Publications

Please note that in many of the citations below (especially in algorithms and theoretical computer science), authors appear in alphabetical order.

Joshua J. Daymude, Andréa W. Richa, Christian Scheideler (2023). The Canonical Amoebot Model: Algorithms and Concurrency Control. Distributed Computing.

Cite Project DOI arXiv Conference Version

Joseph L. Briones, Tishya Chhabra, Joshua J. Daymude, Andréa W. Richa (2023). Invited Paper: Asynchronous Deterministic Leader Election in Three-Dimensional Programmable Matter. ICDCN 2023.

Cite Project DOI arXiv

Kirtus G. Leyba, Joshua J. Daymude, Jean-Gabriel Young, M. E. J. Newman, Jennifer Rexford, Stephanie Forrest (2022). Cutting Through the Noise to Infer Autonomous System Topology. INFOCOM 2022.

Cite Code DOI arXiv

Joshua J. Daymude, Andréa W. Richa, Christian Scheideler (2022). Local Mutual Exclusion for Dynamic, Anonymous, Bounded Memory Message Passing Systems. SAND 2022.

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Robert Axelrod, Stephanie Forrest, Joshua J. Daymude (2022). Reply to de Marchi: Modeling Polarization of Political Attitudes. Proceedings of the National Academy of Sciences.

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Anna E. Carson Daymude, Joshua J. Daymude, Roger Rochat (2022). Labor and Delivery Unit Closures in Rural Georgia from 2012 to 2016 and the Impact on Black Women: A Mixed-Methods Investigation. Maternal Child Health Journal.

Cite Code DOI SocArXiv

Robert Axelrod, Joshua J. Daymude, Stephanie Forrest (2021). Preventing Extreme Polarization of Political Attitudes. Proceedings of the National Academy of Sciences.

Cite Code DOI arXiv

Joshua J. Daymude, Noble C. Harasha, Andréa W. Richa, Ryan Yiu (2021). Deadlock and Noise in Self-Organized Aggregation Without Computation. SSS 2021.

Cite Code DOI arXiv Talk

Joshua J. Daymude, Andréa W. Richa, Christian Scheideler (2021). The Canonical Amoebot Model: Algorithms and Concurrency Control. DISC 2021.

Cite Project DOI arXiv Talk Journal Version

Shengkai Li, Bahnisikha Dutta, Sarah Cannon, Joshua J. Daymude, Ram Avinery, Enes Aydin, Andréa W. Richa, Daniel I. Goldman, Dana Randall (2021). Programming Active Cohesive Granular Matter with Mechanically Induced Phase Changes. Science Advances.

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Joshua J. Daymude (2021). Collaborating in Motion: Distributed and Stochastic Algorithms for Emergent Behavior in Programmable Matter. PhD Dissertation.

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Joshua J. Daymude, Andréa W. Richa, Jamison W. Weber (2021). Bio-Inspired Energy Distribution for Programmable Matter. ICDCN 2021.

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Joshua J. Daymude, Robert Gmyr, Kristian Hinnenthal, Irina Kostitsyna, Christian Scheideler, Andréa W. Richa (2020). Convex Hull Formation for Programmable Matter. ICDCN 2020.

Cite Project DOI arXiv

Sarah Cannon, Joshua J. Daymude, Cem Gökmen, Dana Randall, Andréa W. Richa (2019). A Local Stochastic Algorithm for Separation in Heterogeneous Self-Organizing Particle Systems. APPROX/RANDOM 2019.

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John Calvin Alumbaugh, Joshua J. Daymude, Erik D. Demaine, Matthew J. Patitz, Andréa W. Richa (2019). Simulation of Programmable Matter Systems Using Active Tile-Based Self-Assembly. DNA 2019.

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Joshua J. Daymude, Kristian Hinnenthal, Andréa W. Richa, Christian Scheideler (2019). Computing by Programmable Particles. Distributed Computing by Mobile Entities.

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Marta Andrés Arroyo, Sarah Cannon, Joshua J. Daymude, Dana Randall, Andréa W. Richa (2018). A Stochastic Approach to Shortcut Bridging in Programmable Matter. Natural Computing.

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William Savoie, Sarah Cannon, Joshua J. Daymude, Ross Warkentin, Shengkai Li, Andréa W. Richa, Dana Randall, Daniel I. Goldman (2018). Phototactic Supersmarticles. Artificial Life and Robotics.

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Sarah Cannon, Joshua J. Daymude, Cem Gökmen, Dana Randall, Andréa W. Richa (2018). Brief Announcement: A Local Stochastic Algorithm for Separation in Heterogeneous Self-Organizing Particle Systems. PODC 2018.

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Joshua J. Daymude, Robert Gmyr, Andréa W. Richa, Christian Scheideler, Thim Strothmann (2017). Improved Leader Election for Self-Organizing Programmable Matter. ALGOSENSORS 2017.

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Joshua J. Daymude, Zahra Derakhshandeh, Robert Gmyr, Alexandra Porter, Andréa W. Richa, Christian Scheideler, Thim Strothmann (2017). On the Runtime of Universal Coating for Programmable Matter. Natural Computing.

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Marta Andrés Arroyo, Sarah Cannon, Joshua J. Daymude, Dana Randall, Andréa W. Richa (2017). A Stochastic Approach to Shortcut Bridging in Programmable Matter. DNA 2017.

Cite Project DOI arXiv Journal Version

Sarah Cannon, Joshua J. Daymude, Dana Randall, Andréa W. Richa (2016). A Markov Chain Algorithm for Compression in Self-Organizing Particle Systems. PODC 2016.

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Joshua J. Daymude (2016). Compression in Self-Organizing Particle Systems. Undergraduate Honors Thesis.

PDF Cite Project Project ASU Digital Repository Defense