Using social media data, such as Twitter and Instagram, I identify relevant information, develop data models, estimate and analyse crowds’ characteristics in city events, including demographic and city-role composition, Spatial-temporal distribution, sentiment estimation, Points of Interest preferences, word use, crowd size and density estimation, which help crowd managers make better decisions.

In this website, you can find my CV below, and the summary of my research in the Portfolio section.

Education & Research Work

  • Postdoctoral researcher in Human-Centered Artificial Intelligence Section in the Faculty of Industrial Design Engineering (IDE), Delft University of Technology, 2020 - 2021.
    • Project: PERISCOPE, funded by EU, Pan-European Response to the ImpactS of COVID-19 and future Pandemics and Epidemics.
  • Ph.D. in Transport & Planning, Delft University of Technology, 2016 - 2020 (expected).
    • Topic: using social media data to investigate crowds characteristics in city events.
    • Supervisor: Winnie Daamen, Alessandro Bozzon, Serge P. Hoogendoorn.
    • Graduated: Sep 2020
  • M.S. in Computer Science, Delft University of Technology, 2013 - 2016

Journal Publications

Conference presentations

Honours and awards

  • Norvig Web Data Science Award 2014. A challenge to discover similar images in a given WARC dataset considering various factors, such as temporal factors and context information. The dataset was crawled from internet and contains various web file formats. We performed the comparison using MapReduce framework.

Teaching


:palm_tree: Updated: Mar 20, 2021