Michael Szell

Welcome! I am associate professor at ITU Copenhagen, NERDS. My research focuses on mobility, sustainable transport, and quantification of interlinked human behavior. My preferred research methods are network analysis, data science, and data visualization.

Curriculum Vitae
last update 2023-05-22

Contact

Email
michael.szell@gmail.com
Address
Computer Science Dept.
ITU Copenhagen
Rued Langgaards Vej 7
2300 København, Denmark
Office
3F11, Kaj Munks Vej 9

Profiles

Scholar | ORCID | arXiv | Github |

Toots from @mszll@datasci.social

Recent papers

EPJ Data Science: Revealing the determinants of gender inequality in urban cycling with large-scale data

Transport Findings: Computational Desire Line Analysis of Cyclists on the Dybbølsbro Intersection in Copenhagen

Environment and Planning B: Data-driven micromobility network planning for demand and safety

Environment and Planning B: Multimodal urban mobility and multilayer transport networks

→ See all papers

Recent media coverage

Ingeniøren: Københavns Politi om den nye, diagonale cykelsti: Husk vores bemærkninger, hvis pressen ringer

Forskerforum: DATANØRDER HAR FUNDET KODEN TIL DET GODE FORSKNINGSMILJØ

Radio Ö1: Wissen Aktuell - Radwege verbessern durch Netzwerkforschung

Prosabladet: Ny forskning: "Automated Detection of Missing Links in Bicycle Networks

→ See all media coverage

BA or MSc supervision

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.
  • 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

  • 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
    		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

Office hours

a.k.a. Student drop-in hours: Tue 11-12, or by appointment.

Project ideas

Below are some ideas 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.

Current semester


Project 1

Previous semesters


Project 1

Project 2

↓ Toggle all previous project ideas ↓
Project 3

Project 1

Project 2

Project 3

Teaching activities

Current semester


Fall 2022Instructor (65%),
Course manager		Introduction to Data Science and Programming (BSINDSP1KU)
ECTS Credits: 15.0

Past semesters


Spring 2022Instructor (75%),
Course manager		Geospatial Data Science (KSGEDAS1KU)
ECTS Credits: 7.5
Fall 2021Instructor (65%),
Course manager		Introduction to Data Science and Programming (BSINDSP1KU)
ECTS Credits: 15.0
Spring 2021Instructor (30%),
Course manager		First Year Project (BSFIYEP1KU)
ECTS Credits: 15.0
Fall 2020Instructor (65%),
Course manager		Introduction to Data Science and Programming (BSINDSP1KU)
ECTS Credits: 15.0
Fall 2019Instructor (70%),
Course manager		Technical Communication (BSTECOM1KU)
ECTS Credits: 7.5
Fall 2019Instructor (50%)Introduction to Data Science and Programming (BSINDSP1KU)
ECTS Credits: 15.0
Fall 2018Instructor,
Course manager		Data and Network Visualization (DNDS 6002)
Credits: 2.0, ECTS Credits: 4.0
Fall 2018Instructor,
Course manager		Urban Networks and Human Mobility (DNDS 6003)
Credits: 2.0, ECTS Credits: 4.0
Spring 2018Instructor,
Course manager		Statistical Methods in Network Science and Data Analysis (CNSC 6013)
Credits: 4.0, ECTS Credits: 8.0

Single classes and short-term courses


2022-09-13
Slides
InstructorIT and Green Transitions - Sustainable Mobility and Data-driven Planning
2020-04-21Guest instructorReflections on Data Science
2019-04-17Guest instructorSG2 Analytisches Gestaltungsprojekt, HfG Schwäbisch Gmünd
2017-11-30Guest instructorData and Network Visualization
2017-11-24Guest instructorJustData - University Wide Course
2016-08-23
2016-08-18		Seminar chairSeminar Understanding Big Data, European Forum Alpbach 2016
Alpbach, Austria