Team

Faculty

Francisco Pereira
Professor
  • Machine Learning
  • Intel. Transport Systems
  • Simulation modelling
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Carlos Lima Azevedo
Associate Professor
  • Transport Simulation
  • Demand Management
  • Behaviour modelling
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Filipe Rodrigues
Associate Professor
  • Machine Learning
  • Urban Mobility
  • Econometrics
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Rico Krueger
Assistant Professor
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Postdocs

Mayara Monteiro
  • Travel Behaviour
  • Demand Modeling
  • Choice Modeling
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Georges Sfeir
  • Choice Modeling
  • Machine Learning
  • Travel Behavior
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PhD Students

Ioanna Arkoudi
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Renming Liu
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Christoffer Riis
  • Machine Learning
  • Causality
  • Active Learning
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Mathias Tygesen
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Frederik Hüttel
  • Bayesian Deep Learning
  • Active Learning
  • Demand modelling
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Victor Flensburg
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Antoine Dubois
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Atefeh H. Golsefidi
  • Mathematical Modelling
  • EV Charging Planning
  • EV Infrastructure
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Carolin Schmidt
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Lorena Torres Lahoz
  • Choice Modeling
  • Scenario Discovery
  • Travel Behaviour
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Visiting PhD Students / Ongoing Collaborations

Gabriel Valença (IST)
Visiting Student (Supervised by Filipe Moura and Ana Morais de Sá)
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Miguel Costa (IST)
Co-supervision with Prof. Filipe Moura and Manuel Marques
  • Cycling Safety
  • Perception of Satefy
  • Machine Learning
Mohamed Eldafrawi (Sapienza University of Rome)
Co-supervision with Prof. Guido Gentile
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Keren-Or Rosenbaum (Technion - Israel Institute of Technology)
Co-supervision with Prof. Yoram Shiftan
  • Systems Thinking
  • System Dynamics
  • Realtime decision making
Zhongcan Li (Southwest Jiaotong University)
Co-supervision with Profs. Liping Fu and Chao Wen
Yunhai Gong (Dalian University of Technology)
Co-supervision with Prof. Shaopeng Zhong
Xu Yan (Southwest Jiaotong University)
Co-supervision with Prof. Evelien van der Hurk
Ana Martins (IST)
Co-supervision with Prof. Filipe Moura
Mingzhuang Hua (Southeast University)
Co-supervision with Prof. Xuewu Chen
Cloe Cortes Balcells (EPFL)
Co-supervision with Prof. Michel Bierlaire

Past Members

Faculty / Researchers
Postdocs
PhD students
Sergio Garrido 2019 – 2022, Thesis title:
Visiting PhD students / External Collaborations
Giovanni Tuveri (University of Cagliari), Co-supervision with Prof. Italo Meloni
Santhanakrishnan Narayanan (TUM), Co-supervision with Prof. Constantinos Antoniou
Lampros Yfantis (UCL), Co-supervision with Prof. Maria Kamargianni
Vishnu Baburajan 2021, Thesis title: Automated Text Analysis on Open Ended Response Surveys: Measuring Attitudes Regarding Autonomous Vehicles
Nassim Motamedi (TUM) 2019, Thesis title: “Data­driven modeling of lane changing on freeways”
MSc students
Mark Tselikov 2022, MSc Business Analytics, Thesis: Causal Metamodels for Simulators
Theis Hjortkjær 2022, MSc Math. Modelling and Comp., Thesis: Zero-Shot learning of shared mobility demand using meta learning and graph neural networks
– Toke Bøgelund-Andersen 2022, MSc Business Analytics, Thesis: Predicting Car Pick-Up Times in Shared Mobility with Deep Graph Neural Networks
– Peter Groth 2022, MSc Math. Modelling and Comp., Thesis: Trajectory Forecasting with Graph Neural Networks
– Lorena Torres Lahoz 2022, MSc Math. Modelling and Comp., Thesis: Latent Class Choice Models using Machine Learning: Application to Individual Decisions in Sustainable Mobility
Aikaterini Antonoudi & Andreas Arampatzis 2021, MSc Transport & Logistics, Thesis: Estimating Spatio-Temporal Demand for Electric Vehicle Charging
Gauthier Belpaire 2021, MSc Business Analytics, Thesis: EV charging demand prediction from GPS traces
Jacques Michel 2021, MSc Business Analytics, Thesis: Machine Learning applied to shipbuilding market analysis
Mattia Andreotti 2021, MSc Industrial Engineering, Thesis: Predictive Maintenance at Haldor Topsoe
Andreas Kaae 2021, MSc Transport & Logistics, Thesis: Survival Analysis Modeling of Electric Vehicle Charging
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
Research assistants
Antonios Koutounidis 2020-2022