Updated on 2026/04/20

写真a

 
Mori Naoki
 
Organization
Graduate School of Informatics Department of Core Informatics Professor
School of Engineering Department of Information Science
Title
Professor
Affiliation
Institute of Informatics

Position

  • Graduate School of Informatics Department of Core Informatics 

    Professor  2022.04 - Now

  • School of Engineering Department of Information Science 

    Professor  2022.04 - Now

Degree

  • 博士（工学） （ Others ）

Research Areas

  • Informatics / Soft computing  / Large Language Model

  • Informatics / Soft computing  / Evolutionary Computation

  • Informatics / Kansei informatics  / Machine Learning

  • Informatics / Kansei informatics  / Artificial Intelligence

  • Informatics / Kansei informatics  / Evolutionary Computation

Research Interests

  • Machine

  • Natural Language Processing

  • Artificial Intteligence

  • Evolustionary Computation

  • Generative AI

Research subject summary

  • 自然言語処理

  • 生成AI

  • 機械学習

  • 人工知能システム

  • 進化型計算

Research Career

  • 生成AI の進化的獲得手法の研究

    生成AI、大規模言語モデル、AutoML、NAS 

  • 人工知能による創作物理解

    2024.04 - Now 

Professional Memberships

  • 人工知能学会

    2017.04 - Now   Domestic

  • 電気学会

    2014.01 - Now   Domestic

  • 計測自動制御学会

    2001.04 - Now   Domestic

  • 日本シミュレーション＆ゲーミング学会

    2001.04 - Now   Domestic

  • システム制御情報学会

    1997.04 - Now   Domestic

Committee Memberships (off-campus)

  • システム制御情報学会   事業委員  

    2025.04 - Now 

    　 More details

    委員長

Awards

  • Competitive Paper Award

    H. Yamato, M. Okada, N. Mori

    2023.12   15th IIAI-AAI-Winter IEEE   Trainable Weighted Pooling Method for Text Classification with BERT,

  • Honorable Mention Award

    N. Aoki, N. Mori, M. Okada

    2023.12   15th IIAI-AAI-Winter IEEE   Analysis of LLM-Based Narrative Generation using the Agent-based Simulation

  • 電気学会2023年電子・情報・システム部門大会奨励賞

    鷲野拓海，森 直樹

    2023.09   電気学会   適応度空間を推定するSurrogate Modelを導入したTDGA AutoAugment の提案

Papers

  • Evolutionary Acquisition of Prompts for LLMs by Genetic Algorithms Reviewed

    Hiroto Tanaka, Naoki Mori

    Transactions of the Institute of Systems, Control and Information Engineers   38 ( 2 )   19 - 25   2025.02

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.5687/iscie.38.19

  • Development of an Automated Animation Image Coloring System Based on Inclusion Matching Reviewed

    Tomoya Murata, Naoki Mori

    Proc. of 15th IIAI International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter 2025)   143 - 148   2025

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/IIAI-AAI-Winter69777.2025.00035

  • Proposal for Representation and Use of Knowledge Graphs for Disaster Data in Regional Materials

    HORIMOTO Ryusei, OKADA Makoto, MORI Naoki

    Joho Chishiki Gakkaishi   34 ( 4 )   357 - 360   2024.11（ ISSN:09171436 ） （ eISSN:18817661 ）

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    <p>　In recent years, artificial intelligence technology has rapidly developed, with knowledge graphs, which represent human knowledge in a graph structure, gaining significant attention. These graphs are utilized as foundational technologies in various fields and tools. Knowledge graphs effectively integrate information from diverse data sources and clarify the relationships between them. This study proposes a method for managing disaster data in the preservation and inheritance of regional materials using knowledge graphs. By representing various past disaster events and their interrelations through a unified structure, knowledge graphs are expected to facilitate the integration of multiple sources of information, thereby enhancing data reuse and knowledge transfer. Furthermore, by visualizing the interrelationships between individual disaster data, this approach is anticipated to contribute to future disaster risk assessments and improve disaster response strategies.</p>

    DOI： 10.2964/jsik_2024_034

    CiNii Research

  • Emotional Analysis of Persona-designated Character with LLM

    MURAKAMI Kazuma, MORI Naoki, OKADA Makoto

    Proceedings of the Annual Conference of JSAI   JSAI2024 ( 0 )   4K1GS903 - 4K1GS903   2024（ eISSN:27587347 ）

