Collective Intelligence in Active and Living Matter

FOCUS · MAR-M59 · ID: 3979812

Presentations

  • ORAL · Invited

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    Presenters

    • Manu Prakash

      • Stanford University

    Authors

    • Manu Prakash

      • Stanford University

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  • ORAL

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    Presenters

    • Danielle L. Chase

      • University of Colorado, Boulder

    Authors

    • Danielle L. Chase

      • University of Colorado, Boulder

    • Matthew Harper

      • University of Colorado, Boulder

    • Orit Peleg

      • University of Colorado, Boulder

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  • ORAL

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    Publication: Bandil, P., Geisler, A., Leclech, C., Barrasa-Ramos, S., Barakat, A. I., & Vernerey, F. J. (2025). A Morphodynamic Network Model to Describe Cell Organization and Nematic Ordering in Monolayers. bioRxiv. https://doi.org/10.1101/2025.07.21.666048v2

    Presenters

    • Ari Geisler

      • University of Colorado, Boulder

    Authors

    • Ari Geisler

      • University of Colorado, Boulder

    • Prakhar Bandil

      • University of Colorado, Boulder

    • Abdul Barakat

      • Ecole Polytechnique

    • Franck J Vernerey

      • University of Colorado, Boulder

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  • ORAL

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    Presenters

    • Jiyeon Maeng

      • Georgia Institute of Technology

    Authors

    • Jiyeon Maeng

      • Georgia Institute of Technology

    • Simon L Gage

      • Georgia Institute of Technology

    • Naitik Mundra

      • Georgia Institute of Technology

    • Manukiran Mocharla

      • Walton Highschool

    • Shengkai Li

      • Princeton University

    • Todd D Murphey

      • Northwestern University

    • Daniel I Goldman

      • Georgia Institute of Technology
      • Georgia Tech

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  • ORAL

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    Publication: Gaimann, M. U., & Klopotek, M. (2025). Robustly optimal dynamics for active matter reservoir computing. ArXiv. http://arxiv.org/abs/2505.05420
    Gaimann, M. U., & Klopotek, M. (2025). Optimal information injection and transfer mechanisms for active matter reservoir computing. ArXiv. https://arxiv.org/abs/2509.01799
    Gaimann, M. U., Huber, E., Egenlauf, P., & Klopotek, M. (2025). Coarse-Graining and Readout Optimization in Active Matter Reservoir Computing (Working Title / Manuscript in Preparation).
    Romero Castillo, Á., Gaimann, M. U., & Klopotek, M. (2025). Robustness Analysis of Active Matter Reservoir Computing and Baseline Methods (Working Title / Manuscript in Preparation).
    Lau, G., Gaimann, M. U., & Klopotek, M. (2025). Reservoir Computing with Mobile Kuramoto Oscillators (Working Title / Manuscript in Preparation).
    Gaimann, M. U., Lau, G. E., Romero Castillo, Á., Kröninger, H., Huber, E., Flach, A.-I., Schulz, L. J., Roth, J., Saidi, Y., Hemminger, J., Gern, M., Edelmaier, C., Blackwell, R., & Klopotek, M. (2025) ResoBee: A Software Framework for Reservoir Computing with Active Matter (Working Title / Manuscript in Preparation).

    Presenters

    • Mario U. Gaimann

      • Stuttgart Center for Simulation Science, University of Stuttgart, Germany
      • University of Stuttgart

    Authors

    • Mario U. Gaimann

      • Stuttgart Center for Simulation Science, University of Stuttgart, Germany
      • University of Stuttgart

    • Miriam Klopotek

      • Stuttgart Center for Simulation Science, University of Stuttgart, Germany; WIN-Kolleg of the Young Academy, Heidelberg Academy of Sciences and Humanities, Germany

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  • ORAL

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    Presenters

    • Lin Zhao

      • University of Maryland College Park

    Authors

    • Lin Zhao

      • University of Maryland College Park

    • Shuyao Gu

      • University of Maryland College Park

    • Samuel L Rosemore

      • University of Maryland College Park

    • Kashmyr Dalang

      • University of Maryland College Park

    • Nicholas Lockhart

      • University of Maryland College Park

    • John T Fourkas

      • University of Maryland College Park

    • Wolfgang Losert

      • University of Maryland College Park

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