Ghazaleh Mohseni

Ghazaleh Mohseni

Ph.D. Candidate in Transportation Engineering | Research Assistant @ York University | Product Developer

CV

Education

  • Ph.D. in Transportation Engineering, York University, 2025 (expected)
  • M.Sc. in Transportation Engineering, Sharif University of Technology, 2017
  • B.Sc. in Civil Engineering, Isfahan University of Technology, 2014

Work Experience (Canada)

  • Graduate Research Assistant, Lassonde School of Engineering – York University (Sep 2021 – Present)
    • Researcher and product developer with the Interactive-OR Lab, contributing to projects in micromobility, emergency response, transit electrification, and urban safety planning.
    • Led development of data-driven tools and optimization models.
  • Graduate Teaching Assistant, Lassonde School of Engineering – York University (Sep 2021 – Present)
    • Courses supported: Civil Engineering Project Management (FA21/FA24), Traffic Simulation Modelling (WI22), Civil Engineering for Sustainable Future (WI22), Transportation Engineering (FA22), Civil Engineering Design Project (WI23/WI25).
    • Delivered tutorials, mentored students, and supported simulation and design-based coursework in AutoCAD, Civil 3D, and PTV Vissim.
  • Mitacs Business Strategy Intern, Lassonde School of Engineering – York University (Jan 2025 – July 2025)
    • Project: Optimizing Charging Infrastructure for Electric Bus Fleets in partnership with Mobility Future Lab (MFL).
    • Designed cost-efficient charging schedules by aligning depot electricity use with off-peak periods and bus operations.
    • Developed an interactive decision-support tool for what-if scenario analysis using WebAssembly and Node.js.
  • Mitacs Accelerate Fellow Intern, Lassonde School of Engineering – York University (May 2023 – Dec 2023)
    • Project: Transportation Data Assessment and Planning in collaboration with the City of Vaughan.
    • Mapped MoveSmart policy goals to data gaps and infrastructure requirements across mobility domains.
    • Collaborated on an interactive tool for Automated Speed Enforcement (ASE) camera deployment optimization.

Skills

  • Programming & Data: Python, JavaScript, R, SQL, C++, MATLAB, REST APIs, Git/GitHub
  • Machine Learning: TensorFlow, PyTorch, Graph Neural Networks, demand forecasting
  • Optimization & Operations Research: Mathematical Optimization (LP/MIP), Deep Learning, Operations Research, Large-scale model design
  • Product Development & Cloud Deployment: Web-based decision support tools, React, HTML/CSS, AWS (Lambda, S3), Firebase, Google Cloud Platform, WebAssembly solvers
  • GIS & Spatial Analysis: Mapbox, ArcGIS, TransCAD, PTV Vissim/Vissum, AutoCAD, Civil 3D, Arena
  • Soft Skills: Project Management, Problem Solving, Cross-Functional Collaboration, Technical Communication

Honors and Awards

  • 2025: Women in Transportation (WTS) Canadian Education Foundation – Accessible Communities Scholarship.
  • 2025: Semi-Finalist, Innovative Applications in Analytics Award (IAAA), INFORMS – Recognized for developing an advanced analytics-driven solution integrating deep learning and optimization modeling.
  • 2024: Finalist in TRB Transit Data Challenge: Innovative Analytical Tools to Improve Public Transit.
  • 2023: ITE Innovation Award of the Year – Issued at ITE Toronto AGM and ITE Christmas Luncheon.

Volunteering

  • 2022–2023: Graduate Representative – Adjudication Committee, Civil Engineering Department, York University
    • Evaluated tenure and promotion documentation for four Assistant Professors in Civil Engineering.
  • 2022: Mentor – UNHack 2022, Bergeron Entrepreneurs in Science and Technology (BEST Lab), Lassonde School of Engineering, York University
    • Mentored 4 student groups during UNHack 2022 innovation challenge.