developer, and product manager to ensure optimal user experiences

CRM Developer and Analyst - CLOSED
Industry partner: Nevvon
Project Summary: This works builds on the relationship Nevvon has with Sheridan’s CMI.  Currently, there are two projects underway with Nevvon (Mobile App Dev, and Business Intelligence Analysis).  In this project,

• Nevvon is switching its CRM from Freshworks to Salesforce and is looking for an individual with attention to detail with technical and project management skills.  You will learn business practices and have an opportunity to co-lead this project with the CEO of the company.
• Future Enhancements, if time permits will be considered as the project unfolds.

Business Intelligence Analyst - CLOSED
Industry partner: Nevvon
Project Summary: The scope of this project is to improve healthcare education using advanced technologies.  
Nevvon currently has a Business Intelligence system and would like the following activities performed:

• BI Analysis (Activity #1):Currently, Microsoft Power BI is used with SQL queries.  This activity will involve exploring other tools/packages that provide advanced features based on Nevvon’s requirements; present a comprehensive review of these other reporting packages (e.g., top 3) with an objective analysis of the pros/cons of each and fit with Nevvon’s requirements.
• BI Analysis – further improvements (Activity #2): After the team will choose the reporting BI tool, the activity will include authoring reports as per Nevvon’s needs. This include getting familiar with the DB schema, writing SQL queries, and using the chosen tool to produce meaningful reports.
• BI Report Integration (Activity #3):  Currently, Nevvon’s web interface is implemented in VueJS for UI report generation.  This activity will involve integrating reports using the package selected from Activity #1 into Nevvon’s web interface.

Machine Learning Data Analyst - CLOSED
Industry partner: Rogers
Project Summary: The Sheridan team, in collaboration with Rogers Communication, will carry out the following key research activities. 

• Analyze raw 4G traffic data, develop necessary tools for formatting and mapping data into suitable format, and carry out required pre-processing to prepare data for feature extraction.
• Identify the known and desired features, explore for new and potential features, create derived features, and develop a set of features, vetted by Rogers, for final model building.
• Construct a pair of ML models- one for traffic classification and one for traffic prediction. Iteratively, train and tune the models with the test dataset and selected feature set. 
• Develop a set of test scenarios for each model and perform methodical testing of the models with the test dataset. Analyze performance of the models with algorithm-specific standard performance evaluation matrices and required operational performance thresholds of Rogers.

Application Developer - CLOSED
Industry partner: Tech4Life
Project Summary: This research project involves continuing the collaboration with Tech4Life. Their main products are:  eSteth – a digital stethoscope http://tech4lifeenterprises.com/esteth/   http://esteth.com   and MDConsults: http://tech4lifeenterprises.com/mdconsults/     
We are developing a portable low-cost medical assessment and monitoring kit that can be easily deployed to low-resource settings. Our current use case is pneumonia in children (5 years and younger) and COVID-19. 

Mobile Application Developer -- Care Worker Rewards - CLOSED
Industry partner: Caribou Health Technologies
Project Summary: You will develop a Care Worker Rewards program within existing app, which allows care workers to earn gamified achievements for:

• Responding quickly to requests
• Providing extra availability
• Completing their profile details
• Recruiting and onboarding families
• Posting their agency’s job openings to Facebook
• Completing other tasks like mandatory training or COVID-19 screening

You will work directly with Caribou’s fractional CTO, senior developer, and project manager to develop the solution.

Mobile Application Developer -- Nurse Field App - CLOSED
Industry partner: Caribou Health Technologies
Project Summary: You will develop a Nurse Field App, which allows home care nurse supervisors and managers to:

• Monitor care worker performance
• See recommended actions they can take to improve care worker performance
• Onboard new families to the Family app
• Make last-minute booking requests to backfill for care worker sick calls

You will work directly with Caribou’s fractional CTO, senior developer, and project manager to develop the solution.

