Team

Faculty

Francisco Pereira
Professor
EmailLinkedInWebsite
Carlos Lima Azevedo
Associate Professor
EmailLinkedInWebsite
Filipe Rodrigues
Associate Professor
EmailLinkedInWebsite
Rico Krueger
Assistant Professor
EmailLinkedInWebsite

Postdocs

Mayara Monteiro
EmailLinkedInGoogle Scholar
Francisco Antunes
EmailLinkedInGoogle Scholar
Georges Sfeir
EmailLinkedInGoogle Scholar

PhD Students

Daniele Gammelli
EmailLinkedInGoogle Scholar
Ioanna Arkoudi
Email
Renming Liu
Email
Christoffer Riis
EmailLinkedInGoogle Scholar
Mathias Tygesen
Email
Frederik Hüttel
EmailLinkedInGoogle Scholar
Victor Flensburg
Email
Antoine Dubois
Email
Atefeh Hemmati Golsefidi
EmailLinkedInGoogle Scholar
Carolin Schmidt
Email
Lorena Torres Lahoz
EmailLinkedIn

Visiting PhD Students / Ongoing Collaborations

Gabriel Valença (IST)
Visiting Student (Supervised by Filipe Moura and Ana Morais de Sá)
EmailWebsiteGoogle Scholar
Miguel Costa (IST)
Co-supervision with Prof. Filipe Moura and Manuel Marques
Mohamed Eldafrawi (Sapienza University of Rome)
Co-supervision with Prof. Guido Gentile
EmailLinkedIn
Keren-Or Rosenbaum (Technion - Israel Institute of Technology)
Co-supervision with Prof. Yoram Shiftan
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