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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.

Learn more about Indigenous Education and Cultural Services

FEAS project summaries

Supervisors

Khalid Abdel HafeezMartin Agelin-ChaabAmirkianoosh KianiHaoxiang LangGhaus RizviBrendan MacDonaldRamiro LiscanoSanaa AlwidianScott NoklebyAkramul AzimMohamed YoussefAhmad BarariKamiel GabrielSayyed Ali Hosseini

 

Supervisor name: Khalil Abdel Hafeez
Project title: Effect of COVID Pandemic on Engineering Education

Summary of research project: This Project is to study the effect of the pandemic on engineering students and the education process. It will survey students and faculty members across different Ontario universities to get results about the skills and level of knowledge that students gained during the pandemic and the teaching strategies that have been used and compare them with the levels and strategies before the COVID era. It will study how students managed their education using the online platforms and what changes they would like to see in the education process after the pandemic. The main objective is to learn from the online experience at both levels students and faculty and suggest future recommendations.

Student responsibilities/tasks:

  • Students should design different survey forms that suits different engineering students and faculty members.
  • Students should contact and collect information from different Ontario universities.
  • Students should build an AI algorithm and program to extract information deduce new patterns from the data.

Student qualifications required:

  • Students should be enrolled in one of the engineering disciplines
  • Students preferred to be at third level with GPA not less than B-
  • Students should have programming skills
  • Students should have good communication skills

Expected training/skills to be received by the Student:

  • Students will learn how to conduct a meaningful survey and how to extract information from audience
  • Students will learn some of the programming Artificial Intelligence techniques

Length of award: 12 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Martin Agelin-Chaab
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:

  • Develop active aerodynamic devices to minimize rear surface contamination by dirt-ladden airstream
  • Assist in setting up the experiments and calibrating a model wind tunnel for testing
  • Conduct a number of experiments to test the effectiveness of the devices using the 3D printed models in the wind tunnel
  • Analyze the experimental data, interpret the results and write a technical report

Student qualifications required:

  • Minimum GPA of 3.4 required
  • Must have taken MECE 2860U: Fluid Mechanics
  • Prior experience working with another Professor is an advantage

Expected training/skills to be received by the Student:

  • Model development and simulation skills
  • Wind tunnel testing and analysis skills
  • Technical writing and presentation skills

Length of award: 16 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Amirkianoosh Kiani
Project title: Advanced Nanomaterials for Supercap and Battery Fabrication

Summary of research project: In this project, we will use high power laser pulses for fabrication of advanced 3D Nanonetwork materials which will be evaluated for using in supercapacitor and battery electrode fabrication. Wide range of characterization (electron microscopy and X-Ray spectroscopy) and electrochemical techniques will be used in this project.

Student responsibilities/tasks:

  • The Student will be responsible for conducting the experimental setup, including selecting the appropriate laser parameters and electrochemical experiments.
  • Finally, the Student will collaborate with a senior grad student for post-processing the data and
    documenting the results.

Student qualifications required:

  • Knowledge in materials Science and chemistry
  • Knowledge in Data collection and basic Data analysis (e.g. MS Excel)

Expected training/skills to be received by the Student:

  • Achieving knowledge and skills in advanced manufacturing and nanomaterials
  • Learning about issues, methods, and leaders in the field of renewable energy and energy storage materials
  • Enhancing your professional communication skills
  • Learning new techniques and skills for your career
  • Applying concepts from your courses to real life situations

Length of award: 16 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Haoxiang Lang
Project title: Design and Analysis of a Low-Cost RFID Localization System

Summary of research project: The purpose of the Project to design and analysis of an indoor localization system based on RFID technology. Ultra-wideband (UWB) frequency is based on transmitting ultrashort pulses under one nanosecond which are then sent over multiple frequency bands. The design and analysis work in the Project is based around this technology to estimate their positions by using radio frequency signals. The Project requires fundamental engineering knowledge in mechanical design, electronic and signal processing background. 

Student responsibilities/tasks:

  • Test and analysis of signals.
  • Design and development algorithm of position estimation.
  • Software GUI design and development.

Student qualifications required:

  • Minimum Grade: 3.7

Expected training/skills to be received by the Student:

  • Engineering design
  • Measurement of Signals
  • Analysis of signals using engineering tools
  • Software development

Length of award: 16 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 
Supervisor name: Ghaus Rizvi
Project title: Fabrication of Tissue Scaffold using Electrospinning

Summary of research project: Electrospinning is extensively used for fabricating micro and nano fibers. This research project involves: producing biocompatible and biodegradable material formulations that can be used in an electrospinning system to produce thin layered scaffolds that are reinforced with dissolvable threads so that the scaffold can be easily handled and used. Electrospinning is used to produce very thin fibers under the action of a large electric potentials. The fibers are collected on a cathode, usually a rotating drum, to obtain thin sheets of the fibrous mats. The fabricated mats will be characterized to determine their morphology so that their suitability for being used as scaffold can be assessed.

