Rchr

J-GLOBAL ID：200901024466801156 Update date: Oct. 26, 2024

Ozawa Seiichi

オザワセイイチ | Ozawa Seiichi

Affiliation and department：
Job title： Professor
Other affiliations (2)：

Kobe University Graduate School of Engineering Professor
Kobe University Center for Advanced Medical Engineering Research &Development Professor

Research field (3)： Information security , Intelligent informatics , Soft computing

Research keywords (8)： Machine Learning , Big Data Analysis , Federated Learning , continual learning , privacy-preserving machine learning , AI for security / Security for AI , text mining , smart agriculture

Research theme for competitive and other funds (30)：

2022 - 2027 Privacy Control Technologies for Smartglasses AI
2021 - 2027 Refinement of Cyberattack Generation Process Model by Using Machine Learning and Domain Knowledge
2022 - 2026 細胞外小胞を用いたリキッドバイオプシーによる癌に対する術前化学療法の効果予測
2023 - 2025 Research and development on the advancement of privacy preserving federated learning - Advancing privacy protection coalition learning for fraud transaction monitoring that contributes to continuous actual operation -
2022 - 2025 Secure computation-based implementation of privacy-preserving inter-organizational data collaboration meeting social demands

2021 - 2025 Modelling Attack Generation Process by Introducing Machine Learning and Domain Knowledge and Its Verification for Real Attack Data

2020 - 2024 R&D of Machine Learning Mechanism for Privacy Preserving Data Mining over Different Industries

2019 - 2022 Social Implementation of Privacy-Preserving Data Analysis

2016 - 2021 WarpDrive: Web-based Attack Response with Practical and Deployable Research Initiative

2016 - 2020 Online Learning Algorithms for Real-time Detection, Classification, and Visualization of Cyberattacks

2015 - 2020 Development of Diagnostic Method and Countermeasure Technology for High Yield Impeding Factor

2016 - 2019 複数組織データ利活用を促進するプライバシー保護データマイニング

2012 - 2015 Development of Malware Detection/Classification System Introducing Incremental Learning and Active Learning

2012 - 二国間交流「マルチモーダル・マルチタスク個人認証システムの開発」

2011 - 二国間交流「マルチモーダル・マルチタスク個人認証システムの開発」

2008 - 2010 Development of Multitask Pattern Recognition Model with Knowledge Transfer of Feature Space and Application to Person Identification

2010 - 二国間交流「マルチモーダル・マルチタスク個人認証システムの開発」

2007 - 2008 Optimizing and Visualizing Kernel Classifiers

2006 - 2007 Research of Sequential Multitask Learning and ItsApplication to Patlern Recognition

2004 - 2005 Research of Knowledge Acquisition and System Development by Data Mining

2004 - 2005 Proposal of a Pattern Recognition System Capable of Incremental Learning and Its Application to Facial Image Recognition

2003 - 2004 Research about Motor Unit Visualization with Surface EMG Signals

2002 - 2003 Development of Multiclass Support Vector Machines and Their Application to Diagnosis and Image Processing

2002 - 2003 長期記憶を導入したニューラルネットモデルの提案と動的環境におけるロバスト性の検証

2001 - 2003 Development of Intelligent Acoustic Diagnosis System Under Dynamic Environment

2001 - 2002 Study on Signal Processing Using Independent Component Analysis

1998 - 1999 Development of Handy Acoustic Diagnosis System

1998 - 1999 モジュール構造ニューラルネットの機能形成モデルとヘルスモニタリングへの応用

1993 - 1993 モジュール型神経回路網モデルの動的性質に関する定量的評価

1990 - 1991 Development of Automatic High Performance Seal Imprint Verification system with Imprint Quality Identification Function

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Papers (173)：

Miha Ozbot, Seiichi Ozawa, Igor Skrjanc. eFedGauss: A Federated Approach to Fuzzy Multivariate Gaussian Clustering. Proc. of 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 2024. 1-8
Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Akira Yamada, Takeshi Takahashi, Daisuke Inoue. Securing Code with Context: Enhancing Vulnerability Detection through Contextualized Graph Representations. IEEE Access. 2024
Le Trieu Phong, Tran Thi Phuong, Lihua Wang, Seiichi Ozawa. Frameworks for Privacy-Preserving Federated Learning. IEICE Trans. Inf. Syst. 2024. 107. 1. 2-12
Enna Hirata, Takahiro Yamashita, Seiichi Ozawa. Researcher Network Visualization Using Matrix Researcher2vec. Journal of Advanced Computational Intelligence and Intelligent Informatics. 2023. 27. 4. 603-608
Cesare Alippi, Seiichi Ozawa. Computational intelligence in cyber-physical systems and the Internet of Things. Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition. 2023. 251-267

