Rchr

J-GLOBAL ID：200901024466801156 Update date: Mar. 20, 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 (29)：

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
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 追加学習可能なパターン認識システムの提案と顔画像認識への応用

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 (163)：

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
Muhammad Fakhrur Rozi, Tao Ban, Seiichi Ozawa, Akira Yamada 0001, Takeshi Takahashi 0001, Sangwook Kim, Daisuke Inoue. Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation. IEEE Access. 2023. 11. 102727-102745
Muhammad Fakhrur Rozi, Seiichi Ozawa, Tao Ban, Sangwook Kim, Takeshi Takahashi, Daisuke Inoue. Understanding the Influence of AST-JS for Improving Malicious Webpage Detection. Applied Sciences. 2022
Septiviana Savitri Asrori, Lihua Wang, Seiichi Ozawa. Permissioned Blockchain-Based XGBoost for Multi Banks Fraud Detection. ICONIP (3). 2022. 683-692

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MISC (54)：

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
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 I. Lecture Notes in Computer Science. 2023. 13624
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 VII. Lecture Notes in Computer Science. 2023. 1794
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 V. Lecture Notes in Computer Science. 2023. 1792

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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 (215)：

Privacy-Preserving Machine Learning for Big Data Analysis - How can we solve social issues using AI? -“
(Lecture 2 at the University of Ljubljana 2023)
Cyber Security and Its Countermeasures in AI Systems
(Lecture 1 at the University of Ljubljana 2023)
機械学習とOSSのセキュリティ
(機械学習とOSSのセキュリティ 2023)
BFL-Boost: Blockchain-based Federated Learning for Gradient Boosting to Enhance Security in Model Training
(in 2023 Symposium on Cryptography and Information Security (SCIS) 2023)
Cyber Security and Its Countermeasures in AI Systems
(2022 5th Artificial Intelligence and Cloud Computing Conference 2022)

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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 (17)：

2023/01 - 現在 Asia Pacific Neural Network Society (APNNS) Immedate Past President
2022/12 - 現在 The 30th International Conference on Neural Information Processing (ICONIP2023) Advisory Chair
2021/06 - 現在 IEEE World Congress on Computational Intelligence (WCCI) 2024 Financial Chair / IJCNN Technical Co-Chair
2021/06 - 現在 The Institute of Systems, Control and Information Engineers Board of Governor
2019/01 - 現在 International Neural Network Society (INNS) Vice-President for Membership

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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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