Student responsibilities/tasks:

  • The Researcher’s responsibilities include preparing material formulations and using these for producing and collecting electro spun fibers on a rotating drum.
  • A thin sheet is obtained from the drum, once the process is complete.
  • Specimen from this film will be used for characterization studies.
  • The characterization will involve use of image analysis and mechanical testing on a Dynamic mechanical analyzer (DMA), among other equipment.

Student qualifications required: Should have completed two years of engineering with good grades.

Expected training/skills to be received by the Student:

  • Operation of electrospinning and related equipment
  • Characterization with digital microscope
  • Characterization with Dynamic Mechanical Analyzer
  • Use of other lab equipment

Length of award: 12 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Brendan MacDonald
Project title: Development and Testing of External Heat Engines for Sustainable Energy

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. The prototyping includes design work, analysis, and experimental testing.

Student responsibilities/tasks:

  • There are many tasks required for our current external heat engine prototyping, mainly related to examining specific aspects of the engine design and improving the design.
  • This can include things like numerical modelling, building experimental test rigs to analyze design changes, or testing with our current prototypes.
  • Specific tasks will be determined with the student to ensure interest and compatibility.

Student qualifications required:

  • Most importantly students should be curious, have a passion for discovery, and be honest.
  • It is beneficial for students to have thermodynamics, fluid mechanics, and/or heat transfer knowledge.
  • Hands-on experience is also beneficial for the engine building and testing aspects.

Expected training/skills to be received by the Student:

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

Length of award: 16 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Ramiro Liscano
Project title: A Developer Recommendation Tool for Lock Contention Faults

Summary of research project: The goal of this research is to develop algorithms that help in the detection of lock contention faults with the goal of making recommendations to developers of better code alternatives to mitigate the performance degradation caused by lock contentions.

Student responsibilities/tasks:

  • The Student will be working with a team of graduate students to create a tool to help developers locate and identify lock contention faults and recommend alternative code patterns to mitigate the impact of the lock contention.
  • It is envisioned that the duties the Student will perform will consist of: design of a tool to support developers detecting and locating lock contention faults based on graduate students’ work.

Student qualifications required:

  • Applicants with a strong software background with experience and/or courses in software design.
  • Applicants with strong knowledge of Java and Python are preferred.
  • Applicants studying in the software engineering and computer science are preferred.
  • Strong communication and documentation skills are required.

Expected training/skills to be received by the Student:

  • Learn about integrating recommendation algorithms into the software design and development cycle.
  • Learn about data analysis.
  • Learn how to contribute to a research paper.
  • Learn how to properly document and report their investigations.

Length of award: 16 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Sanaa Alwidian
Project title: Variability Modeling and Analyses of Software Models

Summary of research project: In Software Engineering, Models are abstract representations of a system. Software models evolve continuously resulting in a family of related models, called model family (MF). In cyber-physical systems and smart systems, there is a need to analyze elements of MF to compute some trends. Yet, analyses of each model in a MF, individually, can become inefficient, time consuming, and involves lots of redundant computations. To address these challenges, Union Models (UM) were proposed to support the representation and analyses of MF using one generic model. This project aims to contribute efficient algorithms to automate the creation of UM, and to facilitate the analysis of MFs using Ums.

Student responsibilities/tasks:

  • Implement an efficient union algorithm to automate the construction of UM to represent MFs of any given size.
  • Conduct some types of analysis (such as property checking and commonality analysis) using UM on different MFs
  • Suggest other efficient analysis techniques and algorithms, that facilitate the use of UM to analyze MFs of different sizes.

Student qualifications required:

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

Expected training/skills to be received by the Student:

  • Design and development of efficient algorithms
  • Learn about modelling
  • Learn about model analysis
  • Learn how to contribute to a research paper
  • Learn how to properly document and report research investigations

Length of award: 16 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Scott Nokleby
Project title: Mixed Unmanned Ground Vehicle (UGV) and Unmanned Aerial Vehicle (UAV) 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) where the UAVs provide sensor data to the UGVs to assist in their autonomous navigation. In particular, the successful Student will focus on the development of an Autonomous UAV to be used to provide motion planning information to a series of UGVs.  The Student will work as part of a team.

Student responsibilities/tasks: Work on research tasks related to the design and development of advanced robotic systems.  Duties include, but are not limited to:

  • Designing, developing, programming, and building prototypes
  • Designing and conducting experiments
  • Analyzing experimental results
  • Writing reports and peer-reviewed publications
  • In addition, the candidate is expected to collaborate with other personnel working in the Mechatronic and Robotic Systems Laboratory.

Student qualifications required:

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

Expected training/skills to be received by the Student:

  • Learning Robot Operating System (ROS).
  • Designing, programming, building, and testing/debugging robotic systems.

Length of award: 16 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Akramul Azim
Project title: Design and Development of a Digital Twin of an Autonomous Car Instrument Cluster

Summary of research project: The automotive components are continuously evolving with more and more software. One of the major components of the car is the instrument cluster that has all the safety-critical functionalities. Buying an off-the-shelf instrument cluster is expensive and also gives us inflexibility in adding the functionalities of interest. To accelerate the development of autonomous functionalities of cars, there is a need to build a digital twin system of an instrument cluster.

