Aubert-Kato Nathanael

Affiliation and department：

Research field (2)： Biological, health, and medical informatics , Soft computing

Research keywords (4)： Unconventional computing , Artificial life , Evolutionary optimization algorithms , Molecular robotics

Research theme for competitive and other funds (7)：

2023 - 2025 Deep learning with evolutionary synaptic pruning
2021 - 2024 Deep learning with evolutionary synaptic pruning
2021 - 2024 Molecular swarm robotics: Verifying working ability of molecular robots and their implementation in social contexts
2021 - 2024 Integrating smart-shoes in a multi-sensing network of activity trackers for an accurate assessment of physical behaviors and daily energy expenditure.
2019 - 2024 Optimization of molecular robot swarms for the emergence of collective behaviors

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Papers (35)：

Derek E. Moulton, Nathanaël Aubert-Kato, Axel A. Almet, Atsuko Sato. A multiscale computational framework for the development of spines in molluscan shells. PLOS Computational Biology. 2024. 20. 3. e1011835-e1011835
Nathanael Aubert-Kato, Geoff Nitschke, Ibuki Kawamata, Akira Kakugo. Collective Cargo Transport and Sorting with Molecular Swarms. The 2023 Conference on Artificial Life. 2023
Emi Anzai, Dian Ren, Leo Cazenille, Nathanael Aubert-Kato, Julien Tripette, Yuji Ohta. Random forest algorithms to classify frailty and falling history in seniors using plantar pressure measurement insoles: a large-scale feasibility study. BMC geriatrics. 2022. 22. 1. 746-746
DA ROLD Federico, WITKOVSKI Olaf, AUBERT-KATO Nathanael. Synaptic pruning with MAP-elites. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2022. 639-642
Adrien Fauste-Gay, Nicolas Lobato-Dauzier, Alexandre Baccouche, Yannick Rondelez, Soo Hyeon Kim, Teruo Fujii, Nathanael Aubert-Kato, Anthony J. Genot. Toggling Between Two Limit Cycles in a Molecular Ecosystem. New Generation Computing. 2022. 40. 2. 703-721

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Books (1)：

Lectures and oral presentations (11)：

Exploring Self-Assembling Behaviors in a Swarm of Bio- micro-robots using Surrogate-Assisted MAP-Elites
(2020)
Automated exploration of CRN generating DNA structures
(2020)
Automated exploration of DNA-structures-building CRNs
(DNA 26 2020)
Exploring the BipedalWalker benchmark with MAP-Elites and curiosity-driven A3C
(GECCO 2020 2020)
Evolutionary Optimization of Self-assembly in a Swarm of Bio-micro-robots
(First Annual Conference on Molecular Robotics 2018)

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Work history (1)：

2019/04 - 現在 Ochanomizu University Headquarters for Research and Innovation, Research Advancement Division, Education and Research Department Center for Interdisciplinary AI and Data Science Center for Interdisciplinary AI and Data Science Member

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