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Meet the 3MT participants

Faculty of Business and Information Technology

  • Ibtihal Ellawindy


    Computer Science (MSc)


    Shahram Heydari, PhD


    QoE and Importance for Multimedia Streaming

    The majority of Internet traffic nowadays is multimedia content such as on-demand video, video streaming and live video stream. Internet usage has shifted towards content-centric rather than host-centric. With such evolution, the need of quality measures has emerged. Quality of Experience (QoE) is one of the major measurements techniques used to quantify user perception of an application.

    My research is focused on Quality of Experience (QoE) of multimedia streaming over software defined networking (SDN). QoE is considered one of most important and hardest measurements as it is mostly focused on measuring the user-perceived experience and how users affect the multimedia streaming experience. QoE evaluation is a very challenging topic because of its complexity as well the presence of many interrelated influence factors, not only human but also from system and context perspective. QoE is considered a multi-dimensional construct.

    QoE is not some predefined criteria that can be generally used with all types of applications. QoE is context-oriented and defined by the domain that the application belongs to. Each application should have a set of identified QoE parameters that are important for its success.

    There are several factors that could affect QoE. Some of these factors can be identified, measured and impacts are known in advance. However, other factors cannot be predicted neither quantified as well it’s hard to forecast their impacts as it’s totally dependent on certain situations and factors. There are three main factors that influence QoE: human, system and context.

    ABOUT Ibithal

    I love traveling as it broadens your mind and lets you see life from a different perspective. I like to experience different cultures and learn about them. I like to hike especially mountains, as I believe nature can help you to regain your energy and clear your mind. I am passionate about fine dining and trying different food and cultures. I like to read thriller and mystery novels. And I love doing yoga.

Faculty of Energy Systems and Nuclear Science

  • Julie Kim


    Nuclear Engineering (MASc)


    Brian Ikeda, PhD and Jennifer McKellar, PhD


    Breaking the Nuclear Waste Taboo

    Public-friendly approach to understanding the real impacts of nuclear waste.

    Life Cycle Assessment (LCA) of the nuclear waste cycle reveals palpable values of environmental impact that both the industry and public can appreciate. While LCA has been widely applied to society's large waste processing streams (such as water, landfill and recycling), there has been little success in application to nuclear waste. This is due to a number of difficulties such as lack of data and variability of solutions. Despite the challenges, the outputs of LCA is a worthwhile inventory of the actual impacts of nuclear waste. The results may start to abridge sentiments towards nuclear waste which has long been stigmatized by society.

    ABOUT Julie

    Julie is an avid reader, a lover of naps (on sandy beaches), and an award-winning curler!

  • Enoch Li

    ProgramEnoch Li

    Nuclear Engineering (MASc)


    Glenn Harvel, PhD and Jennifer McKellar, PhD


    Advanced Electric Technology for Nuclear Industry

    Power electronics technology and DC electrical distribution system is one of the most advanced in power distribution systems which promises a lot of features that conventional AC systems cannot achieve. These features can benefit a nuclear power plant to improve its efficiency and safety. Therefore, a DC electrical system for a nuclear power plant  is designed , and the technological and economic comparisons show some significant potential improvements. However, there are sill a lot of technological and regulatory challenges that need to be addressed.

    ABOUT Enoch

    I play piano and try to learn a wide range of knowledge.

  • Alexander Miller

    ProgramAlexander Miller

    Nuclear Engineering (PhD)


    Rachid Machrafi, PhD


    Investigation of the Bubble Detector Response to Radiation in Space

    The radiation environment on board spacecraft includes a complex mixture of neutrons, photons, protons, heavy ions and other charged particles. The complexity of the radiation environment within spacecraft makes accurate measurements of radiation dose very difficult to achieve. Neutron radiation exposure is believed to be responsible for approximately 30 to 50 per cent of the total equivalent dose that astronauts receive. Neutrons are particularly hard to measure accurately since they are uncharged particles that interact with matter in many complicated ways, which vary significantly with incident energy. Super-heated droplet detectors are a class of radiation detectors that generate bubbles when exposed to high linear energy transfer (LET) radiation. Measurements with a specific class of super-heated drop detectors called bubble detectors have been used to evaluate equivalent dose due to neutrons in various space missions including the Matroshka-R radiation monitoring program on the International Space Station (ISS) and other spacecraft as well as the RaDI-N program on the ISS. The number of visible bubbles within a bubble detector after a given exposure is expected to be directly proportional to the total neutron dose. However, protons and other heavy charged particles on board spacecraft are a significant component of the high LET space radiation field and they definitely contribute to the production of visible bubbles. The response of bubble detectors to heavy ion irradiation present within spacecraft is not known. Furthermore, the calibration of bubble detectors is typically established by exposing the detectors to a known Americium Beryllium (AmBe) neutron field (with energies from 0 to 11 MeV). However, the space neutron field is considerably different from the AmBe field and consequently, the calibration used does not apply to space environments.