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    <p>Research on Large Language Models (LLMs) like ChatGPT has gained momentum in recent years. These advanced LLMs can produce high-quality outputs, leading to significant achievements in more complex tasks. However, ChatGPT, which currently leads in performance, has yet to disclose internal specifications, making the construction of an LLM independently a costly endeavor. As a result, there is a growing trend in research focusing on the behavior of these models rather than improving the models themselves. This study forcuses on dialogues with characters whose interactions have been substantially enhanced by LLMs, aiming to achieve more relevant and interactive conversations with the real world. In this process, a character persona was assigned, and the decision whether to speak was based on assumed visual information and the character's internal state. Moreover, LLMs were utilized to numerically assess the character's emotions based on these contextual factors. Using the emotion vectors evaluated by the LLM and the author's assessments, the character's propensity to speak was framed as a binary classification problem, inputting the emotion vectors. Numerical results indicated that the emotional assessments successfully reflected the designated personas, and the determination to speak or not showed significant results compared to baseline models.</p>

    DOI： 10.11517/pjsai.jsai2024.0_4k1gs903

    CiNii Research

  • Investigating Knowledge Graph Completion Techniques Using Masked Language Modeling

    HORIMOTO Ryusei, OKADA Makoto, MORI Naoki

    Proceedings of the Annual Conference of JSAI   JSAI2024 ( 0 )   4F1GS304 - 4F1GS304   2024（ eISSN:27587347 ）

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    <p>In recent years, with the rapid development of artificial intelligence technology, Knowledge Graph, which systematically connects various kinds of human knowledge and expresses their relationships in a graph structure, has attracted much attention and is used as a fundamental technology for artificial intelligence in various fields. In this context, there is a need for an automatic complementation method of Knowledge Graphs to meet the demand for adding new knowledge to existing Knowledge Graphs. The problem with conventional Knowledge Graph completion methods such as TransE and ComplEx is that they focus on knowledge relationships and do not effectively capture the semantic information of the knowledge itself. In this study, we proposed an automatic Knowledge Graph completion method using Masked Language Modeling by BERT, which is a deep language model, to effectively capture the semantic information of knowledge itself, and verified its effectiveness through evaluation experiments.</p>

    DOI： 10.11517/pjsai.jsai2024.0_4f1gs304

    CiNii Research

  • Learning Methods for LLMs on Game Data Using RLHF

    MURATA Tomoya, MORI Naoki, OKADA Makoto

    Proceedings of the Annual Conference of JSAI   JSAI2024 ( 0 )   4A1GS602 - 4A1GS602   2024（ eISSN:27587347 ）

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    <p>Recent advancements in Large Language Models (LLMs) within the artificial intelligence domain have shown exceptional performance across various natural language processing tasks. Amidst these developments, aligning the values and objectives of LLMs with human perspectives has become increasingly important. Reinforcement Learning from Human Feedback (RLHF) has gained notable interest as a method for such alignment adjustments. This study explored a learning approach for LLMs using RLHF, employing scenarios from the romance simulation game 'Tokimeki Memorial 3' as the game scenario data. Specifically, the research involved an experiment where sentences were generated following five Japanese characters, tailored to align with the personalities of the game characters. While subjective, this evaluation demonstrated the capability of producing sentences that appropriately matched the distinct characters in the game.</p>

    DOI： 10.11517/pjsai.jsai2024.0_4a1gs602

    CiNii Research

  • Proposing an Extension Method for tdgaCNN Based on the Introduction of Skip Connections

    TAIRA Tomotaka, MORI Naoki, OKADA Makoto

    Proceedings of the Annual Conference of JSAI   JSAI2024 ( 0 )   2D4GS203 - 2D4GS203   2024（ eISSN:27587347 ）

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    <p>Machine learning-based image recognition has gained significant attention, mainly using Convolutional Neural Networks (CNNs). As the complexity of problems increases, so does the complexity of CNN architectures. This makes finding the optimal CNN structure a challenging combinatorial optimization problem. Manual settings are time-consuming and labor-intensive. To address this, the field of AutoML has introduced gaCNN, which uses a genetic algorithm for CNN structure search, and tdgaCNN, which applies thermodynamic selection rules. These methods have shown superiority over traditional ones. In this study, we propose a tdgaCNN extension that incorporates skip connections to enhance performance. Its effectiveness is demonstrated on an image benchmark dataset.</p>

