Research

TRANSP-OR: Evangelos Paschalidis

Evangelos Paschalidis

This page reports only the academic work registered in the databases of the Transport and Mobility Laboratory, and is not necessarily a comprehensive list of the work by Evangelos Paschalidis.

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Evangelos Paschalidis

International journals

Published

Total: 2

      Papers in conference proceedings

      • Baud, C., Paschalidis, E., Vortisch, A., Beine, M., and Bierlaire, M. (2023). Migration patterns of Europeans after Brexit. Proceedings of the 24th Swiss Transport Research Conference (STRC) 15-17 May, 2023.
      • Beine, M., Bierlaire, M., Paschalidis, E., and Vortisch, A. (2023). Sampling of alternatives in migration aspiration models. Proceedings of the 23rd Swiss Transport Research Conference (STRC) 10-12 May, 2023.

      Technical reports

      • Bierlaire, M., and Paschalidis, E. (2023). Estimating MEV models with samples of alternatives. Technical report TRANSP-OR 231225. Transport and Mobility Laboratory, ENAC, EPFL.

      Seminars

      Research projects

      Optimizing the physical workplace for Urban Socio-Environmental performance (Opt-USE)
      Sponsor: School of Architecture, Civil and Environmental Engineering (ENAC), École polytechnique fédérale de Lausanne
      Team: Michel Bierlaire (PI), Evangelos Paschalidis (PM)
      Period: November 01, 2024-October 31, 2026
      We have entered a new era of building use and work patterns. A plurality of workers in recent surveys have reported working in a hybrid format compared to office only or home only. This has resulted in low office occupancy rates. These evolving patterns of behavior have called into question the value of physical office space and added an additional layer of complexity to optimal performance of building, energy, and transportation systems. At the same time, these office buildings serve a fundamentally human purpose, facilitating interactions and collaboration among members of organizations. Such organizational processes are at risk with reduced use of office space. In this project, we aim to collaborate with Fribourg companies and organizations to collect data on workplace behavior and interactions, building space use, and commuting practices. We will develop models to aid in the optimization of flexible working policies that balance effectiveness of workplace interactions, building energy and spatial efficiency, and commuting costs. Leveraging multi-objective optimization, we propose to develop a decision-support framework for companies to tailor their remote working policies, ensuring a harmonious balance between employee well-being, environmental considerations, and operational efficiency. This research aims to address the intersection of socio-organizational and environmental goals in the operation and utilization of the built environment in Fribourg and Switzerland.
      Migration and Discrete Choice Models (MIGDCM)
      Sponsor: Swiss National Science Foundation
      Team: Michel Bierlaire (PI), Silvia Varotto (PM), Evangelos Paschalidis (PM)
      Period: March 01, 2022-March 31, 2025
      International migration is at the forefront of policy debates in most countries around the world. In industrialized nations, the proportion of foreigners in total population increased from 4.5 to 12 percent between 1960 and 2019, stirring up fears about economic costs for natives, loss of national identity, and integration issues. In poor countries, international migration raises concerns about the brain drain of highly-skilled workers, as college and university graduates have a much greater propensity to emigrate internationally than the less educated. Hence, the questions of how many people migrate (i.e., migration intensity}, which people migrate first or are more likely to migrate (i.e., migrants' selection), and where migrants choose to settle (i.e., migrants' sorting) have been analyzed from all possible angles in recent literature. Specifically, understanding how people revise their decisions about whether to emigrate, and where to, when facing changes in the global environment is of crucial importance for decision-makers.

      Regular teaching

      Decision-aid methodologies in transportation
      Year: Spring 2025
      Section(s): Civil Engineering
      Lecturers: Fabian Torres, Evangelos Paschalidis
      Teaching assistant: Tom Haering, Prunelle Vogler
      Mathematical modeling of behavior
      Year: Fall 2024
      Section(s): Mathematics, Master in Financial Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Evangelos Paschalidis, Negar Rezvany, Cloe Cortes Balcells, Pavel Ilinov
      Webpage: https://moodle.epfl.ch/course/view.php?id=1001
      Decision-aid methodologies in transportation
      Year: Spring 2024
      Section(s): Civil Engineering
      Lecturers: Fabian Torres, Evangelos Paschalidis
      Teaching assistant: Tom Haering
      Mathematical modeling of behavior
      Year: Fall 2023
      Section(s): Mathematics, Master in Financial Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Evangelos Paschalidis, Nicola Ortelli, Janody Pougala, Cloe Cortes Balcells
      Webpage: https://moodle.epfl.ch/course/view.php?id=1001
      Decision-aid methodologies in transportation
      Year: Spring 2023
      Section(s): Civil Engineering
      Lecturers: Fabian Torres, Evangelos Paschalidis
      Teaching assistant: Selin Atac, Tom Haering

      Miscellaneous lectures

      Bayesian Estimation; Individual Prediction
      Program: Discrete Choice Analysis: Bayesian estimation and Individual prediction, January 30, 2025
      School: EPFL
      Lecturer: Pavel Ilinov
      Assistants: Cloe Cortes Balcells, Evangelos Paschalidis
      Logit Mixtures; Combining Data (SP and RP)
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, January 28, 2025
      School: EPFL
      Lecturer: Evangelos Paschalidis
      Assistants: Marija Kukic, Pavel Ilinov
      Introduction, Logit Estimation and Testing
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, January 26, 2025
      School: EPFL
      Lecturer: Tom Haering
      Assistants: Lea Ricard, Evangelos Paschalidis
      Bayesian Estimation; Individual Prediction
      Program: Discrete Choice Analysis: Bayesian estimation and Individual prediction, February 15, 2024
      School: EPFL
      Lecturer: Pavel Ilinov
      Assistants: Marija Kukic, Evangelos Paschalidis
      Logit Mixtures; Combining Data (SP and RP)
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 13, 2024
      School: EPFL
      Lecturer: Evangelos Paschalidis
      Assistants: Cloe Cortes Balcells, Nicola Ortelli
      Nested logit; Aggregate forecasting
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 12, 2024
      School: EPFL
      Lecturer: Cloe Cortes Balcells
      Assistants: Pavel Ilinov, Evangelos Paschalidis
      Hybrid choice models
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 01, 2023
      School: EPFL
      Lecturer: Nicola Ortelli
      Assistants: Tom Haering, Evangelos Paschalidis, Janody Pougala
      Logit Mixtures; Combining Data (SP and RP)
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, January 31, 2023
      School: EPFL
      Lecturer: Evangelos Paschalidis
      Assistants: Cloe Cortes Balcells, Janody Pougala, Negar Rezvany

      Project supervision

      Masters theses

      Alexandre Monti
      Section: Mathematics
      Application of the information-theoretic clustering to the discrete choice
      Supervision:Pavel Ilinov, Evangelos Paschalidis, Michel Bierlaire
      Expert:
      19/02/2024-28/06/2024

      Semester projects

      • Theory and implementation of connectors in public transport demand models, Emilien Ulrich, January 15, 2026
      • Demand estimation on the RER Vaud, Riad Bitar, May 26, 2025
      • Comparative analysis of discrete choice models estimation using different software packages, Alexia Stephanie Liviana Paratte, May 31, 2024
      • Improving the specification of migration aspiration discrete choice models via attitudinal variables, Anne-Valérie Preto (SGC), May 31, 2024
      • Predicting activity schedules of the population considering non-pharmaceutical interventions, Arthur Nussbaumer, June 03, 2023