    In order to establish a reliable model of the bubble detector response to radiation in space environments, an accurate model of the mechanism of bubble formation has to be known. Current models assume that bubbles are formed as a result of radiation interactions that is above certain minimum LET threshold. But previous experiments cited in the literature have shown that the LET threshold may be different for different ions.

    The objectives of this thesis are to investigate the response of bubble detectors to high LET radiation encountered in space environments. In particular, to establish an effective physical model of the mechanism of bubble formation in these detectors based on their physical properties and the ion track structure and determine the contribution of neutrons, protons and heavy charged particles to measurements in space.

    ABOUT Alexander

    I am a PhD student in FESNS. Originally from the east coast, I did my undergrad in physics at Dalhousie University in Halifax, Nova Scotia. I would say that studying physics is the closest thing I have to a hobby!

Faculty of Engineering and Applied Science

  • Mohammad Dawodi

    ProgramMohammad Dawodi

    Electrical and Computer Engineering (MASc)


    Ying Wang, PhD


    Welcome to the Driverless World

    The modern world is moving in a direction where more and more intelligent systems are required. These systems encompass many spheres of our lives. Recently automobile industries are looking for solutions where vehicles are intelligent enough to make decisions on their own with minimum human intervention. To accomplish this, vehicles are to be integrated with radars that can relay the desired information to the artificial mechanical systems to take the corrective actions. Thus it can be said that radars are the building blocks of these new vehicles.

    Now radars are the wireless system which are implemented using the integration of various RF modules/components. One such important component is filter. The presentation will cover a novel SIW-based filter design for automotive radar technology to be employed in the new emerging autonomous vehicle industry.

  • Taylor Egan

    ProgramTaylor Egan

    Electrical and Computer Engineering (MASc)


    Hossam Gaber, PhD and Ruth Milman, PhD


    Powering Resilient, Interconnected Transportation Infrastructures

    The current energy infrastructure is fragile and prone to failures due to a multitude of reasons. The most common reasons for disruptions are due to natural disasters, such as hurricanes, floods and ice storms, however, other concerns are becoming more mainstream, such as terrorism, cyber-attacks, geopolitical conflicts and dwindling fossil fuel reserves to name a few. In Canada, the transportation sector accounts for 30 per cent of secondary energy use, due to our heavily reliance on the movement of humans and economic goods. The objective is to design resilient, interconnected microgrids with an appropriate control architecture to support the railway infrastructure. A microgrid is a small-scale electric grid which includes distributed energy resources, energy storage systems and loads, and can operate either parallel or independently from the utility grid. When coupled with an electric transportation network, the microgrid can become useful in supporting the transportation network during regular operation, and emergency events. A grid-connected microgrid will be designed to include a photovoltaic system, wind turbine, and battery energy storage system. In addition, the microgrid will also take advantage of the recovered energy from the train when it is braking and store the energy for later use. Key performance indicators are defined and used to evaluate the resilience of the microgrid. The flow of energy between all assets is managed through a supervisory control architecture, which is designed to maximize the resilience of the overall system.

    ABOUT Taylor

    2016 Queen Elizabeth II Diamond Jubilee Scholar who traveled to Universiti Teknologi Malaysia for three months to study the performance of solar technology in tropical Malaysia climate.

  • Mehran Kamkarhaghighi

    ProgramMehran Kamkarhaghighi

    Electrical and Computer Engineering (PhD)


    Masoud Makrehchi, PhD


    Global-Local Document Embedding

    Only humans can understand and comprehend the actual meaning that underlies natural written language, whereas machines can form semantic relationships only after humans have provided the parameters that are necessary to model the meaning. To enable computer models to access the underlying meaning in written language, accurate and sufficient document representation is crucial. Recently, word embedding approaches have drawn much attention in text mining research. One of the main benefits of such approaches is the use of global corpuses with the generation of pre-trained word vectors. Although very effective, these approaches have their disadvantages. Relying only on pre-trained word vectors may neglect the local context and increase word ambiguity. In this study, first a new approach, Content Tree Word Embedding, is introduced to mitigate the risk of word ambiguity and inject a local context into globally pre-trained word vectors. The proposed approach is basically a framework for document representation while using word embedding feature learning. The content tree word embedding structure is locally learned from training data and ultimately represents the local context. While the content tree word embedding is constructed, each word vector is updated based on its location in the content tree. For the task of classification, the results show an improvement in F-score and accuracy measures when using two deep learning-based word embedding approaches, namely GloVe and Word2Vec.

