Neural Network Model for Predicting NBA Shot Outcome

As the game of basketball evolved, analysis of the game has also grown from taking average of field goal percentage to more complex analytics. In the 2013-2014 season, the NBA has installed the SportVU Player Tracking technology in every NBA arena. SportVU collects 25 frames of data per second, each frame containing the (x,y) coordinates […]

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Build Cross Platform Mobile application supporting various screen resolutions

Diversity among the mobile platforms requires an application developer to develop separate applications for each platform. Reason for this is the unique technological support and features that each platform comes embedded with. To use the features associated with any particular platform, we need to use the underlying SDK supported by that platform. Major market share […]

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Federation of heterogeneous data sources for the linked data back-end in the Gold Fish mobile application

The overall goal is to create the backend of a mobile personal organizer that suggests professional events (conferences, colloquia, workshops, exhibitions) and contacts to establish while attending events, to members. Currently, the target audience are professionals in the biomedical domain. Given the need to feed data and meta-data from heterogeneous sources into the application, the […]

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Design and Development of a Secure Online Platform for Real-Estate Transactions

ExactDeposit is an online tool that enables real-estate buyers to pay deposits on real-estate transactions electronically via credit or debit card. In addition to facilitating the deposit transaction, it will allow real-estate brokers and agents to log in and view transaction statistics both in real-time and historically. The tool will provide a user-friendly online form […]

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Adaptive and Emotionally Aware Chatbots

This research focuses on the development of machine learning and natural language processing techniques for automated textual dialog systems called chatbots. More specifically, we will develop algorithms to allow chatbots to adapt to new topics and concepts in open ended domains. We will also develop algorithms to recognize the emotions of users through their text […]

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Flow Optimization for Disaster Recovery in Software-Defined Networks

The concept of Software-Defined Networking (SDN) has recently gained significant attention as a practical and flexible way to create programmable networks, where new network services can be deployed or dynamically adjusted with ease. One application of this concept could be in enhancing the reliability and survivability of backbone communication networks. The main objective of this […]

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“KnowMe Privately” – Conceptual design and prototypical implementation of a privacy-preserving, consumer-facing health portal service for active patient engagement and increased provider awareness

The aim of the project is to design effective informational security and privacy controls for a new type of patient health portal that will empower patients to share contextual information about their values, priorities and beliefs with members of their extended circle of care. Knowing “what matters” to patients is important for clinical decision-making in […]

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Taking SickKids Mobile

Taking SickKids Mobile is an initiative of the Hospital for Sick Children (SickKids) that explores the use of mobile technologies for enhancing patient care. It includes six sub-projects, three of which relate to improving current patient care processes and three focus on making existing services more effective and easier to use. The reach of these sub-projects ranges from […]

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Junior hockey competence analytics

Analytics is about awareness of the states of knowledge of users. Users can become aware of their owns states of knowledge at different levels. Analytics measures such levels of each user, and engages them in taking initiatives to hop from one knowledge state to the next. The hops happen mostly gradually, depending on the capacity […]

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Identifying transportation mode based on smartphone sensor data using machine learning tools and statistical methods

Detecting an individual’s transportation mode has an invaluable role in applications, by allowing the application to be aware of user’s current context, and modify their functionality accordingly. There has been numerous research in this area, each using a different approach and achieving different outcomes. The goal of this internship to better understand the state of […]

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