    DOI： 10.11517/pjsai.jsai2024.0_2d4gs203

    CiNii Research

  • A Solution Approach to Energy Plant Operation Planning Problems Using Transformers

    SUZUKI Tomohiro, OZEKI Takumi, MORI Naoki, HIRANO Hideaki, KITAMURA Shoichi, MORI Kazuyuki

    Proceedings of the Annual Conference of JSAI   JSAI2024 ( 0 )   2I5GS1005 - 2I5GS1005   2024（ eISSN:27587347 ）

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    <p>Energy plants account for most energy consumption in factories and other facilities. Benchmark problems for energy plant operation planning have been proposed for energy conservation. However, to apply the benchmark problem to real energy plants, it is necessary to have a general-purpose and fast operational planning method that can not only search for solutions to the benchmark problem but also deal with different situations. In this study, we propose a method for regression prediction of solutions to similar problems using a deep learning model Transformer with Positional Embedding, representing time series information. In numerical experiments, we compared the solutions generated by the Transformer and the comparison method in terms of energy purchase cost and constraint violation and confirmed the effectiveness of the proposed method.</p>

    DOI： 10.11517/pjsai.jsai2024.0_2i5gs1005

    CiNii Research

  • Co-living Simulation System with AI Characters Reflecting User Preferences

    MURAKAMI Kazuma, MORI Naoki

    Proceedings of Summer Conference, Digital Game Research Association JAPAN   2024 ( 0 )   19 - 24   2024（ eISSN:27584801 ）

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    Recent advancements in AI, driven by Large Language Models (LLMs) and diffusion -based generative models have significantly enhanced the field. These models produce creative outputs comparable to human creations, expanding possibilities for automated creativity. While generative AI is used in game development, research on integrating automatic dialogue and environment generation as core game elements is limited. This study constructs a game system with dynamic scene transitions in response to user input. Specifically, we develop an adventure game that defines scene transitions and generates natural sequences in user-character dialogues for personalized dialog to create comfortable user experience, offering a co-living experience with AI agents reflecting user preferences.

    DOI： 10.57518/digrajprocsummer.2024.0_19

    CiNii Research

  • 日本語アスペクトベース感情分析における深層言語モデルによるマルチラベル分類手法の拡張と検証

    味岡 陽紀, 岡田 真, 森 直樹

    人工知能学会全国大会論文集   JSAI2024 ( 0 )   2G6GS602 - 2G6GS602   2024

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  • Adaptive Retraining Head Selection Method in Vision Transformer Reviewed

    Kaoru Ito, Naoki Mori

    Proc. of 15th IIAI International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter 2023)   354 - 359   2023.12

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/IIAI-AAI-Winter61682.2023.00071

  • Genetic Algorithm for Prompt Engineering with Novel Genetic Operators Reviewed

    Hiroto Tanaka, Naoki Mori, Makoto Okada

    Proc. of 15th IIAI International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter 2023)   209 - 214   2023.12

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/IIAI-AAI-Winter61682.2023.00047

  • Trainable Weighted Pooling Method for Text Classification with BERT Reviewed

    Hidenori Yamato, Makoto Okada, Naoki Mori

    Proc. of 15th IIAI International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter 2023)   266 - 271   2023.12

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/IIAI-AAI-Winter61682.2023.00056

  • A Novel AutoAugment Utilizing Surrogate Model-Based Thermodynamical Genetic Algorithm Reviewed

    Takumi Washino, Naoki Mori

    Proc. of 15th IIAI International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter 2023)   272 - 277   2023.12

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/IIAI-AAI-Winter61682.2023.00057

  • Analysis of LLM-Based Narrative Generation Using the Agent-Based Simulation Reviewed

    Naoto Aoki, Naoki Mori, Makoto Okada

    Proc. of 15th IIAI International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter 2023)   284 - 289   2023.12

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/IIAI-AAI-Winter61682.2023.00059

  • Omuokdlb at the NTCIR-17 QA Lab-Poliinfo-4 Task Reviewed

    Hidenori Yamato, Takaaki Fukunaga, Makoto Okada, Naoki Mori

    Proc. of the 17th NTCIR Conference on Evaluation of Information Access Technologies   2023.12

