Dagstuhl-Seminar 23091
Algorithmic Foundations of Programmable Matter
( 26. Feb – 03. Mar, 2023 )
(zum Vergrößern in der Bildmitte klicken)
Permalink
Bitte benutzen Sie folgende Kurz-Url zum Verlinken dieser Seite:
https://www.dagstuhl.de/23091
Organisatoren
- Aaron Becker (TU Braunschweig, DE)
- Sándor Fekete (TU Braunschweig, DE)
- Irina Kostitsyna (TU Eindhoven, NL)
- Matthew J. Patitz (University of Arkansas - Fayetteville, US)
- Damien Woods (Maynooth University, IE)
Kontakt
- Michael Gerke (für wissenschaftliche Fragen)
- Simone Schilke (für administrative Fragen)
Gemeinsame Dokumente
- Dagstuhl Materials Page (Use personal credentials as created in DOOR to log in)
Programm
“Algorithmic Foundations of Programmable Matter” is an area that designs models and algorithms for materials that can change their physical properties in a programmable fashion or based on external stimuli. Many research areas have already been brought together, with connections to distributed computing, computational geometry, self-assembly, and swarm robotics, but the number of problems that have been identified so far is limited.
In this Dagstuhl Seminar, we will significantly broaden the range of problems by seeking inspiration from researchers in areas where programmable matter promises to have a major impact in the future: engineering, physics and biological systems. Each of these areas also has its specific characteristics and challenges, making them particularly interesting for this seminar: physics with its very small components, space technologies and engineering with their extremely large structures, and biology with its extremely complex structures. As a second objective, we will intensify interactions between communities towards concrete outcomes, which was successfully initiated during the previous Dagstuhl Seminar "Algorithmic Foundations of Programmable Matter" (18331).
Creative Commons BY 4.0
Aaron Becker, Sándor Fekete, Irina Kostitsyna, Matthew J. Patitz, and Damien Woods
- Amira Abdel-Rahman (MIT - Cambridge, US) [dblp]
- Yotam Ashkenazi (Ben Gurion University - Beer Sheva, IL)
- Aaron Becker (TU Braunschweig, DE) [dblp]
- Julien Bourgeois (FEMTO-ST Institute - Montbéliard, FR) [dblp]
- Ioannis Chatzigiannakis (Sapienza University of Rome, IT) [dblp]
- Shantanu Das (Aix-Marseille University, FR) [dblp]
- David Doty (University of California - Davis, US) [dblp]
- Jo Ellis-Monaghan (University of Amsterdam, NL) [dblp]
- Yuval Emek (Technion - Haifa, IL) [dblp]
- Constantine Evans (Maynooth University, IE)
- Sándor Fekete (TU Braunschweig, DE) [dblp]
- Timothy Gomez (MIT - Cambridge, US)
- Daniel Hader (University of Arkansas - Fayetteville, US)
- Dan Halperin (Tel Aviv University, IL) [dblp]
- Nataša Jonoska (University of South Florida - Tampa, US) [dblp]
- Tanja Katharina Kaiser (Universität Lübeck, DE)
- Maria Kokkou (Aix-Marseille University, FR)
- Irina Kostitsyna (TU Eindhoven, NL) [dblp]
- Dominik Krupke (TU Braunschweig, DE) [dblp]
- Julien Leclerc (University of Houston, US)
- Jakub Lengiewicz (University of Luxembourg - Esch-sur-Alzette, LU)
- David Liedtke (Universität Paderborn, DE)
- Friedhelm Meyer auf der Heide (Universität Paderborn, DE) [dblp]
- Othon Michail (University of Liverpool, GB) [dblp]
- Irene Parada (UPC Barcelona Tech, ES)
- Matthew J. Patitz (University of Arkansas - Fayetteville, US) [dblp]
- Tom Peters (TU Eindhoven, NL)
- Benoît Piranda (FEMTO-ST Institute - Montbéliard, FR) [dblp]
- Andréa Richa (Arizona State University - Tempe, US) [dblp]
- Kay Römer (TU Graz, AT) [dblp]
- Nicolas Schabanel (ENS - Lyon, FR)
- Christian Scheideler (Universität Paderborn, DE) [dblp]
- Arne Schmidt (TU Braunschweig, DE) [dblp]
- Ahmed Shalaby (Maynooth University, IE)
- Cynthia Sung (University of Pennsylvania - Philadelphia, US)
- Ryuhei Uehara (JAIST - Ishikawa, JP) [dblp]
- Giovanni Viglietta (JAIST - Ishikawa, JP)
- Damien Woods (Maynooth University, IE) [dblp]
Verwandte Seminare
Klassifikation
- Computational Geometry
- Data Structures and Algorithms
- Robotics
Schlagworte
- Distributed algorithms
- computational geometry
- robotics
- DNA computing
- programmable matter
