Accepted Special Sessions

  • SS-01: Theory and Applications of Intelligent Systems
    Organizers: Takao Sato (University of Hyogo, Japan), Eiko Furutani (University of Hyogo, Japan), Do-Yup Kim (Incheon National University, Korea)

    Abstract: The purpose of this special session is to facilitate the presentation and dissemination of the latest knowledge, state-of-the-art applications, and case studies in the field of intelligent systems. The session will discuss original research, surveys, case studies, teaching, and theory on intelligent systems in engineering and other scientific and technical disciplines.

  • SS-02: Continual Learning and Emergence of Intelligent Systems
    Organizers: Yuichiro Toda (Okayama University, Japan), Naoki Masuyama (Osaka Metropolitan University, Japan), Seiki Ubukata (Osaka Metropolitan University, Japan), Chin Wei Hong (Tokyo Metropolitan University, Japan), Takeru Aoki(Tokyo University of Science, Japan)

    Abstract: The purpose of this special session is to discuss the continual learning and the emergence of intelligent systems for extracting, storing, and exploiting the multidimensional information from the environmental data with multiple modalities. This session welcomes fundamental research on information extraction techniques and knowledge base relation learning approaches. In addition, this session also welcomes research on the applied topic of exploiting knowledge with intelligent applications/robots.

  • SS-03: Human Symbiotic Systems
    Organizers: Tomohiro Yoshikawa (Suzuka University of Medical Science, Japan), Tsuyoshi Nakamura (Chubu University, Japan), Masayoshi Kanoh (Chukyo University, Japan)

    Abstract: This special session aims at discussing the basic principles and methods of designing intelligent interaction with the bidirectional communication based on the effective collaboration and symbiosis between the human and the artifact, i.e. robots, agents, computer and so on relating to fuzzy theory. We aims at encouraging the academic and industrial discussion about the research on Human-Agent Interaction (HAI), Human-Robot Interaction (HRI), and Human-Computer Interaction (HCI) concerning Symbiotic Systems. Reflecting the fact that this society covers a wide range of topics, in this session we invite not only fuzzy researchers but also the related researchers from a variety of fields including intelligent robotics, human-machine interface, Kansei engineering and so on.

  • SS-04: Evolutionary Computation, Swarm Intelligence, and Their Applications
    Organizers: Tomohiro Yoshikawa (Suzuka University of Medical Science, Japan), Kei Ohnishi (Kyushu Institute of Technology, Japan)

    Abstract: Evolutionary computation (EC) and swarm intelligence (SI) have attracted much attention as practical methods for solving complicated problems in the real world. This organized session widely calls for papers related to EC, SI, or their applications. This session is organized by the Special Interest Group on ECOmp in Japan Society for Fuzzy Theory and Intelligent Informatics.

  • SS-05: Application to infrastructure management and disaster prevention using AI and VR technique
    Organizers: Hisao Emoto (Tottori University, Japan), Kei Kawamura (Yamaguchi University, Japan), Yasutoshi Nomura (Ritsumeikan University, Japan), Michiyuki Hirokane (Kansai University, Japan)

    Abstract: Civil infrastructures need to be managed for keeping sustainably. As the civil infrastructure such as bridges for a management is important to evaluate health conditions by expert engineers. However, expert engineers are shortage in Japan. Furthermore, we should evaluate efficiency and quantitatively. And there are many natural disasters occurred in Japan. Self-help, mutual aid, and public assistance are important in disaster prevention. Discussing for factors, disasters such as torrential rains and earthquakes simulate. To result to these problems, we use to apply to infrastructure management and disaster prevention using AI and VR. In this session, I’d like to discuss about these themes.

  • SS-06: Artificial Intelligence for Medical/Healthcare Systems
    Organizers: Kento Morita (Mie University, Japan), Daisuke Fujita (University of Hyogo, Japan)

    Abstract: Artificial intelligence (AI) and machine learning (ML) play the fundamental role to develop new medical and healthcare applications (e.g. medical image analysis, clinical data mining, human monitoring, robotic surgery, and drug discovery). To reform the current medicine and healthcare considerably, further advances of medical and healthcare system are needed. This special session aims to gather theories and applications to build new medical/healthcare systems with AI.

  • SS-07: Recent Trends of Clustering Methodologies
    Organizers: Yukihiro Hamasuna (Kindai University, Japan), Seiki Ubukata (Osaka Metropolitan University, Japan)

    Abstract: Clustering is one of the most strong and important tools in many fields such as data mining, machine learning, and pattern recognition. These days, big data have attracted the interest of many researchers because the data have much significant and useful knowledge implicitly. For finding such knowledge from the data, many clustering algorithms have been proposed with new methodologies such as noise rejection, EM algorithm, rough sets theory, co-clustering, and cluster validity, and developed into various applications, including text mining, community detection, recommendation system and so on. In this special session, leading-edge works of clustering and its fusion of other methodologies will be described and discussed.

