Anastasios Skoufas

📚 Scientific background 🎓

I earned my MEng in Rural and Surveying Engineering (major in Transportation Engineering) from the Aristotle University of Thessaloniki (AUTh), Greece, (2019), and my MSc in Transport and Geoinformation Technology from KTH (2022). My first master's thesis was focused on the evaluation of a C-ITS service for enhancing safety at level crossings in collaboration with the Hellenic Institute of Transport (SAFER-LC project). My second master’s thesis at KTH was focused on the design of public transportation networks in collaboration with Trafikförvaltingen, Region Stockholm.

💼 Professional experience 💼

My professional experience spans several research assistant roles in institutions such as the Hellenic Institute of Transport (HIT-CERTH) (2018), the Centre for Traffic Research (CTR) (2021), as well as in universities such as the Aristotle University of Thessaloniki (Department of Transportation and Hydraulic Engineering) (2019-2020) and KTH (2022-2023). Last, my role as Finance Manager - Fundraiser in the research team, Panther Racing AUTh (2017-2018), sharpened my strategic financial planning and budgeting skills, while contributing to an innovative project focusing on the development of a racing motorcycle.

👨🏻‍💻 Current Research 📊

Have you ever experienced a crowded bus or train when going to work or meeting up with friends? If the answer is yes, have you wondered what planners and policy-makers can do better to manage crowding in public transportation systems?

In my current research, funded by Region Stockholm (CAPACITY project, 2023-2024) and the Swedish Transport Administration (Demand management for crowding reduction in urban transport by passenger groups, 2025-2027), I am trying to answer the latter very crucial question. The answer is not that simple since crowding is a multidimensional phenomenon affected by decisions on multiple levels (e.g., individual, societal, infrastructural, and administrative).

Automated data sources (smart card data) are the main data source I use to model and monitor crowding in the large public transportation system of Region Stockholm. Smart card data are electronic records generated when passengers access the public transportation system.

I see evidence-based policy initiatives as the added value of my work toward more efficient and sustainable transportation systems.

Interested to know more? Feel free to check out my latest publications!

1. Assessing contributions of passenger groups to public transportation crowding

2. Ex-Post Assessment of Public Transportation On-Board Crowding Induced by New Urban Developments

3. My licentiate thesis

👨‍🏫 Pedagogical activities 🦉

I am a teaching assistant in the master's level course AH2173 - Public Transport. Specifically, I am supervising the students' group projects. In this project, students need to perform a quantitative and/or qualitative analysis in the field of public transport using API-based data sources from TrafikLab (or the home for the Swedish public transport data) and/or collecting their own data (e.g., through surveys or field studies).

Last, I am contributing to supervising students' theses and projects.

🤝 Extroverse 🌍

An important part of my work concerns the delivery of engaging presentations to both technical and non-technical audiences through conference participation, and invited talks. Last, I am a member of the following organizations:

• 2025 – now: Member of the EIT Urban Mobility Consultancy

• 2023 – now: Member of the Hellenic Institute of Transportation Engineers (HITE)

• 2022 – now: Member of the Swedish Association of Graduate Engineers (Sveriges Ingenjörer)

• 2019 – now: Member of the Technical Chamber of Greece