Biography

Sijin Wu is currently enrolled in the split-site PhD program at University of Leeds, Leeds, UK and Southern University of Science and Technology, Shenzhen, China. The dominant study scope includes the human mobility, data science and multi-agent modelling.

Interests
  • Multi-agent simulation
  • Machine learning
  • Human mobility
  • Policy analysis
Education
  • PhD in Transport studies, 2020

    University of Leeds

  • Visiting student, 2019

    University of California, Berkeley

  • BSc in Math and Applied Mathematics, 2016

    Southern University of Science and Technology

Experience

 
 
 
 
 
Data analyst (Intern)
Jun 2019 – Aug 2019 Shenzhen, China

Responsibilities include:

  • Data analysis
  • Database administration.
 
 
 
 
 
Demonstrator for graduated-level courses
Jan 2020 – Nov 2020 Leeds, UK
  • Principle transport modelling
  • Traffic network modelling.

Projects

The Srategy investigation in Shenzhen for Covid-19 variant:Omicron BA.2

Publication

(2022). Modelling the Mobility Changes Caused by Perceived Risk and Policy Efficiency. ISPRS International Journal of Geo-Information. 11(8), p.453..

DOI

(2022). Brake wear induced PM10 emissions during the world harmonised light-duty vehicle test procedure-brake cycle. Journal of Cleaner Production,Volume 361, 2022, 132278, ISSN 0959-6526,.

DOI

(2022). Variations in surface functional groups, carbon chemical state and graphitization degree during thermal deactivation of diesel soot particles. ournal of Environmental Sciences, Volume 124, 2023, Pages 678-687, ISSN 1001-0742,.

DOI

(2022). Initial COVID-19 Vaccine Distribution Policy Optimisation. Association for Computing Machinery, Sanya, China,EBEE 2021,.

DOI

(2022). Impact of change in traffic flow on vehicle non-exhaust PM2.5 and PM10 emissions: A case study of the M25 motorway, UK. Chemosphere, Volume 303, Part 1, 2022, 135069, ISSN 0045-6535,.

DOI

(2022). Impact of vehicle type, tyre feature and driving behaviour on tyre wear under real-world driving conditions. Science of The Total Environment,Volume 842, 2022, 156950, ISSN 0048-9697,.

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