About Me

I am a PhD candidate in environmental engineering at the Department of Building, Civil, and Environmental Engineering at Concordia University. My research focuses on the decarbonization of transportation through electrification, the low-carbon transition of urban energy systems, and the assessment and optimization of greenhouse gas reduction strategies. I also have expertise in data mining and predictive analytics, utilizing life cycle thinking, statistical models and machine learning/deep learning techniques to advance sustainable and resilient transportation systems.

Interests
  • Transportation sustainability and resilience
  • Urban energy systems
  • Greenhouse gas emissions mitigation assessment
  • Energy management of heavy-duty electric vehicles
Education
  • PhD Civil Engineering

    Concordia Univeristy

  • MASc Civil Engineering

    Concordia University

  • BEng Urban Planning

    University of Liverpool/Xi'an Jiaotong-Liverpool University

My Research

My research focuses on system-scale environmental sustainability analysis by combining technical solutions (e.g., machine learning, LCA) with strategic planning (e.g., climate policy, economic modeling) to deliver quantitative insights that guide sustainable decision-making, including:

  • Life cycle assessment (LCA) and life cycle thinking
  • Greenhouse gas mitigation strategies
  • Environmental impacts of transportation electrification, with a focus on heavy vehicles
  • Energy and economic modeling for urban and transportation systems
  • Machine learning and deep learning applications in climate-adapted public transportation management
  • AI applications in electric vehicle battery management
  • Climate policy, decision support models, and managing uncertainties in environmental policy
Featured Publications
Recent Publications
(2024). Quantifying weather-induced unreliable public transportation service in cold regions under future climate model scenarios. Sustainable Cities and Society.
(2024). Insights into the urban municipal solid waste generation during the COVID-19 pandemic from machine learning analysis. Sustainable Cities and Society.
(2024). Revealing the Freezing-Induced Alteration in Microplastic Behavior and Its Implication for the Microplastics Released from Seasonal Ice. Environmental Science & Technology.
(2024). Seasonal ice encapsulation: the pivotal influence on microplastic transport and fate in cold regions. Environmental Science: Water Research & Technology.
Awards
AquaHacking Great Lakes Challenges 2023-2024 Finalist – Team Maxinano
AquaAction ∙ March 2024
We developed a electrochemical method to sperate the microplatics from the water.
Fonds de recherche du Québec – Nature et Technologies (FRQNT) / Bourses de doctorat en recherche (B2X)
Fonds de recherche du Québec ∙ April 2024
The research titled “Promouvoir les transitions urbaines vers le zéro net grâce à l’électrification des transports décarbonés face au changement climatique” received the Fonds de recherche du Québec – Nature et technologies (FRQNT) Doctoral Training Scholarship.
Bourses d’excellence pour étudiants étrangers (PBEEE) / Bourses de doctorat en recherche (V1)
Fonds de recherche du Québec ∙ April 2024
The research titled “Promouvoir les transitions urbaines vers le zéro net grâce à l’électrification des transports décarbonés face au changement climatique” received the Merit Scholarship for Foreign Students (PBEEE).
Certificate of Appreciation, People 2023 International Conference
People Network ∙ August 2023
In recognition of my contribution as a Conference Secretariat at the PEOPLE 2023 International Conference on Collaborative Solutions to Environmental Problems under Climate Change.
People 2023 International Conference Best Presentation Award (3rd place)
People Network ∙ August 2023
Awarded for the presentation titled “Achieving Net-Zero Targets through Regional Electric Bus Penetration and Energy Transition”.
Special Recognition Award, International Oil Spill Science Conference (IOSSC) 2022
IOSSC ∙ October 2022
Awarded for outstanding work in the Conference Organizing Committee
Essential Science Indicators (ESI) Highly Cited Paper
∙ November 2021
The paper titled “Assessing the impact of COVID-19 pandemic on urban transportation and air quality in Canada” is recognized as an ESI Highly Cited Paper, ranking in the top 1% of cited papers in its field and publication year according to Essential Science Indicators (ESI).
Concordia experts on COP26
∙ October 2021
A number of experts from Concordia University are available to comment on the COP26 summit.