Faculty
Francisco Pereira
Professor
Carlos Lima Azevedo
Associate Professor
Filipe Rodrigues
Associate Professor
Rico Krueger
Assistant Professor
Postdocs
Mayara Monteiro
Francisco Antunes
Georges Sfeir
PhD Students
Sergio Garrido
Daniele Gammelli
Ioanna Arkoudi
Renming Liu
Christoffer Riis
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)
Gabriel Valença (IST)
Visiting Student (Supervised by Filipe Moura and Ana Morais de Sá)
Past Members
Faculty / Researchers
Postdocs
PhD students
– David Durán-Rodas 2021, Thesis title: “Efficiency and/or equity? Understanding and planning bike-sharing based on spatial fairness“
– Niklas Petersen 2021, Thesis title: “Multi-model bus arrival prediction with intelligent handling of uncertainties“
– Georges Sfeir AUB, 2021, Thesis title: “Integration of Machine Learning and Discrete Choice Models to better predict and describe decision marker’s choices“
– 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”
– Ioulia Markou 2019, Thesis title: “Detection, analysis and prediction of traffic anomalies due to special events“
– Aliasghar Mehdizadeh Dastjerdi 2019, Thesis title: “ATIS and Commuters Behavior: Factors Affecting Behavioral Intentions Toward the Use of Travel Information Technology”
– Nassim Motamedi TUM, 2019, Thesis title: “Datadriven modeling of lane changing on freeways”
– Haizheng Zhang MIT, 2018, Thesis title: “Online calibration for simulation-based dynamic traffic assignment : towards large-scale and real-time performance“
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”
– 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”
– 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”
– 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