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We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

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FEAS project summaries

Supervisors

Ahmad Barari

Akramul Azim Brendan MacDonald Carlos Rossa Ghaus Rizvi
Langis Roy Martin Agelin-Chaab Mohamed Z. Youssef Atef Mohany Ramiro Liscano
Ruth Milman Sayyed Ali Hosseini Scott Nokleby
 
 
Supervisor name:  Ahmad Barari, PhD
Project title:  Design and Development of Multi-material 3D Printing System

Summary of research project:  This project focuses on developing a novel 3D Printing machine for high precision printing of multi-materials to produce composites and functionally graded materials in manufacturing of smart parts and products. The student will work with a team of graduate students on various hardware and software aspects of the project. Including path planning, process control, process monitoring, and machine structural design.

Student responsibilities/tasks:  Work with a team in literature review, analysis, CAD design, programming, tests and experiments, and documentation.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

A student in any of the FEAS programs (or FBIT) with strong computer background can work in this multi-disciplinary project.

Expected training/skills to be received by the student: 

  • How to research
  • How to design
  • How to manufacture
  • Metrology
  • CAD/CAM

Award available: Ontario Tech STAR Award or NSERC USRA


Supervisor name:  Akramul Azim, PhD
Project title:  Design and Development of Autonomous Disinfecting Robots

Summary of research project:  One of the major challenges during the COVID-19 pandemic is frequent disinfecting. This is very critical for places like hospitals and long-term care homes. In most places, human operators perform the cleaning but it may cause them to be infected with the virus. The objectives of this projects are:

  1. Safety and performance improvement, and
  2. Multi-mode operation for developing an efficient autonomous disinfecting robot.

This improvement would allow hospitals to disinfect the hospital surfaces on a more frequent basis than is possible with human cleaners and also simultaneously to increase the quality of cleaning by ensuring that some surfaces are not missed due to human error and neglect.

Student responsibilities/tasks:  We aim to investigate operational safety and performance aspects of a disinfecting robot which can be useful for the design and development of a reliable and efficient disinfecting system to fight COVID-19 and beyond. In multi-mode operation, the goal is to operate the system in different configurations for various situations based on a set of constraints.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

Programming skills are required.

Expected training/skills to be received by the student: 

  • Design and development of an autonomous system
  • Machine learning
  • Reporting and documentation
  • Periodic meetings

Award available:  Ontario Tech STAR Award or NSERC USRA


Supervisor name:  Brendan MacDonald, PhD
Project title:  Development and testing of external heat engines

Summary of research project:  External heat engines are capable of providing power from a wide range of heat sources, since the heat is external to the piston cylinders. This can include sustainable sources such as wood, waste, solar, etc., which means these engines have a high potential to provide sustainable power. The Stirling engine is an external heat engine with high promise, and we are developing prototype engines with some new technological advantages to produce competitive and commercially viable engines. This work includes design work, analysis, and experimental testing.

Student responsibilities/tasks:  There are many tasks required for our current external heat engine prototyping. The tasks are primarily related to examining aspects of the engine design and improving them. This can include numerical modelling of engine parts, building/running experiments to analyze designs, or testing with current prototypes. Specific tasks will be determined with the student to ensure interest and compatibility.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

The only qualifications are that the student should be curious, have a passion for discovery, and be honest. It is beneficial for the student to have thermodynamics, fluid mechanics, and/or heat transfer knowledge. Hands-on experience can also be beneficial for the engine building and testing aspects (this is not essential).

Expected training/skills to be received by the student: 

The student will be trained in:

  • Solving engineering problems, most importantly in diagnosing the causes of problems.
  • Engine cycles, and the thermodynamics of engine cycles, and how the theory can be applied to improve actual physical engines.
  • Critical analysis of engineering designs, through brainstorming sessions and experimentation.
  • Sustainability and the different ways technology can improve our sustainability.

 Award available:  Ontario Tech STAR Award or NSERC USRA


Supervisor name:  Carlos Rossa, PhD
Project title:  Sensor fusion for hybrid simultaneous localization and mapping for structural firefighters

Summary of research project:  In this project the student will develop the next generation of the a smart helmet for simultaneous localization and mapping of structural firefighters. The helmet has mounted Lidar and mmWave sensors that are used to create a map of the environment and locate the firefighter in that map. As the firefighter enters a building, the helmet continuously scans their surroundings to locate walls and obstacles. mmWave is a new sensing technology that can be used to detect objects while providing the range, velocity and angle of these objects. Due to the technology’s use of small wavelengths, it can provide sub-mm range accuracy. The new helmet will be able to see through fog and heavy smoke.