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.20736/0002001302

  • Constellation identification method using point set data Reviewed

    Sayaka Nadamoto, Naoki Mori, Makoto Okada

    Artificial Life and Robotics   28 ( 2 )   361 - 366   2023.05

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.1007/s10015-023-00860-4

  • Analysis of Investment Strategy based on Learning to Rank with Transformer

    Shosuke Sakagawa, Naoki Mori

    2023 ( FIN-030 )   58 - 65   2023.03

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  • A Method to Construct a Masked Knowledge Graph Model using Transformer for Knowledge Graph Reasoning Reviewed

    Ryoya Kaneda, Makoto Okada, Naoki Mori

    Proc. of 17th IEEE International Conference on Semantic Computing (ICSC 2023)   298 - 299   2023.02

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICSC56153.2023.00061

  • Trading Card Game Environments based on deep reinforcement learning

    Shouken Nishimura, Naoki Mori, Makoto Okada

    Proceedings of the Annual Conference of JSAI   JSAI2023 ( 0 )   2M5GS1002 - 2M5GS1002   2023

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  • 深層学習を用いたマルチモーダルデータに基づくトレーディングカードの価格変動予測

    藪内 一貴, 森 直樹, 岡田 真

    人工知能学会全国大会論文集   JSAI2023 ( 0 )   2K6GS203 - 2K6GS203   2023

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  • 熱力学的遺伝アルゴリズムによる CNN アーキテクチャの進化的獲得

    小泉 尚輝, 岡本 竜馬, 森 直樹, 岡田 真

    人工知能学会全国大会論文集   JSAI2023 ( 0 )   4I2OS1a02 - 4I2OS1a02   2023

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  • 深層強化学習によるエネルギープラント運用計画の最適化

    岡田 篤人, 森 直樹

    人工知能学会全国大会論文集   JSAI2023 ( 0 )   3Xin478 - 3Xin478   2023

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  • 観点要約を目的とした深層言語モデルによる評価対象語と評価語の抽出手法の検討

    田中 颯人, 岡田 真, 森 直樹

    第39回ファジィシステムシンポジウム   439 - 444   2023

  • 文章の類似度に基づいた日本語小論文校正手法の検証

    池田 祐介, 岡田 真, 森 直樹

    第39回ファジィシステムシンポジウム   923 - 927   2023

  • Evolutionary Acquisition of CNN Architecture by Thermodynamical Genetic Algorithm Reviewed

    Ryoma Okamoto, Naoki Mori, Makoto Okada

    Proc. of 13th IIAI International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter 2022)   108 - 113   2022.12

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    Publishing type：Research paper (international conference proceedings)  

  • Automatic Astrophotography Editing Method Using Deep Learning Reviewed

    Sayaka Nadamoto, Naoki Mori, Makoto Okada

    Proc. of 13th IIAI International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter 2022)   89 - 94   2022.12

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/IIAI-AAI-Winter58034.2022.00028

  • Neural Ranking Strategy for Portfolio Construction Using Transformers Reviewed

    Shosuke Sakagawa, Naoki Mori

    Proc. of 13th IIAI International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter 2022)   95 - 100   2022.12

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/IIAI-AAI-Winter58034.2022.00029

  • Multimodal Identification of Cartoons with Vision Transformer and BERT

    Naoto Aoki, Naoki Mori, Makoto Okada

    Proceedings of the Annual Conference of JSAI   JSAI2022 ( 0 )   1H4OS17a03 - 1H4OS17a03   2022

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  • 敵対的生成ネットワークを用いた星空画像生成手法の提案

    灘本 紗也佳, 森 直樹, 岡田 真

    人工知能学会全国大会論文集   JSAI2022 ( 0 )   1H4OS17a05 - 1H4OS17a05   2022

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  • 漫画における皮肉データセットの構築とその有効性の検証

    多田 瑞葵, 岡田 真, 森 直樹

    人工知能学会全国大会論文集   JSAI2022 ( 0 )   1O4GS705 - 1O4GS705   2022

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  • 漫画における指示詞の照応関係データセットの構築と機械学習手法を用いた検証

    大和 秀徳, 岡田 真, 森 直樹

    人工知能学会全国大会論文集   JSAI2022 ( 0 )   2022

  • ストーリー解析のための文の分散表現に基づく小説の自動セグメンテーション手法の提案 Reviewed

    福田清人, 森直樹, 松本啓之亮, 岡田真

    芸術科学会論文誌 雑誌   2020.01

  • Evolutionary Deep Learning based on Deep Convolutional Neural Network for Anime Storyboard Recognition Reviewed