Mobile Application Developer - CLOSED
Industry partner: Closing the Gap
Project Summary: The scope of this project is to build a web interface for a client portal to allow CTG’s clients (actual patients receiving treatment) access to specific relevant information. This portal would be integrated in real-time with the MS Dynamics CRM platform.  This project started in Sept 2018 and we currently have an early stage prototype.  In the upcoming semester, we are planning to continue and refine the development of the system.
The following is a list of features in the portal:

• Schedule – Shows who is coming into the home and for what service on a calendar. This is accomplished by a web-based view of a calendar system (e.g., the client can see the month of August with various appointments.) Links are provided so that the client can drill down and see relevant information for that appointment (e.g., time and length of the appointment, healthcare provider, the treatment to be performed, a brief biography and picture of the provider).
• Provider Information – The web-based view enables the client to see a brief biography of the provider for specific appointments along with a picture and any other relevant information.  This information is retrieved from the CRM.
• Medical Notes – The web-based view provides access to documentation related to the care the client is receiving, such as medical notes, CTG notes, etc.  This is achieved by retrieving all relevant documentations available via the CRM and/or SharePoint as appropriate. 
• Management View – The web-based view enables the client to view admission information, care plan, and their own profile.
• Efficient rescheduling of appointments (considers driving time, care provider’s schedules and locations, etc.)

 The web-based client portal uses a virtual machine on-premise at CTG with integration CTG’s MS Dynamics CRM using web services. Authentication is using using Active Directory and the site would use SSL

Mobile Application Developer - CLOSED
Industry partner: PointClickCare
Project Summary: Develop creative solutions using mobile and/or IoT technologies for senior living environments; behavioural human factor modelling and assessment; and predictive analysis using machine learning.  

Motivation:  

• aging demographics is a world-wide phenomenon;
• Elderly want to stay in their own homes;
• increasing pressure on healthcare system for people to ‘age in place’ (Hospitals, LHIN, etc.)

This project focuses on:  

• Creating a caregiver app and a senior app to model, assess and alert the caregiver if intervention is required.
• Behavioural modelling using: 1) activity data (e.g., walking, running, sleeping, etc.); 2) biometric data (heart pulse rate, SPO2, BP, step count, etc.); 3) geofencing data (did the senior leave his/her home?)
• Conducting a series of scenario-based experiments; for example:

• What is ‘normal’ behaviour?  What is ‘abnormal’?
• When should intervention be triggered?
• How much detailed information should be presented to the care giver app (e.g., son/daughter)?
• How much data can be mined, analysed by machine learning or other techniques to provide informative reports and aid in prediction?

• Apply Machine Learning for analysis and predictive insights. Abnormal behaviours will be identified (e.g., person wakes up several times in the night to check that the garage door is closed; or there has been no activity in the kitchen during breakfast time when there typically is a lot of activity).
• Create a process to notify circle-of-care stakeholders of the identified abnormal behaviour (e.g., notify children, caregivers, physicians with appropriate message and information).

Mobile Application Developer for lifecycle management of mobile devices - CLOSED
Industry partner: SOTI Inc.
Project Summary: Businesses are turning to mobile technologies for improved and responsive service delivery, operational efficiencies and active client engagement.
The project will look into two aspects:
- Physical Security: this will involve collecting data form various sensors of the mobile device and determine the health of the mobile phone/tablet. Accelerometers, gyroscope, compass etc. can be used to detect accidental falls or bumps. the app should be also able to monitor processor, RAM and storage space to find out about if the phones been overworking or not. 
- Network security: further to physical security, we want to use the computing power of mobile phones and detect anomaly and intrusion. Specifically for cellular network where the phone/tablet is not protected by layers of firewalls and IDPS systems. This will require "Fog" computing. 

Mobile Application Developer - CLOSED
Industry partner: Tech4Life
Project Summary: This research is about creating an innovative low-cost, accurate and portable medical point-of-care assessment and monitoring system using Android and the latest Arduino chipset. We have developed this system in collaboration with our industry partner, Tech4Life. Future work involves improving the accuracy of the system and developing enhanced features on the Android app, and possibly including Machine Learning.

Application Developer - CLOSED
Industry partner: Eleway Labs
Project Summary: Eleway Laboratories has created a smart suit that enables you to strengthen your muscles while in resting positions. Using cutting edge technology and a revolutionary new software, we provide personalized workouts that are recorded by fitness professionals, tailored by biomedical experts and delivered directly to your muscles while you lay down and relax in the comfort of your bed. Our goal is to use this technology to help individuals around the globe recover from conditions that cause muscle loss and help build a strong body they can be proud of every day.