Student responsibilities/tasks:  At the end of the project, the student will have developed and tested a fully functional prototype of the system that includes a brand-new redesigned helmet integrating several mmWave sensors. The student will develop a new algorithm to fuse readings from all sensors and create a robust localization and mapping software.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

  • Mechatronics students (3rd or 4th year) with past experience with ROS and SLAM are encouraged to apply.
  • Strong programming skills are required.

 Expected training/skills to be received by the student: 

  • Programming
  • Path planning
  • Robot operating system
  • Simultaneous localization and mapping
  • Sensors and instrumentation
  • Sensor fusion and integration

Students will learn how to conduct research and development and translate complex ideas into working prototypes.

Award available:  Ontario Tech STAR Award or NSERC USRA


Supervisor name:  Ghaus Rizvi, PhD
Project title:  Manufacturing and characterization of new biocomposites for bone tissue scaffolds produced by additive manufacturing

Summary of research project:  We are using 3D printing to manufacture tissue scaffolds. The scaffolds provide a suitable environment to help and improve native bone cell growth for a short period during which the new native cellular structure replaces the polymeric tissue scaffold which undergoes biodegradation.

We will use Polycaprolactone (PCL) and Polylactic-acid (PLA). Hydroxyapatite (HA) and a natural polymer (chitin, chitosan, cellulose etc.) will be used as fillers to improve and control the properties of the scaffolds.

This study will involve characterization of the new composites including mechanical properties and biodegradation of the new composites in a CO2 stabilized incubator.

Student responsibilities/tasks:  The student will be expected to help the graduate student in preparing CAD drawings and use the 3D printer to build the scaffolds. The student will also help in carrying out other experimental and characterization work under the supervision of the graduate student. This help will also include data interpretation and analysis in order to generate appropriate reports.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

The student should have completed at least second year of engineering (minimum grade: B).

Expected training/skills to be received by the student: 

  • Use of CAD software to draw tissue scaffolds
  • Use of 3D printers
  • Mechanical testing
  • Morphological analysis

Award available:  Ontario Tech STAR Award or NSERC USRA


Supervisor name:  Langis Roy, PhD
Project title:  Design and test of advanced wireless components

Summary of research project:  Advanced wireless components such as radio-frequency antennas and miniature transmitters/receivers are urgently needed for 5G, Internet of Things (IoT) and autonomous vehicle applications. The student will design, build and test new integrated filters, antennas and sensors in the 1-10 GHz range, realized with emerging ink-jet printed/flexible substrate technologies. Concepts such as active component reconfigurability due to changing field conditions will be investigated.

Student responsibilities/tasks: 

  1. Design and optimize novel microwave (1-10 GHz) wireless components using the Advanced Design System or equivalent software simulation tool.
  2. Build prototypes of promising designs using planar integrated substrate technologies.
  3. In conjunction with graduate students and researchers in the group, test prototypes using advanced microwave measurement equipment (e.g. network analyzer).
  4. Prepare and deliver written/oral reports for the group.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

A student with 3rd year standing or higher in an Electrical Engineering program, with strong interest and capability in circuit design, electromagnetics and wireless systems.

Expected training/skills to be received by the student: 

  • Application of electromagnetic theory and circuit design techniques to advanced wireless component development.
  • Understand trade-offs between component performance and manufacturability.
  • Learn microwave measurement techniques (transmission, reflection, radiation, absorption) using state of the art test equipment.
  • Develop research teamwork skills and report preparation and presentation capabilities.
  • Discover industry sectors such as 5G, IoT, autonomous vehicles.

Award available:  Ontario Tech STAR Award or NSERC USRA


Supervisor name:  Martin Agelin-Chaab, PhD
Project title:  Aerodynamic devices that minimize soiling of road vehicles

Summary of research project:  Automotive aerodynamics covers a wider domain than just the aerodynamic forces and moments experienced by vehicles in motion. The deposition of rain, soil and other contaminants, which are influenced by aerodynamics, impair safety and is of great concern to aerodynamicists. This is more critical with the emergence of autonomous vehicles which greatly depend on numerous sensors for navigation. The proposed project aims to develop and test active aerodynamic devices and strategies to minimize soiling of surfaces on vehicles that must be kept clean.

