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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Rico Krueger
Assistant Professor
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Postdocs

Mayara Monteiro
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Francisco Antunes
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Georges Sfeir

PhD Students

Sergio Garrido
Daniele Gammelli
Ioanna Arkoudi
Renming Liu
Christoffer Riis
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Mathias Tygesen
Frederik Hüttel
Victor Flensburg
Antoine Dubois
Atefeh Hemmati Golsefidi
Carolin Schmidt
Lorena Torres Lahoz
Lampros Yfantis (UCL)
Co-supervision with Prof. Maria Kamargianni
Ana Martins (IST)
Co-supervision with Prof. Filipe Moura
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
Yunhai Gong (Dalian University of Technology)
Co-supervision with Prof. Shaopeng Zhong
Giovanni Tuveri (University of Cagliari)
Co-supervision with Prof. Italo Meloni
Keren-Or Rosenbaum (Technion - Israel Institute of Technology)
Co-supervision with Prof. Yoram Shiftan
Cloe Cortes Balcells (EPFL)
Co-supervision with Prof. Michel Bierlaire
Mohamed Eldafrawi (Sapienza University of Rome)
Co-supervision with Prof. Guido Gentile
Miguel Costa (IST)
Co-supervision with Prof. Filipe Moura and Manuel Marques, PhD.
Santhanakrishnan Narayanan (TUM)
Visiting Student (Supervised by Constantinos Antoniou)
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Gabriel Valença (IST)
Visiting Student (Supervised by Filipe Moura and Ana Morais de Sá)
 

Past Members

Faculty / Researchers
 
Postdocs
 
PhD students
Valentino Servizi 2022, Thesis title: “Mining User Transport Behavior from Smartphones
 
 
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
– 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