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MISC (68)：

小澤誠一. 組織間水平連合学習による社会実装. オペレーションズ・リサーチ. 2024. 69. 5. 241-246
北野優斗, WANG Lihua, 小澤誠一. Efficient Replay Data Selection in Continual Federated Learning Model. 電子情報通信学会技術研究報告(Web). 2024. 123. 423(IT2023 117-135)
Towards Modeling the Visual Recognition for Human Security Countermeasures Using Large-Scale Language Models. 2023. 1536-1543
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatow. Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part III. Lecture Notes in Computer Science. 2023. 13625
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatow. Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part II. Lecture Notes in Computer Science. 2023. 13624

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Books (20)：

データサイエンスの考え方 : 社会に役立つAI×データ活用のために
オーム社 2021 ISBN:9784274227974
データサイエンス基礎
培風館 2021 ISBN:9784563016104
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part VII
Springer 2018 ISBN:9783030042394
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part VI
Springer 2018 ISBN:9783030042240
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part V
Springer 2018 ISBN:9783030042219

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Lectures and oral presentations (228)：

AIを安全に利用する技術的課題と対策
(コンピュータセキュリティシンポジウム2024, AWS/PWS共同企画「AIガバナンスに向けた政策と技術の動向について」 2024)
Label Correction for Machine Learning-Based Cyber Attack Detection Assuming Uncertainty in Data Labels
(Computer Security Symposium 2024 2024)
ime Series Data Augmentation Using State-Space Model and Its Application to Cyber Attack Data Generation
(4th CIC-NICT Workshop, Canadian Institute for Cybersecurity, University of New Brunswick 2024)
Time Series Data Augmentation Using State-Space Model and Its Application to Cyber Attack Data Generation
(Workshop on Cyber Defense and Resilience at Behaviour-Centric Cybersecurity Center (BCCC), York University 2024)
AIの社会実装とセキュリティ
(情報処理学会連続セミナー2024「情報技術の新たな地平:AIと量子が導く社会変革」 2024)

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Professional career (2)：

Master Engineering (Kobe University)
Dr. Engineering (Kobe University)

Work history (9)：

2022/04 - 現在 Kobe University Center for Mathematical and Data Sciences Director
2020/10 - 現在 Kobe University Center for Advanced Medical Engineering Research & Development Professor
2011/10 - 現在 Kobe University Graduate School of Engineering Professor
2017/12 - 2022/03 Kobe University Center for Mathematical and Data Sciences Deputy Director
2000/04 - 2011/09 Kobe University Graduate School of Engineering Associate Professor

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Committee career (19)：

2023/12 - 現在 The 31th International Conference on Neural Information Processing (ICONIP2024) Honorary Chair
2023/06 - 現在 The Institute of Systems, Control and Information Engineers Vice President
2021/06 - 現在 IEEE World Congress on Computational Intelligence (WCCI) 2024 Financial Chair / IJCNN Technical Co-Chair
2019/01 - 現在 International Neural Network Society (INNS) Vice-President
2017/01 - 現在 IEEE CIS Smart World Technical Committee Member

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Awards (5)：

2023/10 - Information Processing Society of Japan CSS2023 Incentive award Towards Modeling the Visual Recognition for Human Security Countermeasures Using Large-Scale Language Models
2022/10 - Information Processing Society of Japan CSEC Excellent Research Award
2020/10 - Information Processing Society of Japan CSS2020 Concept Research Award Darknet Scan Packet Analysis Using Port Embedding Vector
2019/12 - Asia Pacific Neural Network Society APNNS Excellent Service Award
2011/04 - IEEE Computational Intelligence Society EAIS 2011 Outstanding Paper Award "Incremental Recursive Fisher Linear Discriminant for Online Feature Extraction"に関する研究

Association Membership(s) (10)：

Information Processing Society of Japan , ACM , Asia Pacific Neural Network Society (APNNS) , International Neural Network Society (INNS) , IEEE , The Japanese Society for Artificial Intelligence , Japanese Neural Network Society , システム制御情報学会 , 電子情報通信学会 , 計測自動制御学会

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