  • SS-08: User-friendly and User-adaptable Interactive Systems with Emotions and Kansei
    Organizers: Tomoko Yonezawa (Kansai University, Japan), Hirotake Yamazoe (University of Hyogo, Japan)

    Abstract: This special session invites submissions that explore innovative approaches to creating interactive systems focused on user-friendliness, adaptability, and acceptability, incorporating emotional intelligence and Kansei engineering. We seek contributions that push the boundaries in detecting and interpreting human emotions through advanced algorithms, developing interfaces that tailor experiences to individual user characteristics and preferences, and examining the effectiveness of these technologies in real-world applications. Submissions are expected to discuss original insights and advancements in crafting more intuitive and empathetic human-machine interfaces, and to demonstrate how integrating emotional and Kansei aspects with robotics, human interfaces, and other media technologies.

  • SS-09: Image Processing and Artificial Intelligence for Human-cantered Computing
    Organizers: Yoichi Kageyama (Akita University, Japan)

    Abstract: This session explores image processing and artificial intelligence (AI) for human-centered computing in a super smart society. Due to the development of AI, image processing techniques are also evolving. These technologies are now being employed in various aspects of our daily lives. In this session, we welcome theoretical and applied research focusing on utilizing these technologies to enhance human experience. This includes image recognition applications for understanding our surroundings.

  • SS-10: Soft Computing and Artificial Intelligence
    Organizers: Nobuaki Kobayashi (Nihon University, Japan), Toshihiro Irie (Nihon University, Japan), Akihisa Tabata (Nihon University, Japan)

    Abstract: The role of soft computing, including machine learning as represented by deep learning that is a subset of artificial intelligence, is an essential information technology that is indispensable in a wide range of fields. Corresponding to the diversity, in this organized session, we invite a wide range of topics related to soft computing from basic to applied, needless to say, machine learning as well as artificial intelligence, its implementation to analog/digital circuits that include quantum computers and hardware neurons, its applications to robotics, signal processing, human machine interaction, fuzzy theory, genetic algorithms, chaos, fractals, and optimization techniques such as PSO, ABC algorithms, DE. The fields are not limited to the above.

  • SS-11: Diversity, Equity & Inclusion (DE&I) in Soft Computing
    Organizers: Tomoe Entani (University of Hyogo, Japan)

    Abstract: Diversity, Equity, and Inclusion (DE&I) play pivotal roles in fostering innovation and excellence in Soft Computing research. In this session, we aim to delve deeper into the multifaceted dimensions of DE&I within Soft Computing, shedding light on the invaluable contributions of diverse research teams and interdisciplinary collaborations. We emphasize the significance of technologies like remote work systems and Human Resource (HR) analysis in facilitating the achievement of organizational DE&I objectives. With a focus on advancing DE&I goals in Soft Computing, we invite submissions that spotlight the endeavors of diverse research teams, present groundbreaking interdisciplinary research initiatives, and explore the strategic utilization of technology to propel DE&I efforts forward.

  • SS-12: Understanding Human Behavior and Knowledge Acquisition
    Organizers: Takenori Obo (Tokyo Metropolitan University, Japan), Hiroki Shibata (Tokyo Metropolitan University, Japan), Eri Sato-Shimokawara (Tokyo Metropolitan University, Japan)

    Abstract: Understanding the intricate dynamics of human behavior, encompassing interests, emotions, and preferences from diverse perspectives like behavior and language, is crucial for creating systems designed to coexist harmoniously with humans. Additionally, investigating factors such as community formation and social activities is of significant importance. This session is dedicated to delving into the understanding of human behavior and knowledge acquisition, aiming to facilitate discussions on the latest research in areas such as interfaces, information recommendation, human-computer interaction, big data, and related fields.

  • SS-13: Advancing Soft Computing Solutions for Real-World Problems
    Organizers: Yukinobu Hoshino (Kochi University of Technology, Japan), Shuoyu Wang (Kochi University of Technology, Japan), Shinichi Yoshida (Kochi University of Technology, Japan), Yutaka Hatakeyama (Kochi University, Japan), Kazushi Okamoto (University of Electro-Communications, Japan), Yuki Shinomiya (Shizuoka Institute of Science and Technology, Japan), Keita Mitani (Kochi University, Japan), Tomoe Entani (Hyogo Prefectural University, Japan)

    Abstract: Join us in advancing an integrated approach to soft computing methodologies for addressing real-world problems. Soft computing provides a powerful toolkit that leverages imprecision, uncertainty, and partial truths to render solutions tractable, robust, and cost-effective. This session will focus on advancing research in the application, development, and convergence of fuzzy logic, neural networks, evolutionary computing, swarm intelligence, and related techniques. Together, we will discuss strategies for solving real-world problems through soft computing solutions aimed at addressing their complexities.

