Alexander Szorkovszky

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Academic interests

I am an applied mathematician whose main research interests are collective behaviour, complex systems, sensorimotor learning, cultural evolution and artificial life, using the tools of dynamical systems, statistical and agent-based modelling. I recently completed a Marie Skłodowska-Curie Actions fellowship (2021-2024) in which I developed adaptive robotic agents in order to uncover potential mechanisms behind entrainment in humans. Details of this work can be found in the project Synchronized Robotics.

 

Academic history

  • 2014-2018: Postdoc, Mathematics Department, Uppsala University, Sweden
  • 2010-2014: PhD in Physics, University of Queensland, Australia
  • 2004-2008: B.Sc. (Hons.), Physics and Computer Science, University of New South Wales, Australia

 

 

 

 

Tags: Robotics, Entrainment, Motor Control, Interaction, Collective behaviour

Publications

  • Corral-Lopez, Alberto; Bloch, Natasha I.; van der Bijl, Wouter; Cortazar-Chinarro, Maria; Szorkovszky, Alexander & Kotrschal, Alexander [Show all 11 contributors for this article] (2023). Functional convergence of genomic and transcriptomic architecture underlies schooling behaviour in a live-bearing fish. Nature Ecology and Evolution. ISSN 2397-334X. doi: 10.1038/s41559-023-02249-9. Full text in Research Archive
  • Szorkovszky, Alexander; Veenstra, Frank & Glette, Kyrre (2023). Toward cultures of rhythm in legged robots. In Iizuki, Hiroyuki; Suzuki, Keisuke; Uno, Ryoko; Damiano, Luisa; Spychala, Nadine; Aguilera, Miguel; Izquierdo, Eduardo; Suzuki, Reiji & Baltieri, Manuel (Ed.), ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. MIT Press. ISSN 0000000000000. doi: https:/doi.org/10.1162/isal_a_00673. Full text in Research Archive
  • Veenstra, Frank; Szorkovszky, Alexander & Glette, Kyrre (2023). Decentralized Control and Morphological Evolution of 2D Virtual Creatures . In Iizuki, Hiroyuki; Suzuki, Keisuke; Uno, Ryoko; Damiano, Luisa; Spychala, Nadine; Aguilera, Miguel; Izquierdo, Eduardo; Suzuki, Reiji & Baltieri, Manuel (Ed.), ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. MIT Press. ISSN 0000000000000. doi: https:/doi.org/10.1162/isal_a_00656.
  • Corral-Lopez, Alberto; Kotrschal, Alexander; Szorkovszky, Alexander; Garate-Olaizola, Maddi; Herbert-Read, James & van der Bijl, Wouter [Show all 13 contributors for this article] (2023). Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation contexts in guppies. Nature Communications. ISSN 2041-1723. 14(1). doi: 10.1038/s41467-023-41635-6. Full text in Research Archive
  • Szorkovszky, Alexander; Veenstra, Frank; Lartillot, Olivier Serge Gabriel; Jensenius, Alexander Refsum & Glette, Kyrre (2023). Embodied Tempo Tracking with a Virtual Quadruped, Proceedings of the Sound and Music Computing Conference 2023. SMC Network . ISSN 978-91-527-7372-7. doi: 10.5281/zenodo.10060970. Full text in Research Archive
  • Szorkovszky, Alexander; Veenstra, Frank & Glette, Kyrre (2023). From real-time adaptation to social learning in robot ecosystems. Frontiers in Robotics and AI. ISSN 2296-9144. 10. doi: 10.3389/frobt.2023.1232708. Full text in Research Archive
  • Gyllingberg, Linnéa; Szorkovszky, Alexander & Sumpter, David (2023). Using neuronal models to capture burst-and-glide motion and leadership in fish. Journal of the Royal Society Interface. ISSN 1742-5689. 20(204), p. 1–13. doi: 10.1098/rsif.2023.0212.
  • Szorkovszky, Alexander; Veenstra, Frank & Glette, Kyrre (2023). Central pattern generators evolved for real-time adaptation to rhythmic stimuli. Bioinspiration & Biomimetics. ISSN 1748-3182. 18(4). doi: 10.1088/1748-3190/ace017. Full text in Research Archive
  • Levens, Watson; Szorkovszky, Alexander & Sumpter, David (2022). Friend of a friend models of network growth. Royal Society Open Science. ISSN 2054-5703. 9(10), p. 1–17. doi: 10.1098/rsos.221200.
  • Szorkovszky, Alexander; Veenstra, Frank & Glette, Kyrre (2022). Rapid rhythmic entrainment in bio-inspired central pattern generators, 2022 International Joint Conference on Neural Networks (IJCNN). IEEE conference proceedings. ISSN 978-1-7281-8671-9. doi: 10.1109/IJCNN55064.2022.9891909. Full text in Research Archive

View all works in Cristin

  • Szorkovszky, Alexander; Veenstra, Frank & Glette, Kyrre (2022). From real-time adaptation to social learning in robots.

View all works in Cristin

Published Sep. 22, 2021 9:35 AM - Last modified Feb. 7, 2024 1:40 PM

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