Curriculum Vitae

Ciência ID - 271A-06A9-78A0

ORCID ID - 0000-0002-5477-3661

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.