System  Analyst / Application Developer- CLOSED
Industry partner: Interware
Project Summary: The Sheridan team, in collaboration with Interware, will design and develop the prototype of the system to retrieve, normalize and analyze data, and suggest the optimal evidence-based solution to be made, allowing for outcome to be personalized to the specific health-care sector, specific scenario or individual client

Two Undergraduate Research Assistants - CLOSED
Industry partner:Iris
Project Summary: Students applying to this position are expected to participate in developing a new system that can be receive video input and de-identified sensitive information in this video such as faces.

Web and Mobile App Developer- CLOSED
Industry partner: Coolbreeze
Project Summary: Students applying to this position are expected to participate in developing a new system for automatic tracking, administering, archiving, reporting, scheduling and analyzing all safety certifications and licenses that an individual holds throughout the course of their career. The new system consists of Android/IOS mobile apps and a backend.

Student Research Assistant- CLOSED
Industry partner: Lusens Inc.
Project Summary: This project involves the research and development of human body pose estimation techniques from RGB video using machine learning algorithms and computer visions techniques.

Mobile Application Developer - CLOSED
Industry Partner: Eleway Labs
Project Summary: Eleway Laboratories has created a smart suit that enables you to strengthen your muscles while in resting positions. Using cutting edge technology and a revolutionary new software, we provide personalized workouts that are recorded by fitness professionals, tailored by biomedical experts and delivered directly to your muscles while you lay down and relax in the comfort of your bed. Our goal is to use this technology to help individuals around the globe recover from conditions that cause muscle loss and help build a strong body they can be proud of every day. Please see:  https://www.youtube.com/watch?v=eXuoth8A8jE

Application Developer - Research Assistant (2 - 3 positions) - CLOSED
Industry Partner: Closing the Gap Project
Project Summary: The scope of this project (CTG-CMI Patient Care Project) is to build a web interface for a client portal to allow CTG’s clients (actual patients receiving treatment) access to specific relevant information. This portal would be integrated in real-time with the MS Dynamics CRM platform.

Mobile Game Developer – Encore - CLOSED
Industry Partner:   Encore Marketing Management
Project Summary: This research project involves the exploration of how a gaming app could be used to improve a selected metric. The goal is to create a game client program that connects to Encore’s backend analytics and KPI tracking database for the purposes of encouraging employee engagement via Unity. The app will be run on iOS and Android.

Web/Mobile Developer - Research Assistant (2 positions) - CLOSED
Industry Partner: IRIS Inc. 
Project Summary: The goal of this research project is to develop a new web application for facial recognition. Student researchers will need to resolve technical and application problems, with a skill set in back end development including HTML5, CSS3, jQuery and JavaScript.

Web/Mobile Developer - Research Assistant (4 positions) - CLOSED
Industry Partner: Danby Products 
Project Summary: The goal of this research project is to develop a new web application and mobile app for machine learning. Student researchers will need to resolve technical and application problems, with a skill set in back end development including HTML5, CSS3, and JavaScript.

Mobile Application Developer - Research Assistant - CLOSED
Industry Partner: PointClickCare
Project Summary: Improving Senior care by creating Smart Home environments; behavioural human factor modelling and assessment; and predictive analysis using machine learning.  Creating and researching in a Smart Home environment using commercially available components (wireless sensors, door/window sensors, motion sensors, cameras, etc.) in combination with wearables (FitBit, watches, etc.) to capture biometric information (heart pulse rate, SPO2, BP, step count, etc.).

Mobile Application Developer – Research Assistant -  CLOSED
Industry Partner:   
Project Summary: Undergraduate research assistants are required to work on a project that uses image processing for identifying patterns of clothing design. The Sheridan research team proposal includes designing, implementing and testing an algorithm to recognize fashion patterns which in turn, will help the industrial partner continuously work on recognizing fashion trends.

Mobile Application Developer - AquaMobile -  CLOSED
Industry Partner: AquaMobile
Project Summary: The goal of this research project is to find the best ML algorithm that can enhance the user experience of a Website. ML is to be used to match Swimming Instructors with Clients in a more autonomous and intuitive manner.

Mobile Application Developer - SOTI - CLOSED
Industry Partner: SOTI Inc.    
Project Summary:  This research project involves building Apps that use Beacons (Estimote, Gimbal, and Onyx beacons) to track assets in dynamic indoor environments using mobile devices.

SmartHome Mobile Healthcare Software Developer – My Personal Guardian - CLOSED
Industry Partners:  Osnium Software Inc., PatientSERV, Portable Intelligence, Geotab, Saint Elizabeth, THP, NYGH, Microsoft, Apple, IBM
Project Summary: In this project, we are creating mobile solutions based on smart-home technologies (using IoT sensors, wireless tag sensors (http://wirelesstag.net ) and other sensors) to assist older adults to live well, independently and safely, at their homes.