  • Students will be designing and developing a digital twin of a car instrument cluster
  • Connect with a simulated/emulated driving system
  • An augmented reality environment for driving in different road conditions

Student responsibilities/tasks:

  • A digital twin instrument cluster system that is connected to a driving simulator such as CARLA
  • Demonstrate the usefulness of a digital twin instrument cluster system by implementing new autonomous safety features of a car

Student qualifications required:

  • Python programming
  • Hardware interfacing

Expected training/skills to be received by the Student:

  • Programming
  • Embedded software

Length of award: 12 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Mohamed Youssef
Project title: Electric Vehicles: Fault Monitoring

Summary of research project: This project presents a new sensorless diagnosis technique for the electric vehicle propulsion’s faulty conditions. An on-board health monitoring system (HMS), is proposed, based on the artificial intelligence clustering technique. The full diagnostic system oversees the whole vehicle. It is based on blende clustering with artificial intelligence method, which compares the actual VSI output voltage with the reference gate-driving signal. Different inherent failure scenarios are presented in the inverter and with other subsystems are demonstrated.

Student responsibilities/tasks:

  • Simulation/Literature Review

Student qualifications required:

  • Upper third year electrical/software student with high GPA. Coding skills are a bonus.

Expected training/skills to be received by the Student:

  • Electric vehicle know-how
  • Simulation skills
  • Writing technical documents

Length of award: 16 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Ahmad Barari
Project title: 3D Inspection and Printing of Industrial Parts

Summary of research project: Optical scanners are used in manufacturing to detect the geometric errors in the products. Laser scanners are very common tools for digital metrology. The produced date from 3D scanning should be converted to proper CAD models and process them adequately for fabrication. This project considers 3D printing as the fabrication process. The entire project can be also described as a reverse engineering cycle in a fully digital environment.

Student responsibilities/tasks:

  • Work with a team in literature review
  • Analysis
  • CAD design
  • Programming
  • Tests and experiments
  •  

Student qualifications required:

  • A student in any of the FEAS programs (or FBIT) with strong computer background can work in this multi-disciplinary project.
  • CAD/CAM/CAE
  • Programming
  • MatLab
  • Paython
  • C++
  • Web applications

Expected training/skills to be received by the Student:

  • Digital Design
  • Digital Metrology
  • Digital Manufacturing

Length of award:  16 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Kamiel Gabriel
Project title: Deep Decarbonization of Heavy GHG Emitters

Summary of research project: In this project, the Student will work on a case study for the potential of integrating hydrogen and cement industries to achieve higher efficiency and reduce emissions.  The proposed method uses the innovative Cu-Cl thermochemical technology for clean hydrogen production to recover waste heat from a cement plant. Alternative routes for greening Canada’s largest producers of cement clinker in Ontario and elsewhere in Canada.

Student responsibilities/tasks:

  • The Student will perform energy and mass balances using a number of scenarios to reduce GHG emissions from a typical cement plant using available software used in industry.
  • The Student will further perform technoeconomic analysis for the best scenarios and propose alternate energy input methods.

Student qualifications required:

  • Students in mechanical, manufacturing or mechatronics disciplines
  • Have finished 3rd year or currently in 4th year
  • Have taken thermodynamics and heat transfer courses with
  • Overall GPA no less than 3.5
  • Must be willing to assist with different tasks at the lab and work with graduate students and senior researchers

Expected training/skills to be received by the Student:

  • Student will be trained in the important field of clean energy and climate change mitigation.
  • They will be given the opportunity to work on real world projects with industrial partners.
  • Student will be trained in using industry standards software programs to conduct energy and mass balance as well as emissions' calculation from various energy sources.

Length of award: 12 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA

 

Supervisor name: Sayyed Ali Hosseini
Project title: Functional Design and Finite Element Analysis of Additive Manufactured Metallic Structures for Energy Absorbing Applications

Summary of research project: Additive manufacturing creates geometries by depositing material layer-by-layer wherever desired. One of the major roadblocks toward the wide application of additive manufactured metallic parts is the lack of dimensional accuracy and poor surface quality, which necessitates post-process finish machining. This project aims to design functional energy absorbing structures using metal additive manufacturing technology. Different concepts will be designed and analyzed using Finite Element Analysis FEA and the results will be compared for functionality evaluation.

Student responsibilities/tasks:

  • Student will perform an initial literature review and then will be involved in design of Additive Manufactured (AM) metallic structures.
  • Finite Element Analysis (FEA) and experimental testing will be performed to evaluate the functional performance such structures.
  • The Student is also responsible for writing reports and manuals.
  • The required training will be provided to ensure safety.

Student qualifications required:

  • Must have taken and passed either Manufacturing and Production Processes or Additive Manufacturing with minimum A-
  • Interpersonal, team work, communication, CAD Software, FEA software and academic report writing skills
  • Preferably familiar with machine tools and manufacturing processes such as machining and additive manufacturing

Expected training/skills to be received by the Student:

  • Additive Manufacturing
  • Finite Element Analysis (FEA)
  • Testing and simulation
  • Writing academic and technical reports
  • Operating lab equipment

Length of award: 12 weeks

Available Award: Ontario Tech STAR Award or NSERC USRA