Team

Faculty

Francisco Pereira
Professor
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Carlos Lima Azevedo
Associate Professor
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Filipe Rodrigues
Associate Professor
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Postdocs

Mayara Monteiro
Francisco Antunes
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Georges Sfeir

PhD Students

Valentino Servizi
Sergio Garrido
Daniele Gammelli
Ioanna Arkoudi
Renming Liu
Christoffer Riis
Mathias Tygesen
Frederik Hüttel
Victor Flensburg
Antoine Dubois
Atefeh Hemmati Golsefidi
Lampros Yfantis (UCL)
Co-supervision with Prof. Maria Kamargianni
Ana Martins (IST)
Co-supervision with Prof. Filipe Moura
David Rodas (TUM)
Co-supervision with Prof. Gebhard Wulfhorst
Li Zhongcan (Southwest Jiaotong University)
Co-supervision with Profs. Liping Fu and Chao Wen
Xu Yan (Southwest Jiaotong University)
Co-supervision with Prof. Evelien van der Hurk
Mingzhuang Hua (Southeast University)
Co-supervision with Prof. Xuewu Chen

Research Assistants

Antonios Koutounidis

Past Members

Faculty / Researchers
Postdocs
PhD students
Vishnu Baburajan IST, 2021, Thesis title: “Automated Text Analysis on Open-Ended Response Surveys: Measuring Attitudes Regarding Autonomous Vehicles”
Francisco Antunes UC, 2021, Thesis title: “Active Learning Metamodels for Transport Simulation Problems”
Yafei Han MIT, 2019, Thesis title: “Neural-embedded discrete choice models
Nassim Motamedi TUM, 2019, Thesis title: “Data­driven modeling of lane changing on freeways”
MSc students
– Aijie Shu 2021, MSc Transport & Logistics, Thesis: “Multi-task classification of trip mode and purpose: Leveraging transfer-learning and artificial neural networks on noisy and class-imbalanced GPS trajectories”
– Joan Omella 2021, MSc Transport & Logistics, Thesis: “Metamodel optimization for traffic simulation calibration”
– Kleio Milia, Magnus Hedengran 2021, MSc Transport & Logistics, Thesis: “Smart parking: Forecasting cruising time using big data”
– Michael Wamberg 2021, MSc Math. Modelling and Comp., Thesis: “Bayesian inference for probabilistic skill assessment: Ranking and rating of football clubs and players”
– Simone Vestergaard, Rebecca Sommer 2021, MSc Business Analytics, Thesis: “Automization of the supplier selection for SimpleFeast to ensure maximization of value”
– Christian Glissov, Tobias Konradsen 2021, MSc Math. Modelling and Comp., Thesis: “Recurrent Flows for Video Generation”
– Francisco Jose Perez Dominguez 2020, MSc Transport & Logistics, Thesis: “Applying a multi-layer network model for multi-modal trip planning in MaaS”
– Antonios Koutounidis 2020, MSc Transport & Logistics, Thesis: “A travel and energy behaviour sensitive optimisation for charging of private EV fleet in the Danish context”
– David Zhuravlev 2020, MSc Industrial Engineering, Thesis: “Developing a reinforcement learning approach to trading strategy in energy balancing markets”
– Nikolaos Nakis 2020, MSc Math. Modelling and Comp., Thesis: “Task-free Variational Continual Learning”
– Kasper Rolsted 2020, MSc Math. Modelling and Comp., Thesis: “Generalized Heteroscedastic Multi-output Censored Gaussian Processes for Demand Prediction”
– Mathias Tygesen 2020, MSc Math. Modelling and Comp., Thesis: “Density estimation with Normalizing Flows”
– Johannes Benjamin Eckert 2019, MSc Industrial Engineering, Thesis:Exploring blockchain in user-centric emission trading systems for multi-modal mobility”
– Kris Walther 2019, MSc Math. Modelling and Comp., Thesis: “Spatio-temporal modelling and forecasting of road traffic using Gaussian processes and deep neural nets”
– Anders Parslov 2019, MSc Math. Modelling and Comp., Thesis: “Uncertainty Estimation and Quantile Regression in Neural Networks for Bus Arrival Time Prediction”
– Mathilde Loft 2019, MSc Math. Modelling and Comp., Thesis: “Deep Survival Analysis for Shared Mobility”
– Sebastian Balle 2019, MSc Math. Modelling and Comp., Thesis: “Spatio-temporal analysis of bicycle incidents in the urban area of Copenhagen”