Research

• (Most Visionary Paper Award) Towards Reducing School Segregation by Intervening on Transportation Networks - [paper] - AAMAS 2023 - C-MAS Workshop.
• Fairness in Transport Network Design - A Multi-Objective Reinforcement Learning Approach - [paper] - AAMAS 2023 - ALA Workshop.
• Balancing Fairness and Efficiency in Transport Network Design through Reinforcement Learning - [paper] - AAMAS 2023.
• Optimizing Fairness in Transport Network Design using Deep Reinforcement Learning (Dimitris Michailidis, Sennay Ghebreab and Fernando P. Santos) - [paper] - IJCAI 2022, DSO Workshop.

Blog Posts

• Designing Fair Public Transportation using Reinforcement Learning
• AIES 2021: Our Post-Event Review
• How can AI Help Tackle Mobility Poverty?

About me

I am a PhD student at the Civic AI Lab of the University of Amsterdam.

In my research, I use Machine Learning to design inclusive, accessible and sustainable cities.

My current focus is on using Reinforcement Learning to explore the trade-off between utility and equity/fairness when designing public transport networks.

In the near future, I would like to investigate how would urban populations adapt to such changes in a city's public tranport networks.

My goal is to create a multi-agent framework that helps to envision alternative urban designs and their evolution in time.

Sounds interesting? Then please, get in touch!

Teaching & Supervision

Master's Students Supervision

• Riccardo Fiorista (fiorista.riccardo@gmail.com) - Equitable Public Transport Network Reduction: A Reinforcement Learning Approach - MSc Thesis, Spring 2022
• Paul Stepanov (paulstepanov@yahoo.com) - Fairness in Facility Location through Clustering - MSc Thesis, Spring 2022
• Lodewijk van Keizerswaard (lodewijk.keizer@gmail.com) - Rewarding rationality to improve reinforcement learning models on the metro network design problem - MSc AI Project, Summer 2022
• Laura Brafine (Linkedin) - Measuring the Impact of Transportation Systems on Urban Segregation Through Random Walks - MSc Thesis Project, Spring 2023

Courses Taught

• Reinforcement Learning - Artificial Intelligence MSc (2023)
• Fundamentals of Data Science - Information Studies MSc - Data Science Track (2021, 2022)
• Fairness Accountability Confidentiality and Transparency in AI - Artificial Intelligence MSc (2022, 2023)

(Sub-)Reviewing

• NetSciX (2024)
• AAAI (2024)
• ECAI (2023)
• Public Transport Journal
• Multi-Objective Decision Making Workshop (ECAI 2023)

Personal Projects

I am also developing Greece in Figures, an organization that aims to explain complex socioeconomic phenomena in simple words & clean graphs, for the Greek audience.

I used to create interactive data stories on society and culture and post them on my blog Thousand Words. This idea has now been evolved into 100 Europeans, an organization that aims to raise awareness around the big challenges of our time by breaking them down into relatable, interactive and visual stories, in which Europe is a community of just 100 people. 100 Europeans recently won 2nd prize at the EU Datathon 2022 final in Brussels.

Communication

You can reach me by email: d.michailidis at uva.nl, on Twitter or Linkedin.