    S. Fujino, N. Mori, T. Hatanaka, K. Matsumoto

    Neurocomputing 雑誌   338 ( 4 )   393 - 398   2019.04

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    Kind of work：Joint Work  

  • Intelligent Software Development Method Based on Model Driven Architecture Reviewed

    K. Matsumoto, K. Nakoshi, N. Mori

    International Journal on Advances in Software 雑誌   11 ( 6 )   88 - 96   2018.06

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    Kind of work：Joint Work  

  • 多層個体群を有する遺伝的プログラミングの提案およびBoolean問題への適用 Reviewed

    長谷川 拓, 森 直樹, 松本 啓之亮

    進化計算学会論文誌 雑誌   8 ( 2 )   52 - 60   2017.02

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    Kind of work：Joint Work  

  • Learning Method by Sharing Activity Histories in Multiagent Environment Reviewed

    K. Matsumoto, T. Gohara, N. Mori

    International Journal on Advances in Intelligent Systems 雑誌   10 ( 2 )   71 - 80   2017.02

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    Kind of work：Joint Work  

  • 劣個体分布に基づく DII analysis の提案と応用 Reviewed

    長谷川 拓, 井上 和之, 荒木 悠太, 森 直樹, 松本 啓之亮

    進化計算学会論文誌 雑誌   7 ( 2 )   13 - 23   2016.02

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    Kind of work：Joint Work  

  • 機械学習アルゴリズムを導入した適応度景観推定型進化型計算の提案 Reviewed

    長谷川 拓, 森 直樹, 松本 啓之亮

    システム制御情報学会論文誌 雑誌   28 ( 5 )   189 - 197   2015.05

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    Kind of work：Joint Work  

  • Round-Trip Engineering Approach to Keep Activity Diagrams Synchronized with Source Code Reviewed

    K. Matsumoto, R. Uenishi, N. Mori

    International Journal on Advances in Intelligent Systems 雑誌   8 ( 4 )   448 - 457   2015.04

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    Kind of work：Joint Work  

  • Casook : Creative Animating Sketchbook Reviewed

    M. Ueno, K. Fukuda, A. Yasui, N. Mori, K. Matsumoto

    Advances in Intelligent Systems and Computing 雑誌   373 ( 1 )   175 - 182   2015.01

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    Kind of work：Joint Work  

  • 追跡問題におけるゴールデンクロスを利用した切り換えQ学習 Reviewed

    伊木 美太輔, 松本 啓之亮, 森 直樹

    電気学会論文誌Ｃ 雑誌   134 ( 9 )   1318 - 1324   2014.09

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    Kind of work：Joint Work  

  • Picture Models for 2-Scene Comics Creating System Reviewed

    M. Ueno, N. Mori, K. Matsumoto

    Advances in Distributed Computing and Artificial Intelligence Journal 雑誌   3 ( 2 )   53 - 64   2014.02

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    Kind of work：Joint Work  

  • モデル駆動ソフトウェア開発へのコンポーネントベース技術の適用 Reviewed

    水野 友貴, 松本 啓之亮, 森 直樹

    電気学会論文誌C 雑誌   133 ( 12 )   2275 - 2281   2013.12

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    Kind of work：Joint Work  

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Books and Other Publications

  • Computational and Cognitive Approaches to Narratology

    M. Ueno, K. Fukuda, N. Mori（ Role： Joint author）

    IGI Global  2016.07 

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    Responsible for pages：chapter 6  

  • Realistic Simulation of Financial Markets

    H. Kita, N. Mori et al.（ Role： Joint author）

    Springer  2016.07 

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    Responsible for pages：chapter 4  

  • 人工市場で学ぶマーケットメカニズム ｜U-Mart工学編

    喜多　一, 森　直樹, 小野　功, 佐藤　浩, 小山 友介, 秋元 圭人（ Role： Joint author）

    共立出版  2009.05 

MISC

  • 生成 AI の発展と確率的最適化の進化 Reviewed

    森直樹

    電気学会論文誌 C (電子・情報・システム部門誌)   145 ( 2 )   124 - 127   2025.02

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    Authorship：Lead author   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