    For the future works another approach is proposed: Embedded-based Word Clustering, a new approach for document representation, to enhance the efficiency of the Glove and Word2Vec. Embedded-based word clustering builds word clusters based on their deep learning-based word vectors and presents documents by using the bag-of-clusters approach. The primary results show an improvement in F-score and accuracy measures for the sentiment classification task applied to IMDB Movie Reviews as a benchmark dataset.

  • Neil Seward

    ProgramNeil Seward

    Electrical and Computer Engineering (MASc)


    Masoud Makrehchi, PhD


    Supervised and Unsupervised Learning in Basketball

    In the world of sports, there is a growing need for more detailed team and player performance analysis. For years now, different sports have had different forms of collecting and analyzing that performance data. The classic methods have always been analyzing box score statistics and play-by-play annotations. More recently, several sports have introduced player and ball tracking technology that enables researchers to observe performance at a fine-grained level. For analysts researching basketball, this enables them to look at the exact movements of 10 players and a ball throughout an entire game.

    As players move throughout a possession and over an entire basketball game, their trajectories can be represented in a visual format. Depending on whether the player is on offense or defense, the trajectory can be represented in different colours and can have additional shading to represent the passage of time in the movement. By representing movement over a possession in a visual format, we can pose several basketball-related problems as translations of deep learning problems. In my thesis, I explore this data in detail using various deep learning methods to perform different supervised and unsupervised learning tasks.

    ABOUT Neil

    I enjoy skateboarding, filming skateboarding and money laundering investigations.

Faculty of Health Sciences

  • Andrew Cregg


    Health Sciences (MHSc) - Kinesiology


    Lori Livingston, PhD


    How Does Footrest Height Affect Lumbar Spine Posture, Muscle Activation and Balance?

    Introduction: Previous research suggests that both sitting and standing can lead to low back pain (LBP) over a prolonged period of time. Recently, sit-stand desks have gained popularity in the workplace to promote a dynamic postural approach that utilizes both seated and standing postures. To prevent LBP further, the Canadian Centre for Occupational Health and Safety has recommended the use of a footrest during prolonged standing. Footrest usage results in a significant increase in lumbar spine flexion, improved comfort levels and potentially characteristic muscle activation patterns. Limited research has focused specifically on how footrest heights can affect the body. This study aims to understand how footrest height affects lumbar spinal posture, muscle activation patterns, and centre of pressure (COP) when compared to flat ground stance.

    Methods: Sixteen young, healthy participants (8 male, 8 female) will complete a standardized typing task at a standing desk over four trials lasting 15 minutes each. Trials will begin with flat ground stance (FG) followed by three randomized footrest conditions (for example, the use of 10 cm, 20 cm and 30 cm footrests). Participants will be outfitted with wireless surface electromyography (sEMG) using a Trigno EMG system placed bilaterally over 4 sites bilaterally, the lumbar erector spinae (2 sites), gluteus medius and tensor fascia lata muscles. An Optotrak 3D Investigator Active Marker System will collect thoracic, lumbar, pelvic and thigh kinematic data. Two portable force platforms will be used to track weight distribution and COP. One platform will be on the ground (support limb) while the other platform will be mounted on top of the footrest (elevated limb). Ratings of Perceived Exertion (RPE) will be collected every five minutes as a secondary outcome measure.

    Expected results: Footrest trials are expected to result in significantly different lumbar postures, EMG activity, weight distribution and COP variability compared to flat ground stance and lumbar posture is expected to minimally vary with increased footrest height. The 30 cm footrest should demonstrate the largest lumbar flexion angle and closely resemble a seated position. During flat ground stance, EMG activity is expected to be bilaterally symmetrical. During the footrest trials, EMG activity is expected to be highest in the support limb and lowest in the elevated limb. Body weight is expected to be heavily distributed towards the stance limb in all footrest conditions with the 30 cm footrest representing the most uneven distribution while COP variability is expected to increase in both limbs as the height of the footrest increases.

    ABOUT Andrew

    I am currently practicing as a chiropractor in downtown Toronto within the business district. I recognized that many patients were asking questions about standing desks and how they may benefit from using them. This led me to pursue research in this area.

    On a personal note, I grew up down the street from the university and have fond memories of attending Durham College volleyball and basketball games as a child long before UOIT was an institution. Three of my four brothers have attended UOIT and both of my parents have been involved in the Bachelor of Education interview process for many years. It is safe to say that I have a strong familial bond with UOIT.

  • Nayantara (Tara) Hattangadi