IEEE 広島支部 会員各位：



　　　　　　　　　　　　　　　IEEE SMC Hiroshima Chapter

　　　　　　　　　　　　　　　Chair　広谷 大助（県立広島大学）



SMC Chapterより国際会議SMC2025における当Chapter主催Special Session

について案内させていただきます．

SMC分野で最大の国際会議IEEE SMC2025が10/5-8の間オーストリア，

ウィーンにて開催されます．



そこでChapterに関係する広島大学の林田先生，広島市立大学の田村先生，

原先生がorgazizerとなり，Special Session

“Next-Generation Computational Intelligence for Evolving Systems and Applications”

を企画しております．皆様のご投稿をお待ちしております．



また，IEEE SMC Hiroshima Chapterでは，学生会員の研究活動の

支援のため，Student Travel Grantを

設置しておりますのでご活用ください．

学生会員向け情報


 

詳細については，下記の記事をご参照ください．

https://www.ieee-jp.org/section/hiroshima/chapter/SMC-28/2136/



よろしくお願いいたします．



- - - - - - - - - 

　　　　　IEEE SMC2025 Special Session Call for Papers



October 5-8, 2025

Vienna, Austria



IEEE SMC2025 Special Session on

"Next-Generation Computational Intelligence for Evolving Systems and Applications"



Co-organizers: Tomohiro Hayashida (Hiroshima University), 

Keiichi Tamura (Hiroshima City University), 

Akira Hara (Hiroshima City University)

(Organized by IEEE HIROSHIMA SECTION SMC CHAPTER)



CFP PDF file: 

http://www.ieee-jp.org/section/hiroshima/chapter/wp-content/uploads/sites/2/2025/03/SMC2025-SS.pdf

http://www.ieeesmc2025.org/



[Introduction]

The proposed special session, titled "Next-Generation Computational Intelligence for Evolving Systems and Applications," aims to explore cutting-edge advancements in computational intelligence (CI) and their transformative applications in dynamic and real-world environments. As technology continues to evolve rapidly, the integration of adaptive and intelligent systems becomes imperative to address challenges in domains such as healthcare, smart cities, autonomous systems, and energy management.

This session will focus on state-of-the-art methodologies and frameworks, such as advanced machine learning techniques, reinforcement learning, neuro-symbolic AI, and hybrid intelligence systems. A key objective is to highlight approaches that facilitate adaptability and knowledge evolution in uncertain or continuously changing scenarios, ensuring robust performance in practical applications.

The session welcomes contributions that showcase novel algorithms, innovative system designs, and successful implementations bridging the gap between theoretical developments and their operational deployment. The importance of addressing ethical considerations, transparency, and sustainability in these technologies will also be emphasized.

This session is organized as part of the activities of the IEEE SMC Hiroshima Chapter, aiming to promote academic and practical advancements in computational intelligence within a global and interdisciplinary framework. By gathering leading researchers and practitioners, this session seeks to foster interdisciplinary collaboration and exchange of ideas, driving the development of next-generation intelligent systems. Attendees will gain insights into emerging trends, challenges, and solutions, making this session a valuable platform for advancing the frontiers of computational intelligence and its applications.

This topic aligns seamlessly with the IEEE SMC mission of advancing systems, man, and cybernetics in an interconnected and adaptive world.



[Indicative Topics/Areas]

Computational Intelligence

Adaptive Systems

Knowledge Evolution

Real-World Applications

Advanced Learning Techniques



[Important Dates]

April 4, 2025: Deadline for submission of full papers to special sessions.

May 23, 2025: Acceptance/Rejection Notification

June 20, 2025: Final camera-ready papers due in electronic form.



[Submission]

Manuscripts for a Special Session should NOT be

submitted in duplication to any other regular or special

sessions and should be submitted to SMC 2025 main

conference online submission system on SMC 2025

conference website.



All special session paper submission will be reviewed in

the same way as main conference Regular Papers by a

general pool of reviewers. Only papers of SMC

Conference quality will be accepted for presentation.

The Area Chairs and Co-Chairs of the SMC Technical

Program will coordinate the review process.



[Contact]

IEEE SMC Hiroshima Chapter (office)

ieee-smc-hiroshima@ml.hiroshima-u.ac.jp