Research Overview
Shaping a Better World through Image Information Engineering.
Our laboratory focuses on developing innovative solutions in image information engineering, with a particular emphasis on human-centric approaches and trustworthy AI systems. We strive to create technology that enhances human capabilities while ensuring reliability, safety, and ethical considerations.
Key research areas include:
- Computer Vision and Image Processing
- Human Behavior Analysis
- Affective Computing
- Trustworthy AI Systems
- Human-Computer Interaction
パリンヤー研究室では、「画像情報工学を活用して、人間とコンピュータが共生する幸福で豊かな世界を創成する 」というコンセプトのもと、次世代の画像認識・理解の研究に取り組んでいます。
人のライフスタイルの多様性への意識が高い社会において、人間と機械との有益なインタラクションを研究しながら、異なる価値観、文化に渡る人間行動や心理の理解を深めることを目指しています。これを実現するため、本研究室では画像情報科学の要素技術である、画像解析、認識、理解について人の特性の詳細な分析とコンピュータサイエンスを統合したコンピュータビジョンの研究に取り組みます。特に知能機械(コンピュータ、ロボット、対話エージェントなど)と人間とが共に安全、安心、思いやりを持って信頼性の高い相互作用が実現できるよう推進し、AI駆動の時代に知能機械が人間の生活を豊かにする未来を創造したいと願っています。
主な研究分野：
- コンピュータビジョンと画像処理
- 人間行動分析
- 感情コンピューティング
- 信頼できるAIシステム
- ヒューマンコンピュータインタラクション
Research Topics
Computer Vision and Image Understanding
We develop advanced computer vision algorithms to understand and analyze human behavior, focusing on creating intelligent systems that can perceive and interpret visual information in ways that complement human capabilities.
Key aspects:
- Human behavior analysis and understanding
- Visual perception and cognitive modeling
- Scene understanding and context analysis
- Multi-modal image processing techniques
Affective Computing and Human Psychology
Our research explores the intersection of human emotions, psychology, and computer vision, aiming to develop systems that can understand and respond to human emotional states across different cultural contexts.
Key aspects:
- Cross-cultural emotion recognition
- Behavioral pattern analysis
- Psychological state assessment
- Cultural-aware interaction systems
Secure and Trustworthy Image Understanding
We focus on developing reliable and secure image understanding systems that can be trusted in real-world applications, ensuring privacy, fairness, and robustness in AI-driven visual analysis.
Key aspects:
- Privacy-preserving image analysis
- Robust and reliable visual recognition
- Secure multi-party computation for visual data
- Ethical considerations in visual AI
Human-Centric Interactive Systems
Our research in HCI focuses on creating intuitive and natural interfaces between humans and intelligent machines, emphasizing the importance of human-centered design in visual interaction systems.
Key aspects:
- Natural visual interfaces
- Interactive visualization systems
- Adaptive user experience design
- Cross-cultural interaction patterns
Research Grants
Government Grants
2023-2026
科研費 若手 23K16925
JSPS KAKENHI Grant-in-Aid for Early-Career Scientists
Analysis of Emotional Expressions Beyond Borders using Image Information Processing
科研費 基盤（C）23K11950
JSPS KAKENHI Grant-in-Aid for Scientific Research (C)
Fundamental research for a non-invasive, home-use respiratory function diagnostic support system
Co-Is: Prarinya Siritanawan, Shinji Fukasawa
Institutional and Other Grants
2024
令和６年度 先端研究拠点形成支援（JAISTサイエンスハブ構築支援）
FY2024 JAIST Research Grant for Advanced Research Hub (JAIST Science Hub)
Co-Is: Toshiaki Aoki, Shinobu Hasegawa, Kiyoaki Shirai, Teeradaj Racharak, Prarinya Siritanawan, Proadpran Punyabukkana, Dittaya Wanvarie, Narit Hnoohom, Thanapon Noraset, Apichon Witayangkurn, Akkharawoot Takhom
令和６年度 萌芽的研究支援
FY2024 JAIST Research Grant (Fundamental Research)
Secured AI: Defending Against Adversarial Attacks in Modern Machine Learning and Image Analysis Systems
Co-Is: Razvan Flori Beuran, Karin Sumongkayothin
2023
令和5年度 萌芽的研究支援
FY2023 JAIST Research Grant (Fundamental Research)
Research on the Fundamental Visual Image Features of Adversarial Examples and the Defense Counterparts
Co-I: Kazunori Kotani
2022
令和４年度 萌芽的研究支援
FY2022 JAIST Research Grant (Fundamental Research)
Emotional Expression Analysis in a Multicultural Society
Co-Is: Kazunori Kotani, Shinobu Hasegawa, Teeradaj Racharak, Haruyuki Kojima
令和４年度 融合科学共同専攻における分野融合型研究支援
FY2022 Support for Transdisciplinary Research in Joint Degree Program
Emotional Cognition System Research Group
Principal Investigator (JAIST): Prarinya Siritanawan
2021
令和3年度 情報科学国際交流財団 (IISF) 研究者海外派遣助成
FY2021 IISF Grant for International Conference Participation
令和3年度 融合科学共同専攻における分野融合型研究支援
FY2021 Support for Transdisciplinary Research in Joint Degree Program
Emotional Cognition System Research Group
Principal Investigator (JAIST): Prarinya Siritanawan