  • SS-14: Flexible Behavior with Brain and Soft Computing
    Organizers: Isao Hayashi (Kansai University, Japan), Suguru N. Kudoh (Kwansei Gakuin University, Japan), Tetsuya Miyoshi (Hannan University, Japan), Keiichi Horio (Kyushu Institute of Technology, Japan), Masayuki Kikuchi (Tokyo University of Technology, Japan), Yukio Horiguchi (Kansai University, Japan)

    Abstract: In this session, we will explore a variety of themes from interdisciplinary research fields that intersect brain studies and behavioral sciences. These themes span a broad spectrum of information engineering fields, including but not limited to, soft computing, neuro-fuzzy and other brain-inspired information processing techniques, brain-machine interfaces, intelligent robotics, biological signal processing, behavioral pattern analysis, and sports engineering. We will also delve into cognitive and behavioral sciences, as well as practical applications of these technologies. We anticipate active discussions during this session, which we hope will contribute significantly to the advancement of this interdisciplinary field.

  • SS-15: Science and Technology in Awareness Computing at the Levels of Humans, Communities, and the World
    Organizers: Tadahiko Murata (Osaka University, Japan), Goutam Chakraborty (Iwate Prefectural University, Japan), Robert Kozma (University of Memphis, USA), Qiangfu Zhao (University of Aizu, Japan)

    Abstract: In this special session, we focus on science and technology for awareness computing. The goal of awareness computing (AC) is to build systems that are aware. Awareness does not necessarily imply full understanding. Compared with computational intelligence (CI) or artificial intelligence (AI), the goal of AC is less ambitious. According to Merriam Webster, It implies vigilance in observing or alertness in drawing inferences from what one experiences. Awareness can make computation towards the goal of CI or AI more efficient by shedding of irrelevant possibilities. In this session, we welcome papers that scientifically reveal a mechanism of awareness or relate to technologies to be alert for human, communities and the world.

  • SS-16: Rough Sets, Granular Computing and Their Applications
    Organizers: Yasuo Kudo (Muroran Institute of Technology, Japan)

    Abstract: Recently, rough sets and granular computing have been recognized as the new paradigm of computing and attracted the attention of researchers coping with data mining, knowledge discovery, pattern recognition, decision analysis, soft computing, Kansei engineering, etc. In this session, we focus on the recent progress of rough sets and granular computing and exchange the new results and the ideas for future developments in this research area. Not only papers on rough sets, granular computing, and their applications but also papers in the related area are welcomed.

  • SS-17: Artificial Intelligence Application for Image Processing
    Organizers: Tohru Kamiya (Kyushu Institute of Technology)

    Abstract: Signal and image processing techniques are evolving to meet new demands in many applications. The objective of this session is to provide an open and the informal atmosphere for discussion in information processing. In this session, researchers will exchange together their information in medical imaging to discuss the current state and future of signal and image processing. This session focus in research and development for computer information in signal and image processing, including Image processing and visualization, Segmentation, Image registration, Medical imaging.

  • SS-18: Convergence Technology of Signal Processing and Biohealth
    Organizers: Suk-seung Hwang (Chosun University, Korea)

    Abstract: The biohealth is closely related to the electronic technology such as various sensors and signal processing techniques. This session is interested in the biohealth technology based on the electronic or electrical engineering including sensors, signal processing techniques, devices, location detection technology, etc. In addition, various electronic technologies for the biohealth are also welcomed in this section.

  • SS-19: Maritime Intelligent Systems
    Organizers: Taeho Hong (Mokpo National Maritime University, Korea), Kwang-il Kim (Jeju National University, Korea)

    Abstract: This session includes traffic pattern identification and classification for autonomous operations at sea, route planning, and risk assessment for intelligent navigation. Machine learning based algorithms are applicable to analysis both time-series data and spatial distributed data from the AIS(Automatic Identification System) data which are collected from navigating vessels. In coastal water area, maritime traffic pattern has very complicated distribution in spatio-temporal domain. The features of such data may be different over observation period, i.e., from several months to few days or even to several hours. Furthermore, ship type influences the traffic pattern, characteristics. The external factors should be considered for safety and efficiency of navigation, e.g., geographical environment, marine weather, and sea state. We expect the following issue to be presented, but not limited to :
    - Identification and classification of Spatiotemporal Fishing Status Using Deep Learning Procedure
    - Ship’s risk assessment and safe route-finding algorithm against rough weather condition
    - Condition-based operation and improved route planning by using CNN-LSTM

  • SS-20: Fusion of Physical-based Model and Data-driven Model
    Organizers: Youngchul Bae (Chonnam National University, South Korea)

    Abstract: This organization session deals with fusion of physical-based models and data-driven models or data-base models. Recently, to address lack of data in the deep learning model, many researchers have interested for data argumentation, GAN (generative adversarial networks), PINN (physics-informed neural network). Traditional physical-based models are also continuously being researched. In this secession, we focus on the fusion research of two areas. In addition to authors cam also submit other topics.

