AUBERT KATO NATHANAEL YANN IVAN


Position

Associate Professor

Affiliation

Faculty of Core Research Natural Sciences Division

Headquarters for Research and Innovation, Research Advancement Division, Education and Research Department Center for integrates the humanities and sciences, AI and Data Science

Faculty

Information Sciences

Education Organization (Master's Program)

Computer Science

Education Organization (Doctoral Program)

Department of Computer Science

URL

写真a

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Research Keywords 【 display / non-display 】

  • DNA computing; Molecular programming; Micro-robots; Evolutionary optimization; Swarming behavior

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Research Pursuits 【 display / non-display 】

  • My current research pursuit is the implementation of controllers (i.e., computers) for molecular robots. This topic involves a large range of interests, ranging from the design and implementation of complex non-linear reaction systems to the exploration and optimization of reservoir computing systems characteristics. I am also applying machine learning techniques broadly to the analysis of biological data.

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Educational Pursuits 【 display / non-display 】

  • - Exercises in Programming (1st year; mandatory). This class aims to bring students to fluency in the C programming language through hands-on experience.
    - Software Engineering (3rd year; elective). Focuses on best practices in software development and on how to work efficiently as a team.
    - Exercises in Information Sciences Ⅳ (3rd year; elective). The aim of this class is to give students direct experience with working in a research lab. The supervision is shared among all professors of the department.
    - Advanced Topics on Unconventional Computing/Seminar on Unconventional Computing (Graduate). The aim of those classes is to introduce students to advanced topic related to unconventional computing, including formal definitions of computing systems and how to implement them in system-specific settings.

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Future Research Plans, Research Prospects, and Joint Research Potential 【 display / non-display 】

  • Future work will focus on a systematic exploration of the range of characteristics of reservoirs found so far (memory capacity, kernel rank, generalization rank, ...), on the integration of such computing system with molecular robots (both in silico and in vitro), and on the implementation of hybrid quality-diversity algorithm able to use a combination of real-world experimental data and simulations to suggest optimized system designs.

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Degree 【 display / non-display 】

  • PhD (Information Science and Technology Science), The University of Tokyo, 2014.03

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Campus Career 【 display / non-display 】

  • Campus Educational System Reform Division Promotion Center of Leading Graduate School, Project Assistant Professor, 2014.09 - 2016.01

  • Faculty of Core Research Natural Sciences Division, Assistant Professor, 2017.03 - 2021.03

  • Headquarters for Research and Innovation, Research Advancement Division, Education and Research Department Center for integrates the humanities and sciences, AI and Data Science Center for Interdisciplinary AI and Data Science, Member, 2019.04 -

  • Faculty of Core Research Natural Sciences Division, Lecturer, 2021.04 - 2025.03

  • Faculty of Core Research Natural Sciences Division, Associate Professor, 2025.04 -

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Research Field 【 display / non-display 】

  • Informatics / Informatics / Life, health and medical informatics

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