Radosław Michalski

About me

I am an associate professor at Wrocław University of Science and Technology (Poland), Faculty of Information and Communication Technology. My research is conducted at the Department of Artificial Intelligence.

My main research is conducted in the domain of complex networks, in particular I am interested in:

social networks,
blockchain/DLT,
dynamic processes in networks,
machine learning.

I earned the PhD degree in Computer Science in 2014, and Habilitation (D.Sc.) in Information and Communication Technology in 2022.

In 2017 I established and since that time I lead BERG - Blockchain Exploration Research Group that is doing research on blockchain understood as a complex network.

I am a co-founder and co-leader of a Network Science Lab at Wrocław University of Science and Technology.

I actively work on developing the sci·cup platform that enables data scientists to participate in data-driven contests organized by companies.

My PhD supervisor was Professor Przemysław Kazienko.

Latest news (see all news)

2023-12-15 Conducting studies on social influence? Consider submitting your work to the session "Applied social influence analysis - A multidisciplinary perspective" I coorganise at Sunbelt 2024 conference. The submission deadline is February 4th, 2024. For the details look here.

2023-02-20 If you are performing research on blockchain, you might consider submitting your work to the Special Issue on Blockchain Transaction Data Mining and its Applications in IET Blockchain journal I am a Guest Co-Editor of. The deadline for submissions is the 1st of June 2023.

2023-02-01 Our paper on modelling and predicting relationship status and psychological traits from a Hawkes-modelled communication metadata has been published in IEEE Access journal. The work is titled "Predicting Relationship Labels and Individual Personality Traits From Telecommunication History in Social Networks Using Hawkes Processes" and it has been co-authored by Mateusz Nurek (PWr), Radosław Michalski (PWr), Omar Lizardo (UCLA), and Marian-Andrei Rizoiu (UTS).

2022-08-03 The publication "Temporal network epistemology: On reaching consensus in a real-world setting" previously published as an arXiv preprint has been accepted to Chaos: An Interdisciplinary Journal of Nonlinear Science and is available at https://doi.org/10.1063/5.0074992 (open access).