    DOI： 10.1541/ieejeiss.145.124

Presentations

  • Proposal of a Proofreading System for Creators based on Model Merging of LLMs Domestic conference

    The 39th Annual Conference of the Japanese Society for Artificial Intelligence  2025.05  The Japanese Society for Artificial Intelligence

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    Presentation type：Oral presentation (general)  

    Venue：Osaka International Convention Center  

    DOI： 10.11517/pjsai.JSAI2025.0_4G3GS604

  • 日本語アスペクトベース感情分析における Transformer 言語モデルを用いた多ラベル分類手法の性能向上手法の検討 Domestic conference

    西元大世,森直樹,岡田真

    2025年度人工知能学会全国大会（第39回）  2025.05  人工知能学会

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    Presentation type：Oral presentation (general)  

    Venue：大阪国際会議場  

    DOI： 10.11517/pjsai.JSAI2025.0_3G4GS603

  • LLM を用いた野球選手のプレースタイルに基づく応援歌歌詞自動生成 Domestic conference

    片山達翔,岡田真,森直樹

    2025年度人工知能学会全国大会（第39回）  2025.05  人工知能学会

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    Presentation type：Oral presentation (general)  

    Venue：大阪国際会議場  

    DOI： 10.11517/pjsai.JSAI2025.0_2A1GS1004

  • Effects of Persona in LLM-based Open-ended Dialogue Adventure Game Play Domestic conference

    The 39th Annual Conference of the Japanese Society for Artificial Intelligence  2025.05  The Japanese Society for Artificial Intelligence

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    Presentation type：Oral presentation (general)  

    Venue：Osaka International Convention Center  

    DOI： 10.11517/pjsai.JSAI2025.0_2D1GS904

  • 生成 AI を用いた絵本生成システムの提案 Domestic conference

    村田知弥,森直樹

    2025年度人工知能学会全国大会（第39回）  2025.05  人工知能学会

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    Presentation type：Oral presentation (general)  

    Venue：大阪国際会議場  

    DOI： 10.11517/pjsai.JSAI2025.0_2F5OS39b03

  • 状態遷移に基づくLLMを用いたゲームシナリオの生成 Domestic conference

    鈴木 智大, 森 直樹

    2025年度人工知能学会全国大会（第39回）  2025.05  人工知能学会

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    Presentation type：Oral presentation (general)  

    Venue：大阪国際会議場  

    DOI： 10.11517/pjsai.JSAI2025.0_2A1GS1003

  • Stable Diffusion を用いたロリータブランドにおけるファッションデザイン支援 Domestic conference

    小泉 尚輝, 森 直樹

    2025年度人工知能学会全国大会（第39回）  2025.05  人工知能学会

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    Presentation type：Oral presentation (general)  

    Venue：大阪国際会議場  

    DOI： 10.11517/pjsai.JSAI2025.0_2F4OS39a02

  • 論文の引用関係および著者の共著関係に基づくナレッジグラフ構築手法の提案 Domestic conference

    棚橋良将,森直樹

    第69回システム制御情報学会研究発表講演会（SCI25）  2025.05  システム制御情報学会

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    Presentation type：Oral presentation (general)  

  • 大規模言語モデルを用いた数値実験環境の自動構築 Domestic conference

    前田武志,森直樹

    第69回システム制御情報学会研究発表講演会(SCI25)  2025.05  システム制御情報学会

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    Presentation type：Oral presentation (general)  

  • クワガタムシ科 transformer 遺伝子から見る性決定制御機構の多様化 Domestic conference

    黒田 由佑, 村上 一真, 森 直樹, 後藤 寛貴

    第96回日本動物学会大会  2025  日本動物学会

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    Presentation type：Oral presentation (general)  

  • ヒラタクワガタ亜属群における終齢期間、体サイズ、及び外部形態の比較 Domestic conference

    黒田 由佑, 村上 一真, 森 直樹, 後藤 寛貴

    第85回日本昆虫学会大会  2025  日本昆虫学会

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    Presentation type：Oral presentation (general)  

  • ユーザの嗜好を反映した人工知能キャラクターとの共同生活シミュレーションシステム Domestic conference

    村上 一真, 森 直樹

    日本デジタルゲーム学会2024年夏季大会  2024.08  日本デジタルゲーム学会

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    Presentation type：Oral presentation (general)  

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Collaborative research (seeds) keywords

