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Scientific Instrumentation Centre Scientific Instrumentation Centre

Sofia Pais Cerqueira

Sofia Pais Cerqueira
Phone: 218 443 813

Professional Situation

Research Fellow at FCT with LNEC Enhancement

Academic and Scientific Degrees

  • Ph.D. (ongoing) in Computer Science and Engineering at Instituto Superior Técnico.
  • Master's Degree (2021) in Computer Science and Engineering at Instituto Superior Técnico, with dissertation theme: "Integrative traffic flow analysis of public transport data in the city of Lisbon". Bachelor's Degree (2018) in Computer Science and Engineering at Instituto Superior Técnico.

Functions and Relevant Public Offices

  • Research fellowship in the project "Integrative learning from urban data" - Fundação para a Ciência e a Tecnologia, Portugal (2020-2022)
  • Ph.D. Research Fellowship Fundação para a Ciência e a Tecnologia with LNEC Enhancement (2023 – ongoing)

Areas of Research / Interest

  • Spatio-temporal Data Mining
  • Machine Learning
  • Data Visualization
  • Data integration

Research and Professional Activity

  • "Integrative learning from urban data" ILU project, contribution to tasks 3 (Data preparation and integration) and 4 (Exploratory multi-source urban data analysis) (site: http://web.ist.utl.pt/rmch/ilu/tasks/)
  • Advanced multimodal marketplace for low-emission and energy transportation (ADMIRAL) - EU project, contribution to workpackage 2 and 5 (site: https://www.admiral-project.eu/)
  • Teaching in Higher Education
  • Teaching Assistant at Universidade de Lisboa - Instituto Superior Técnico, Portugal in the curricular units Database and Information Processing and Retrieval (2021/10/01 - 2022/07/31)

Relevant Publications

Conference Papers
  • Cerqueira, S., Arsenio, E., & Henriques, R. (2023). Is there any best practice principles to estimate bus alighting passengers from incomplete smart card transactions?. Transportation Research Procedia, 72, 3395-3402.
  • Cerqueira, S., Arsénio, E., & Henriques, R. (2022). Inference of differential Origin-Destination Matrices to access the spatio-temporal attractiveness of Publictransport in relation to car travel: A case study in the city of Lisbon. European Transport Conference.
  • Cerqueira, S., Arsenio, E., & Henriques, R. (2024). Freight Demand Modeling for Green and Digital Logistics. Transport Research Arena.
Journal Articles
  • Cerqueira, S., Arsenio, E., & Henriques, R. (2021). On how to incorporate public sources of situational context in descriptive and predictive models of traffic data. European transport research review, 13, 1-22.
  • Cerqueira, S., Arsenio, E., & Henriques, R. (2022). Inference of dynamic origin–destination matrices with trip and transfer status from individual smart card data. European Transport Research Review, 14(1), 42.
  • Cerqueira, S., Arsenio, E., Barateiro, J., & Henriques, R. (2024). Moving from classical towards machine learning stances for bus passengers’ alighting estimation: A comparison of state-of-the-art approaches in the city of Lisbon. Transportation Engineering, 16, 100239.

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