Michael Szell

• Publications
• Activities
• Projects
• Media
• Teaching

BA or MSc supervision

I am not supervising BA or MSc projects until Fall 2025. For supervision opportunities through my colleagues, please go to: https://nerds.itu.dk/students/

PhD supervision, PostDoc, internships

Any PhD or PostDoc opportunities are announced on our group webpage: nerds.itu.dk

I am generally open to welcome self-funded research visitors if the topic of collaboration makes sense - for such inquiries please contact me via email.

Teaching materials

• Geospatial Data Science
  
  ECTS Credits: 7.5
  This course provides an introduction into core concepts and applications of data science based approaches to geospatial data analysis.
• Geospatial Data Science Tutorial
  
  This 3h tutorial is a condensed version of the course above, held at IC2S2'23.
• First Year Project
  
  ECTS Credits: 3.75
  This course aims to familiarize students with the pipeline for Data Science projects.
• Introduction to Data Science and Programming
  
  ECTS Credits: 15.0
  This course is an introduction to programming, data science and related foundations.

Supervised students and theses

All theses made available with explicit consent by the students.

• 2024	MSc, Frederik Peter Høngaard Exploring the Potential of Geospatial Data Science for Real Estate Appraisal

• 2024	MSc, Julius Thomas Markus Roder and Sebastian Rohr Watt Predicting GeoGuessr Locations Using Transformer Models

• 2024	BA, Gareth Edward Thomas Assessing the availability of protected cycling infrastructure along projected school routes within the city of Copenhagen

• 2023	MSc, Emil Bak-Møller The Traveling Salesman Problem on Public Transport in Denmark

• 2023 Thesis

  MSc, Carlson M. Büth From Gridlocks to Greenways: Analyzing the Network Effects of Computationally Generated Low Traffic Neighborhoods

• 2023 Thesis

  MSc, Jan Leonard Schelhaas and Peter Gregory Mehler The N-Minute City: Evaluating multi-modal accessibility in Denmark and the United States

• 2023 Thesis

  MSc, Christian Hedegaard Pliess Larsen Exploring Hedging Strategies for Multiple Players in GeoGuessr: A Study of Centrality in Geospatial Networks

• 2023 Thesis

  MSc, Anita Zielińska and Edi Begovic Bridging shade gaps in urban bicycle networks

• 2022	MSc, Dominik Chomicki Developing a data annotation platform for urban traffic analysis

• 2022 Thesis Article

  BA, Simon Breum CycleCV - Detect, Analyze and Track Cyclists’ Movements

• 2022	BA, Mads Høgenhaug, Marcus Friis, Mikkel Petersen Simulating traffic flow in Dybbølsbro intersection - CycleCV

• 2021-2022 Article

  Lagrange Scholar, Pietro Folco Data-driven bicycle network planning for demand and safety

• 2021 Thesis Article

  MSc, Anastassia Vybornova Identifying and classifying gaps in the bicycle network of Copenhagen

• 2020-2021 Thesis

  MSc, Cecilia Laura Kolding Andersen and Morten Lynghede Developing an Interactive Visualization of Bicycle Network Growth

• 2021 Thesis

  BA, Edi Begovic and Høgni Ziska Maree Jacobsen Quantifying cyclist behavior at intersections using automated video analysis

• 2019-2021 Article

  Lagrange Scholar, Marina Klanjčić Identifying urban features for vulnerable road user safety in Europe

• 2018-2021 Thesis

  PhD, Luis Guillermo Natera Orozco Multilayer network analysis of sustainable, multimodal urban transport networks

• 2020	MSc, Albert-Hose Llebaria Holda Sustainable roof mapping from satellite image inventory

• 2020	BA, Martin Bedsted Villandsen The impact of data visualizations for decision making in a scale-up business

Project ideas

I am not supervising BA or MSc projects until Fall 2025. Below are some previous ideas and results for Master’s theses, Bachelor projects and other projects for students at IT University of Copenhagen. Please use the contact form at https://nerds.itu.dk/students/ to get started. Feel free to propose your own ideas.

Results:

superblockify.city

Results:

Thesis

Results:

Article

Results:

GrowBike.Net

Results:

Article

Results:

Article

Teaching activities

Single classes and short-term courses