  • 生成AIに関する技術

  • 画像処理に関する技術

  • 機械学習に関する技術

  • 感性工学に関する研究

  • 自然言語処理システム

  • 株の自動取引に関する研究

  • 人工知能に関する技術

  • 最適化に関する問題

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Outline of collaborative research (seeds)

  • 生成AIに関する研究

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    Request for collaborative research：The private sector, such as other institutions

    Type of research exchange：Technical consultation,　Contract research,　Joint research,　Lecture

    企業案件への生成AIの適用に関する全般

Grant-in-Aid for Scientific Research

  • Understanding of creations by evolutionary AutoML

    Grant-in-Aid for Scientific Research(C)  2027

  • Understanding of creations by evolutionary AutoML

    Grant-in-Aid for Scientific Research(C)  2026

  • Understanding of creations by evolutionary AutoML

    Grant-in-Aid for Scientific Research(C)  2025

  • Understanding of creations by evolutionary AutoML

    Grant-in-Aid for Scientific Research(C)  2024

Charge of on-campus class subject

  • 基幹情報学特別研究1

    2025   Intensive lecture   Graduate school

  • 基幹情報学特別研究2

    2025   Intensive lecture   Graduate school

  • 基幹情報学セミナー

    2025   Weekly class   Graduate school

  • 社会情報学

    2025   Weekly class   Graduate school

  • 基幹情報学特別演習2

    2025   Weekly class   Graduate school

  • 基幹情報学特別研究4

    2025   Intensive lecture   Graduate school

  • 基幹情報学特別研究6

    2025   Intensive lecture   Graduate school

  • 基幹情報学特別研究8

    2025   Intensive lecture   Graduate school

  • 基幹情報学特別演習I-2

    2025   Intensive lecture   Graduate school

  • 情報工学実験2

    2025   Weekly class   Undergraduate

  • 情報工学技術英語

    2025   Intensive lecture   Undergraduate

  • 情報工学卒業研究A

    2025   Intensive lecture   Undergraduate

  • 情報工学卒業研究B

    2025   Intensive lecture   Undergraduate

  • 情報システム概論

    2025   Weekly class   Undergraduate

  • 基幹情報学特別研究3

    2025   Intensive lecture   Graduate school

  • 基幹情報学特別研究5

    2025   Intensive lecture   Graduate school

  • 基幹情報学特別研究7

    2025   Intensive lecture   Graduate school

  • 基幹情報学特別研究8

    2025   Intensive lecture   Graduate school

  • 基幹情報学特別演習I-1

    2025   Intensive lecture   Graduate school

  • 基幹情報学特別研究1

    2025   Intensive lecture   Graduate school

  • 基幹情報学特別研究2

    2025   Intensive lecture   Graduate school

  • 言語情報学

    2025   Weekly class   Graduate school

  • 基幹情報学特別演習1

    2025   Weekly class   Graduate school

  • 情報工学基礎演習1

    2025   Weekly class   Undergraduate

  • 情報工学技術英語

    2025   Weekly class   Undergraduate

  • 情報工学卒業研究A

    2025   Intensive lecture   Undergraduate

  • ソフトウェア工学

    2025   Weekly class   Undergraduate

  • 基幹情報学特別研究4

    2024   Intensive lecture   Graduate school

  • 基幹情報学特別研究6

    2024   Intensive lecture   Graduate school

  • 基幹情報学特別研究8

    2024   Intensive lecture   Graduate school

  • 基幹情報学特別演習I-2

    2024   Intensive lecture   Graduate school

  • 基幹情報学特別研究1

    2024   Intensive lecture   Graduate school

  • 基幹情報学特別研究2

    2024   Intensive lecture   Graduate school

  • 基幹情報学セミナー

    2024   Weekly class   Graduate school

  • 社会情報学

    2024   Weekly class   Graduate school

  • 基幹情報学特別演習2

    2024   Weekly class   Graduate school

  • 情報工学実験2

    2024   Weekly class   Undergraduate

  • 基幹情報学特別演習I-1

    2024   Intensive lecture   Graduate school

  • 基幹情報学特別研究3

    2024   Intensive lecture   Graduate school

  • 基幹情報学特別研究5

    2024   Intensive lecture   Graduate school

  • 基幹情報学特別研究7

    2024   Intensive lecture   Graduate school

  • 基幹情報学特別研究8

    2024   Intensive lecture   Graduate school

  • 情報工学基礎演習1

    2024   Weekly class   Undergraduate

  • ソフトウェア工学

    2024   Weekly class   Undergraduate

  • 基幹情報学特別研究1

    2024   Intensive lecture   Graduate school

  • 基幹情報学特別研究2

    2024   Intensive lecture   Graduate school

  • 言語情報学

    2024   Weekly class   Graduate school

  • 基幹情報学特別演習1