Mobile Application Developer – Encore - CLOSED
Industry Partner: Encore Market Engagement    
Project Summary: This research project involves continuing the development of an iPad app that uses computer vision to detect products of interest on a shelf in a grocery store.  We use Matlab to create detectors for various products (e.g., Minute Maid, Five Alive, etc.) and port that to an iOS app using OpenCV to run the detectors.  

AR/MR Mobile Application Developer - Cloud DX - CLOSED
Industry Partner: Cloud DX    
Project Summary: This research project involves continuing the collaborative work with Cloud DX in creating the Clinic of the Future. Cloud DX is a progressive medical company led by Dr. Sonny Kohli. We developed a Hololens application and a Clinic of the Future UWP app. The apps use Cloud DX’s Vitaliti wearable device.

Mobile Healthcare Application Developer - Tech4Life - CLOSED
Industry Partner: Tech4Life    
Project Summary: This research project involves continuing the collaboration with Tech4Life. Their main products are:  eSteth – a digital stethoscope http://tech4lifeenterprises.com/esteth/  http://esteth.com  and MDConsults: http://tech4lifeenterprises.com/mdconsults/  We are exploring how the MySignals Software (SW) and Hardware (HW) kits could be used to enhance Tech4Life’s products and mobile services they offer.

Mobile Application Developer – m-Health Solutions - CLOSED
Industry Partner: m-Health Solutions
Project Summary: This research project involves continuing collaboration with m-Health Solutions (http://www.m-healthsolutions.com ).  m-Health Solutions currently provides an auto detect/auto send and patient interactive hybrid mobile wireless External Recorder that transmits ECG through a Smartphone. This project involves: (1) creating data analytics and visualization tools; (2) designing and implementing algorithms to provide actionable insights for patients, cardiologist and service providers; and (3) exploring how new medical wearable devices may be used to more accurately collect medical information and to provide insights into treatments and advice.

Operations Associate - CLOSED
Industry partner: Caribou Health Technologies
Project Summary: As we prepare to launch in a new Toronto market, we are looking for a talented student to help with operations processes such as: new user onboarding, marketing and demand generation, customer support, data analysis, and reporting. This student will be a valuable member of the Caribou team and have significant opportunity for learning and development.

Graphic Designer / UI Designer - CLOSED
Industry partner: Caribou Health Technologies
Project Summary: At Caribou, we are on a mission to improve the lives of everyone in home care. Our technology helps home care agencies transform last-minute care worker capacity into on-demand care for families. We are looking for a passionate part-time graphic designer and/or UI designer to join our product team. Your work will directly impact the lives of people receiving care, people delivering care, and the families that are often left struggling to care for their loved ones.

Student Research Assistant – CLOSED
Name of Project: Mobile App Developer For Lifecycle Management of Mobile Devices

Mobile Application Developer – CLOSED
Industry partner: PointClickCare
Project Summary: Develop creative solutions using mobile and/or IoT technologies for senior living environments; behavioural human factor modelling and assessment; and predictive analysis using machine learning. The project is in collaboration with PointClickCare: https://pointclickcare.com/company/about-us/ PointClickCare is uniting the richest, post-acute data set with the most expansive, full-continuum network, giving care teams immediate, point-of-care access to deep, real-time insights at any stage of a patient’s healthcare journey. PointClickCare offers a single platform that spans care settings to enhance care transitions between visits, patient management within visits, and network optimization across visits. More than 26,000 skilled nursing facilities, senior living communities, and home health agencies rely on PointClickCare every day to build innovative solutions that transform the way care is delivered.

Machine Learning Data Analyst – CLOSED
Industry partner: Inovex + Osteoporosis Canada
Project Summary: The overarching goal of this research project involving Inovex, Osteoporosis Canada and Sheridan’s Centre for Mobile Innovation (CMI) is to explore and analyze Osteoporosis data through data science and machine learning techniques. The goal is to better understand the characteristics and interrelationships between patient self-reported data collected through this program to determine whether the variables can help predict comparative risk between patients enrolled in the program and to determine the predictors with insights that may lead to better prevention strategies.