  • SS-21: Foundation Models and their Applications
    Organizers: Keon Myung Lee (Chungbuk National University, Korea)

    Abstract: This session will explore the latest advancements, innovative applications, and ethical considerations of foundation models for natural language and sequential data. Topics of interest include, but are not limited to:
    - Novel architectures and training techniques for foundation models
    - Practical applications in healthcare, finance, education, creative arts, and more
    - Case studies showcasing successful implementations and lessons learned
    - Addressing challenges such as bias, fairness, privacy, and ethical implications
    - Future trends and emerging research in foundation models
    Submissions should present original research, practical applications, or insightful reviews that contribute to the understanding and advancement of foundation models. Join us in this session to share your work, gain insights from peers, and contribute to the evolving landscape of AI.

  • SS-22: Legal Issues on the Generative AI
    Organizers: Jung-Sook Kim (Kimpo University, Korea)

    Abstract: In this special session, we will describe the legal issues on personal information protection and copyright for Generative AI and will explore how the laws or regulations can be update to perfectly protect the personal information and copyright from very large learning data sources which are images, personal data, prompt input data, and etc for developing Generative AI and from created data from Generative AI.

  • SS-23: Advances in Deep Neural Network Training
    Organizers: Jee-Hyong Lee (Sungkyunkwan University, Korea)

    Abstract: The session will explore the latest innovations and methodologies in training deep neural networks (DNNs). This session will cover various topics in deep neural network training, including parameter-efficient tuning and prompt tuning for large-scale models. It will also delve into semi-supervised learning, self-supervised learning, learning with noisy labels, learning with single positive labels, and any topic related with training of DNNs.

  • SS-24: AI/ML Foundation Models for Next Generation Humanoid
    Organizers: Han Ul Yoon (Yonsei University, Korea)

    Abstract: This special session aims at discussing various foundation models as well as applications related to the next generation humanoid. Specifically, we would like to share both theoretical and practical approaches to:
    - Learning/imitating human decision making and behavior process
    - Dexterous manipulation with robotic hand/gripper
    - Object detection and recognition
    - Reinforcement learning, Sim2Real, and Real2Sim

Call for Special Session Proposals

Special sessions provide the opportunity to focus in details on particular emerging topics, which are not reflected in the list of conference topics or representative specific working fields, where researchers would like to meet and discuss advances. We would like to cordially invite you to propose special sessions.

Proposal Content

Please submit a proposal including the following information:

  1. Session title
  2. Name, Affiliation, Country, and email address of a contact organizer
  3. List of other organizer(s) if exist (Name(s), affiliation(s), country(ies) and E-mail address(es))
  4. Short description (approx.100 words Abstract)
  5. Expected number of submissions

Once approved, the duty of the Organizers is to publicize the Special Session among researchers and practitioners in the field and attract a sufficient number of papers.

Papers submitted to Special Sessions will undergo the same review process as regular papers. The Organizers of the respective special session are responsible for organizing the review process, assuring at least three reviews per paper. This includes the selection of reviewers from their peers.

Before starting the review process, Special Sessions Organizers must explicitly declare papers that present a conflict of interest for them. A conflict of interest arises where the judgment of a paper quality can be influenced by the Organizers being authors or knowing some of the authors. To ensure independent reviews, this conflict must be marked as such in the submission system and the SS chairs notified so that they can arrange the review process.

A minimum of four accepted papers (full and/or short papers) with authors from multiple research groups is required for each special session. Please note when proposed special sessions cannot collect the minimum number of accepted papers, the accepted papers will be allocated to other sessions wherever possible.

In the case of weakly organized special sessions, the conference Organizers will support the session Organizers with advice but reserve measures including cancellation of the respective special session.

We highly appreciate if special sessions are composed of presenters from various countries.

Proposal Submission

Please provide the information on your proposed special session through Google form

If you cannot access the google form, please send your proposal including the proposal content 1-5 to scisisis2024pc* (replace "*" to "@".).

Important Date

Special Session Proposal: April 26 May 17, 2024 (extended)
Approval of SS Proposals: May 3 May 24, 2024

Further proposals are still welcomed. Please send a message to scisisis2024pc* (replace "*" to "@".)


For more information about Special Sessions, please contact Special Sessions Chairs:
Yoshifumi Kusunoki
scisisis2024pc* (replace "*" to "@".)