Student responsibilities/tasks: 

  1. Develop active aerodynamic devices to minimize rear surface contamination by the dirt-laden airstream.
  2. Use CFD to optimize the devices before 3D printing scale models.
  3. Assist in setting up the experiments and calibrating a model wind tunnel for testing.
  4. Conduct experiments to test the effectiveness of the devices using the 3D printed models in the wind tunnel.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

  • Minimum GPA of 3.5 required.
  • Must have taken MECE 2860U: Fluid Mechanics or in the process of taking it.
  • Prior experience working with another professor is an advantage.

Expected training/skills to be received by the student: 

The student will be:

  • Exposed to fundamental research in vehicle aerodynamics.
  • Trained in wind tunnel testing techniques.
  • Trained in computational fluid dynamics and modeling techniques.
  • Trained in technical writing.

Award available:  Ontario Tech STAR Award or NSERC USRA


Supervisor name:  Mohamed Z. Youssef, PhD
Project title:  Power Supply Design for the Internet of Things (IoT) Applications

Summary of research project:  The project will target a number of applications including smart homes, smart cities, energy, advanced manufacturing, insurance and banking, supply chain management, healthcare, public health, connected robots, and intelligent transportation systems. Power electronic converters' design is a must for these applications.

Student responsibilities/tasks:  Simulation of systems and literature review.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

  • Upper year student.
  • GPA of 3.7 or higher.
  • Electronics knowledge is an asset.

Expected training/skills to be received by the student: 

  • Research Procedures
  • Simulation Skills
  • Mathematical Modeling of Electronic Systems
  • Technical Writing
  • Innovative Thinking

Award available:  Ontario Tech Star Award or NSERC USRA


Supervisor name:  Atef Mohany, PhD
Project title:  Fluid-Structure Interaction in Piping System

Summary of research project:  Fluid-Structure Interaction in piping system components such as cavities and side-branches is a design concern in many engineering applications. These applications include natural gas piping systems, steam piping systems, control valves, and aircraft landing gear. In this project experiments will be conducted using an aeroacoustic wind-tunnel with a maximum flow velocity of 150 m/s as well as a state of the art water tunnel. Unsteady flow measurements, structural vibration measurements, and flow visualizations will be conducted. The successful candidate will work closely with a large research team. Training on the different aspects of this project will be provided.

Student responsibilities/tasks: 

  1. Assist in designing different piping system components.
  2. Assist in the measurements.
  3. Write a report that summarizes the work performed.

 Student qualifications required (e.g. courses completed, minimum grades, etc.): 

  • Third year students with adequate background in Fluid Mechanics and Mechanical Vibration will be preferred.
  • Adequate knowledge of CAD will be preferred.

Expected training/skills to be received by the student: 

  • Training in the area of fluid-structure interaction with practical engineering problems.
  • Training on different experimental measurements, including flow visualizations.

Award available:  Ontario Tech Star Award or NSERC USRA


Supervisor name:  Ramiro Liscano, PhD
Project title:  Self-adapted application-driven Wireless Sensor Networks (WSNs)

Summary of research project:  The goal of this research is to develop algorithms, protocols, and design guidelines that support optimized configuration and autonomic changes in heterogeneous WSNs that take into account the requirements of application services in Industrial Internet of Things (IIoT) scenarios. These optimization algorithms need to operate at the configuration stage of the sensor network and to continually monitor and optimize the performance of the WSN during operation. As such, they need to operate within a constrained period of time.

Student responsibilities/tasks:  The student will be working with a PhD graduate student in performing sensor network experiments using a custom built Python-based network simulator called PyNet. It is envisioned that the duties the student will perform will consist of:

  • extending the simulator to support 802.15.4 cluster tree;
  • integrating different optimization parameters into the PyNet simulator; and
  • analyzing network performance data outputted by the simulator.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

  • Applicants with a strong software background with experience and/or courses in the Python language and networking are preferred.
  • Students studying in the software engineering, computer science, and IT networking and information technology security programs are preferred.
  • Strong communication and documentation skills are required.