Mobile Computing + Machine Learning Researcher – CLOSED
Industry partner: RBC
Project Summary: Mobile devices have physical and interaction limitations; however, machine learning approaches are showing promise on how to provide personalized content based on the user’s goals and their unique characteristics. Currently, Royal Bank of Canada (RBC) has a smartphone app for their clients that provides core banking functionalities, and relevant information for clients. However, there are limitations; RBC smartphone users want more relevant information and features. It is desirable to have a system that better understands the user's context, their unique perspectives, tasks and goals. This would be accomplished by creating accurate user models and a recommender system that would provide the most appropriate content to the user at a specific time and context.

This research will explore creating a recommender system that will provide the most appropriate content to the smartphone user based on their user model. Recommender systems predict the preference a user would give to a particular item. Recommender systems are used in a variety of areas, such as product suggestions for online stores, playlist generators for video and music, etc. These systems can operate using a single input, such as music, or multiple inputs within and across platforms like products, news, and search queries.

In this project, Sheridan’s Centre for Mobile Innovation (CMI) will work collaboratively with RBC to create a recommender system and a smartphone app that will provide relevant real-time content based on real-time assessments from the recommender system.

Mixed Reality Developer – CLOSED
Industry partner: Cloud DX
Project Summary: This research project involves continuing the collaborative work with Cloud DX. Cloud DX is a progressive medical company. Cloud DX won the 2017 XPRIZE recipient for 'Bold, Epic Innovation'. Since August 2017, many Sheridan students and faculty members have been involved in the research collaboration. Some of the faculty members included: Magdin Stoica, Rachel Jiang, David Horachek, and Ed Sykes. Our ‘Clinic of the Future’ includes a HoloLens application and a UWP app for a nurse’s station that use the real-time vitals from Cloud DX’s Vitaliti wearable.

In this phase of the project, we will be focusing on HoloLens application including research and creating prototypes as needed. The HoloLens application will support interaction of the medical practitioner with a remote patient. The SDK developed for connecting the medical device to the HoloLens also needs to be continuously maintained to suit the enhancements and will provide the software development tools to developers in one installable package. The SDK will support rapid, efficient, and innovative software solutions to be created for Android, iOS, and Microsoft platforms using Cloud DX’s Vitaliti device.

Application Developer – CLOSED
Industry partner: Cloud DX
Project Summary: This research project involves continuing the collaborative work with Cloud DX. Cloud DX is a progressive medical company. Cloud DX won the 2017 XPRIZE recipient for 'Bold, Epic Innovation'. Since August 2017, many Sheridan students and faculty members have been involved in the research collaboration. Some of the faculty members included: Magdin Stoica, Rachel Jiang, David Horachek, and Ed Sykes. Our ‘Clinic of the Future’ includes a HoloLens application and a UWP app for a nurse’s station that use the real-time vitals from Cloud DX’s Vitaliti wearable.

In this phase of the project, we will be focusing on enhancing the React native application to support both Android and IOS devices. The SDK developed also needs to be continuously maintained to suit the enhancements and will provide the software development tools to developers in one installable package. The SDK will support rapid, efficient, and innovative software solutions to be created for Android, iOS, and Microsoft platforms using Cloud DX’s Vitaliti device.

Student Research Assistant – CLOSED
Name of Project: Ontario's first Virtual Clinical Immersion Training (VCIT) program for Science and Engineering Talent

 

Student Research Assistant – CLOSED
Project Summary: Due to the extensive growth and diffusion of mobile devices (smartphones, tablets, smartwatches) and their increasingly powerful capabilities, many people use mobile devices both for personal and work-related activities. Mobile technologies also enable enterprises to become more efficient, more creative and, thus, more valuable to clients. These technologies are being used to support more efficient business processes through real-time communications, quick data access, notifications and business updates. Businesses are turning to mobile technologies for improved and responsive service delivery, operational efficiencies and active client engagement.

The project will look into two aspects:

• Physical Security: this will involve collecting data form various sensors of the mobile device and determine the health of the mobile phone/tablet. Accelerometers, gyroscope, compass etc. can be used to detect accidental falls or bumps. the app should be also able to monitor processor, RAM and storage space to find out about if the phones been overworking or not.
• Network Security: further to physical security, we want to use the computing power of mobile phones and detect anomaly and intrusion. Specifically for cellular network where the phone/tablet is not protected by layers of firewalls and IDPS systems. This will require “Fog” computing.

