Zhewei Liu

Zhewei Liu

Senior Machine Learning Engineer

Siemens

Biography

Zhewei LIU (刘哲维) is currently a Senior Machine Learning Engineer at Siemens, focusing on LLMs, Generative AI, and machine learning systems for real-world applications. He was previously a Schmit AI Research Fellow at the Vector Institute and University of Toronto. He received his PhD in Geographic Information Science from The Hong Kong Polytechnic University. His research interests include large language models, AI engineering, intelligent systems, urban computing, and the broader application of artificial intelligence in industry and society. Beyond technology, he values humility, compassion, and intellectual honesty, and believes that meaningful achievements come from the combination of knowledge, discipline, and long-term persistence.

Interests

  • Urban resiliece
  • GeoAI
  • Environmental justice
  • Spatial big data analytics
  • Human mobility

Education

  • Ph.D in Geographical Information Science, 2021

    The Hong Kong Polytechnic University

  • B.S. in Remote Sensing (RS) and Geographical Information Science (GIS), 2015

    Wuhan University

Experience

 
 
 
 
 

Senior Machine Learning Engineer

Siemens

May 2026 – Present Toronto, Ontario, Canada
 
 
 
 
 

Schmit AI Research Fellow

University of Toronto

Sep 2024 – May 2026 Toronto, Ontario, Canada
 
 
 
 
 

Postdoctoral Researcher

Texas A&M University

Dec 2022 – Nov 2023 College Station, Texas, U.S

Responsibilities include:

  • Research on enviromental justice and urban resilience with human mobility dataset
  • Developing novel models for urban analytics
  • Revealing fundamental rules for patterns of urban resilience
 
 
 
 
 

Research Assistant

The Hong Kong Polytechnic University

Nov 2021 – Oct 2022 Hong Kong SAR

Responsibilities include:

  • Research on GeoAI, spatial big data and human mobility
  • Developing novel models for urban analytics

Other Publications

(2022). A deep-learning approach for modelling pedestrian movement uncertainty in large-scale indoor areas. International Journal of Applied Earth Observations and Geoinformation.

Awards

Principal Investigator

Selected as Principal Investigator for the National Science Foundation Small Business Innovation Research (NSF SBIR) program with a grant of $275,000.00.

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