    2024   Weekly class   Graduate school

  • Undergraduate Project in Computer Science

    2021    

  • Technical English for Computer Science

    2021    

  • Special Project in Electrical Engineering and Information Science IV

    2021    

  • Special Project in Electrical Engineering and Information Science III

    2021    

  • Advanced Seminar in Electrical Engineering and Information Science IV

    2021    

  • Advanced Seminar in Electrical Engineering and Information Science III

    2021    

  • Advanced Internship in Computer Science and Intelligent Systems

    2021   Practical Training  

  • Special Project in Electrical Engineering and Information Science II

    2021    

  • Special Project in Electrical Engineering and Information Science I

    2021    

  • Advanced Seminar in Electrical Engineering and Information Science II

    2021    

  • Advanced Seminar in Electrical Engineering and Information Science I

    2021    

  • Undergraduate Project in Computer Science

    2021    

  • Technical English for Computer Science

    2021    

  • College of Engineering Internship

    2021   Practical Training  

  • Fundamentals in Electrical and Electronic Engineering I

    2021    

  • Fundamentals in Electrical and Electronic Engineering I

    2021    

  • Advanced Machine Learning

    2021    

  • Advanced Evolutionary Computation

    2021    

  • Advanced Software Systems

    2021    

  • Software Engineering

    2021    

  • Advanced Intelligent Information Systems I

    2021    

  • Laboratory in Computer Science II

    2021   Practical Training  

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Number of papers published by graduate students

  • 2025

    Number of undergraduate student / college student presentations：0  Number of graduate students presentations：11

Number of instructed thesis, researches

  • 2025

    Number of instructed the graduation thesis：3  Number of graduation thesis reviews：3

    [Number of instructed the Master's Program] (previous term)：13  [Number of instructed the Master's Program] (letter term)：0

    [Number of master's thesis reviews] (chief)：4  [Number of master's thesis reviews] (vice-chief)：6

    [Number of doctoral thesis reviews] (chief)：0  [Number of doctoral thesis reviews] (vice-chief)：0

  • 2024

    Number of instructed the graduation thesis：6  Number of graduation thesis reviews：6

    [Number of instructed the Master's Program] (previous term)：13  [Number of instructed the Master's Program] (letter term)：0

    [Number of master's thesis reviews] (chief)：6  [Number of master's thesis reviews] (vice-chief)：4

    [Number of doctoral thesis reviews] (chief)：0  [Number of doctoral thesis reviews] (vice-chief)：0

  • 2021

    Number of instructed the graduation thesis：4 

Academic Activities

  • 人工知能学会全国大会 OS「創作者と人工知能が創る創作の未来」オーガナイザ

    Role(s)： Planning, management, etc.

    人工知能学会  （ 大阪国際会議場 ） 2025.05

  • 人工知能学会全国大会 OS「創作者と人工知能が創る創作の未来」オーガナイザ

    Role(s)： Planning, management, etc.

    人工知能学会  （ 京都国際会館 ） 2022.06

  • 人工知能学会全国大会 OS「創作者と人工知能が創る創作の未来」オーガナイザ

    Role(s)： Planning, management, etc.

    人工知能学会  （ オンライン ） 2021.06

  • 人工知能学会全国大会 OS「創作者と人工知能が創る創作の未来」オーガナイザ

    Role(s)： Planning, management, etc.

    人工知能学会  （ オンライン ） 2020.06

Original item・Special report (Social Activity)

  • 2025

    　 More details

    SDGs：

    Original item：堺市立中百舌鳥小学校研究室見学実施

    Special report：小学校二年生受入れ

Foreigner acceptance

  • 2025

    International Students :2

  • 2024

    International Students :2

  • 2023

    International Students :2

  • 2022

    International Students :2

Job title

  • Job title within the department

    School of Engineering Department of Information Science 

    学科長  2026.04

Original item / Special report (Management administration)

  • 2025

    　 More details

    Original item：情報学研究科就職担当