Mobile Developer and Data Analyst – CLOSED
Industry partner: Geotab
Project Summary: Geotab’s goal is to offer high resolution weather data for use by government, public and private organizations to improve safety and efficiency, optimize operations, and discover new solutions for infrastructure challenges such as traffic congestion, weather prediction, and poor road conditions. Geotab’s GO device can sense the vehicle’s position and orientation in real-time with a 3D gyroscope and 3-axis auto-calibrating accelerometer. The device can also facilitate real-time sensor monitoring including outside temperature and barometric pressure.

The research to be carried out will evaluate the potential of image classification methods for detecting road conditions by processing data collected from mobile dash cameras and Geotab’s GO device. We will create a cloud-based mobile system focused on video analysis and image recognition that are a priority for municipalities (i.e., road conditions, road signs and visibility, etc.).  The classification data will then be sent back to Geotab’s platform for further analysis and integration into Geotab’s Drive Mobile Application. We believe this project will be of substantial business value to Geotab, that could scale well, and be beneficial to municipalities.

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Machine Learning Data Analyst – CLOSED
Industry partners: Inovex + Osteoporosis Canada
Project Summary: The overarching goal of this research project involving Inovex, Osteoporosis Canada and Sheridan’s Centre for Mobile Innovation (CMI) is to explore and analyze Osteoporosis data through data science and machine learning techniques. The goal is to better understand the characteristics and interrelationships between patient self-reported data collected through this program to determine whether the variables can help predict comparative risk between patients enrolled in the program and to determine the predictors with insights that may lead to better prevention strategies.

The following provides an overview of the main activities in this project:

1. Data cleaning of Osteoporosis data (e.g., based on Ontario Osteoporosis Strategy’s Baseline Questionnaire and other relevant datasets);
2. Feature extraction (and dimensionality reduction, if necessary);
3. Data exploration; feature interdependencies analysis;
4. Selection of appropriate candidate Data Science techniques and Machine Learning Algorithms;
5. Train Machine Learning models based on selected or curated datasets;
6. Evaluating the ML models and results;
7. Refine the ML models as needed to improve performance and accuracy;
8. Determine the predictors with insights that may lead to better treatment and prevention strategies; improve the Fracture Prediction and Prevention Program and other programs accordingly; and
9. Additional research activities as time and resources permit.

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LMS Designer – CLOSED
Industry partner: Nevvon
Project Summary: Increasing attention has been drawn to the critical shortages in trained healthcare personnel throughout the world. In North America, there are critical shortages in health work force density with a projected deficit of millions of home health care workers. Investing in the training and ongoing development of the healthcare work force is considered among the most effective means of improving health outcomes.

Nevvon is taking its system to the “next level” and is looking for a product person to help research and design new features on the system.

The position includes:

1. Researching existing leading LMS (Learning Management Systems) in the world
2. Designing new features and processes for the system
3. Building and leading product development process in the company
4. Quality Assurance and Software Testing

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Mobile Application Developer – CLOSED
Industry partner: Nevvon
Project Summary: Increasing attention has been drawn to the critical shortages in trained healthcare personnel throughout the world. In North America, there are critical shortages in health work force density with a projected deficit of millions of home health care workers. Investing in the training and ongoing development of the healthcare work force is considered among the most effective means of improving health outcomes.

Under the direction of Nevvon and Dr. El Sayed Mahmoud, the CMI has created a version of Nevvon’s mobile app using Flutter. In this project, you will work on continuing to design, develop and refine the Flutter app using leading-edge frameworks. Future, exciting enhancements will be conducted, if time permits.

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Mobile QA – CLOSED
Industry partner: Nevvon
Project Summary: Increasing attention has been drawn to the critical shortages in trained healthcare personnel throughout the world. In North America, there are critical shortages in health work force density with a projected deficit of millions of home health care workers. Investing in the training and ongoing development of the healthcare work force is considered among the most effective means of improving health outcomes.

Under the direction of Nevvon and Dr. El Sayed Mahmoud, the CMI has created a new version of Nevvon’s mobile app using Flutter. In this project, you will be performing QA to improve the design and functionality of Nevvon’s mobile app. There will also be opportunities to apply your QA skills and knowledge to other Nevvon software products, as time permits.