Expected training/skills to be received by the student: 

  • Learn about network simulation and optimization.
  • Learn about data analysis.
  • Learn how to contribute to a research paper.
  • Learn how to properly document and report their investigations.

Award available:  Ontario Tech STAR Award or NSERC USRA


Supervisor name:  Ruth Milman, PhD
Project title:  Evaluation of controller performance on quadcopter flight

Summary of research project:  Drones have become very popular research tools as they are capable of stable flight and hovering and can easily be equipped with cameras and/or sensors which are capable of sending remote data to other systems. In our research lab we are working on using drones for various situational identification purposes. This can be accomplished using image processing with machine learning that is based on images that are collected from quad-copters. Ongoing applications include identification of traffic and parking information and identification of powerline issues using drones. This summer's research will focus on performance of the quadcopter path planning and flight algorithms.

Student responsibilities/tasks: The student can work within various areas of the project depending on their skills and interests. Areas of interest are application of flight algorithms, controller programming, image processing, flight analysis, etc.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

Students must have completed second year and have a working knowledge of Matlab.

Expected training/skills to be received by the student: 

  • Students will practice programming motor controllers and raspberry pie programming.
  • Students will learn various aspects of using a quadcopter as hardware in the loop for testing purposes.
  • Depending on the student focus, machine learning for image processing will likely be an area of training.

Award available:  Ontario Tech STAR Award or NSERC USRA


Supervisor name:  Sayyed Ali Hosseini, PhD
Project title:  Finite Element Analysis of Machining Additive Manufactured Metals

Summary of research project:  Additive manufacturing (AM) creates geometries by depositing material layer-by-layer wherever desired. A major roadblock toward the wide application of AM metallic parts is the lack of dimensional accuracy and poor surface quality, which necessitates post-process finish machining. This project aims to perform an extensive literature review and Finite Element Analysis (FEA) using ANSYS or similar FEA Software to study the machining process of AM parts. The participant will acquire extensive literature review skills along with hands-on experience in using FEA software.

Student responsibilities/tasks:  The main task for the student is to gather information pertinent to the machinability of Additive Manufactured metallic parts. Upon the completion of sourcing information and literature review, the student will be involved in developing a material model along with a Finite Element Model to study different aspects of machining when the workpiece is an additive manufactured metal. The student is also responsible for writing reports and manuals.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

  • Be dedicated and hardworking.
  • Have passed MANE 3190U Manufacturing and Production Processes (min A-).
  • Be familiar with Finite Element (e.g. ANSYS), CAD (e.g. SolidWorks) and preferably programing (e.g. Python).
  • Have interpersonal, team work, communication, and academic report writing skills.
  • Is preferably familiar with machining.

 Expected training/skills to be received by the student: 

  • Research and literature review skills.
  • Writing academic papers and reports.
  • Converting what has been learned in class to real life applicable knowledge.
  • Using engineering software toward a certain goal.
  • Management and communication skills.

Award available:  Ontario Tech STAR Award or NSERC USRA


Supervisor name:  Scott Nokleby, PhD
Project title:  Coordinated Control of Unmanned Ground Vehicles and Unmanned Aerial Vehicles Systems

Summary of research project:  This project involves the coordinated control of systems comprised of a mixture of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs). In particular, the successful candidate will focus on the development of an Autonomous UAV to be used to provide motion planning information to a series of UGVs. The candidate will work as part of a team.

Student responsibilities/tasks:  Research tasks related to the design and development of advanced robotic systems which may include tasks related to the design, analysis, assessment, modelling studies, and development of novel or innovative products, processes and/or systems.

Duties include:

  • Designing and developing prototypes.
  • Designing and conducting experiments.
  • Analyzing experimental results.
  • Writing reports and peer-reviewed publications.

Student qualifications required (e.g. courses completed, minimum grades, etc.): 

  • The successful candidate must have strong engineering, design, mathematics, programming, and written/oral English communication skills.
  • Robotics experience, particularly with ROS, is an asset.
  • Minimum GPA of B+ and completion of second year of their engineering program is preferred.

Expected training/skills to be received by the student: 

  • Robotics
  • Robot Operating System (ROS)

Award available:  Ontario Tech STAR Award or NSERC USRA