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Mobile App Dev + ML Integrator – CLOSED
Industry partner: RBC
Project Summary: Mobile devices have physical and interaction limitations; however, machine learning approaches are showing promise on how to provide personalized content based on the user’s goals and their unique characteristics. Currently, Royal Bank of Canada (RBC) has a smartphone app for their clients that provides core banking functionalities, and relevant information for clients.  However, there are limitations; RBC smartphone users want more relevant information and features. It is desirable to have a system that better understands the user's context, their unique perspectives, tasks and goals. This would be accomplished by creating accurate user models and a recommender system that would provide the most appropriate content to the user at a specific time and context.

This research will explore creating a recommender system that will provide the most appropriate content to the smartphone user based on their user model. Recommender systems predict the preference a user would give to a particular item. Recommender systems are used in a variety of areas, such as product suggestions for online stores, playlist generators for video and music, etc. These systems can operate using a single input, such as music, or multiple inputs within and across platforms like products, news, and search queries.

In this project, the RBC and Sheridan’s Centre for Mobile Innovation (CMI) team will continue the collaboration commenced in the Fall of 2021 to create a dynamic smartphone PoC app that will provide relevant real-time content based on real-time assessments from an intelligent recommender system.

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Virtual Reality (VR) Application Developer – CLOSED
Industry/Community partners: MedTech Canada, Ryerson University, Unity Health Toronto, Sheridan CMI
Project Summary: The Sheridan team will create a Virtual Reality (VR) environment as a modality for training and learning about medical technologies. This project started in summer 2021. Currently, we have an initial VR environment that illustrates several features of our VR medical training facilities. Please see: https://www.youtube.com/watch?v=7K7lxBOMTqU&t=1s

Milestone 1. Modeling the Operating Room for VR. This aim of this milestone is for the design/development team to learn about the design and configuration of typical Operating Rooms (OR) and the medical equipment in an OR. This knowledge will enable direct translation of real-world workflows and OR functionality into a VR design. In this milestone, we will determine the degree of desired interactivity with the medical equipment in the VR environment. We will also determine the appropriate characteristics, functionality and workflows so that the VR environment will mirror the expectations that a surgeon would expect in real world scenarios.

Milestone 2. Extend the Initial VR prototype. In this phase of the project we will apply the knowledge gained to enhance the initial VR prototype. Surgeons, clinicians and/or other stakeholders will be able to explore the VR environment and provide feedback that will inform next steps in the design and development process. Some basic VR interaction with selected Operating Room equipment will be incorporated into this initial prototype.

Milestone 3. Create a Minimum Viable Prototype (MVP). This milestone involves applying the knowledge gained from the previous milestone activities to extend the initial prototype, incorporate the feedback from various stakeholders (surgeons, clinicians, nurses, and others as appropriate) to create a minimum viable prototype (MVP).

** Submit your application to David: david.horachek@sheridancollege.ca

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Mobile app developer for lifecycle management of mobile devices – CLOSED
Industry partner: SOTI Inc.
Project Summary: Due to the extensive growth and diffusion of mobile devices (smartphones, tablets, smartwatches) and their increasingly powerful capabilities, many people use mobile devices both for personal and work-related activities. Mobile technologies also enable enterprises to become more efficient, more creative and, thus, more valuable to clients. These technologies are being used to support more efficient business processes through real-time communications, quick data access, notifications and business updates. Businesses are turning to mobile technologies for improved and responsive service delivery, operational efficiencies and active client engagement

The project will look into two aspects:

• Physical Security: This will involve collecting data from various sensors of the mobile device and determining the health of the mobile phone/tablet. Accelerometers, gyroscope, compass etc. can be used to detect accidental falls or bumps. The app should also be able to monitor processor, RAM and storage space to find out if the phone has been overworking or not.
• Network security: Further to physical security, we want to use the computing power of mobile phones and detect anomaly and intrusion. Specifically for cellular network where the phone/tablet is not protected by layers of firewalls and IDPS systems. This will require “Fog” computing.

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Student Research Assistant – CLOSED
Name of Project: Mobile App Design and Development
Industry partner: ThinkResearch
Project Summary: ThinkResearch has two virtual healthcare applications that connect doctors with patients. The first is a Web App designed for desktops and laptop devices only; the second is a mobile app that aims to be device agnostic; however, there are limitations when used on different mobile devices (e.g., variations in tablet and/or smartphone screen size, resolution and features). ThinkResearch is interested in creating a single Progressive Web App (PWA) that will be suitable for all desktops, laptops, tablets and smartphones.

In 2017, Sheridan’s Centre for Mobile Innovation (CMI) was formed to create innovative solutions to industry-relevant challenging problems in collaboration with our industry, community and academic partners. In this project, ThinkResearch and Sheridan's CMI will create a progressive web app (Proof of Concept (PoC)) which will aim to provide the following benefits: 1) a single code base that will reduce maintenance costs and software release time; 2) leverage the investment ThinkResearch has put into building a custom testing and automation framework; 3) leverage user analytics tools currently available only in ThinkResearch.

** Submit your application to Jenelle: jenelle.chen@sheridancollege.ca

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Machine Learning Data Analyst - Full-time Co-op position - CLOSED
Industry partner: Rogers (May-June), Inovex + Osteoporosis Canada (July-Aug)
Project Summary: This co-op position is comprised of 2 main phases. The first phase involves research with Rogers (May-June with Dr. Mahmud). The second phase involves research work with Inovex and Osteoporosis Canada (July-Aug with Dr. Sykes). Both activities are in the area of machine learning.

First Phase (Rogers):
For network operators both 5G and IoT offer huge potential as well as immense challenge. With expected numerous network-connected devices, and orders of magnitude increased available bandwidth to these devices, network operators must plan their network properly to handle the deluge of traffic generated by unforeseen and unpredicted applications of future.

Second Phase (Inovex and Osteoporosis Canada):
The overarching goal of this research project involving Inovex, Osteoporosis Canada and Sheridan’s Centre for Mobile Innovation (CMI) is to explore and analyze Osteoporosis data through data science and machine learning techniques. The goal is to better understand the characteristics and interrelationships between patient self-reported data collected through this program to determine whether the variables can help predict comparative risk between patients enrolled in the program and to determine the predictors with insights that may lead to better prevention strategies.

Application Developer - Full-time Co-op position - CLOSED
Industry partner: Eleway Labs
Project Summary: Eleway Laboratories has created a smart suit that enables you to strengthen your muscles while in resting positions. Using cutting edge technology and a revolutionary new software, we provide personalized workouts that are recorded by fitness professionals, tailored by biomedical experts and delivered directly to your muscles while you lay down and relax in the comfort of your bed. Our goal is to use this technology to help individuals around the globe recover from conditions that cause muscle loss and help build a strong body they can be proud of every day.

Application Developer - Research Assistant - Full-time Co-op position - CLOSED
Industry partner: Closing the Gap
Project Summary: The scope of this project is to build a web interface for a client portal to allow CTG’s clients (actual patients receiving treatment) access to specific relevant information. This portal would be integrated in real-time with the MS Dynamics CRM platform. This project started in Sept 2018 and we currently have an early stage prototype. In the Winter term, we are planning to continue and refine the development of the system.

Web/Mobile Developer Research Assistant - m-Health Solutions - Full-time Co-op position - CLOSED
Industry partner: m-Health Solutions 
Project Summary: The goal of this project is to develop new web services that collect information from home-healthcare devices and transmit this information to a web and a mobile app. 

AR/MR Mobile Application Developer - Cloud DX- Full-time Co-op position - CLOSED
Industry Partner: Cloud DX    
Project Summary: This research project involves continuing the collaborative work with Cloud DX in creating the Clinic of the Future. Cloud DX is a progressive medical company led by Dr. Sonny Kohli. We developed a Hololens application and a Clinic of the Future UWP app. The apps use Cloud DX’s Vitaliti wearable device.

Mobile Application Developer - Research Assistant - Full-time Co-op position - CLOSED
Industry partner: PointClickCare
Project Summary: Improving Senior care by creating Smart Home environments; behavioural human factor modelling and assessment; and predictive analysis using machine learning.  Creating and researching in a Smart Home environment using commercially available components (wireless sensors, door/window sensors, motion sensors, cameras, etc.) in combination with wearables (FitBit, watches, etc.) to capture biometric information (heart pulse rate, SPO2, BP, step count, etc.).

AR/MR Mobile Application Developer - Cloud DX- Full-time Co-op position - CLOSED
Industry Partner: Cloud DX   
Project Summary: This research project involves continuing the collaborative work with Cloud DX in creating the Clinic of the Future. Cloud DX is a progressive medical company led by Dr. Sonny Kohli. We developed a Hololens application and a Clinic of the Future UWP app. The apps use Cloud DX’s Vitaliti wearable device.