SCIS ISIS 2022

Accepted Special Sessions

  • SS-01: Human Symbiotic Systems
    Organizers: Tsuyoshi NAKAMURA (Chubu University, Japan), Tomohiro YOSHIKAWA (Suzuka University of Medical Science, Japan), Masayoshi KANOH (Chukyo University, Japan)

    Abstract: This special session aims to discuss 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, computers, and so on. We aim to encourage 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 the related researchers from a variety of fields, including intelligent robotics, human-machine interface, Kansei engineering, and so on. Topics of interest include but are not limited to the theory and application of:

    • Human-Agent Interaction (HAI)
    • Human-Robot Interaction (HRI)
    • Human-Computer Interaction (HCI)
    • Social Communication or Interaction
    • Partner or Communication Robots
    • Hospitality Robots
    • Human Interface Systems
    • Cooperative Intelligence
    • Kansei Engineering.

    Papers are invited from prospective authors with interest in the related areas.

  • SS-02: Application of AI/IoT for Social Safety
    Organizers: Kei Kawamura (Yamaguchi University, Japan), Yasutoshi Nomura (Ritsumeikan University, Japan), Michiyuki Hirokane (Kansai University, Japan)

    Abstract: With the increasing number of accidents and natural disasters caused by aging social infrastructure, mitigating and containing the damage caused by these accidents and disasters is an urgent issue. In this session, we will discuss the applicability and actual applications of Artificial Intelligent, Intelligent Systems, Mixed Reality, and so on.

  • SS-03: 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-04: 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 a fundamental role in developing 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 in the medical and healthcare system are needed. This special session aims to gather theories and applications to build new medical/healthcare systems with AI.

  • SS-05: Continual Learning and Emergence of Intelligent Systems
    Organizers: Yuichiro Toda (Okayama University, Japan), Chin Wei Hong (Tokyo Metropolitan University, Japan), Naoki Masuyama (Osaka Metropolitan University, Japan), Seiki Ubukata (Osaka Metropolitan University, 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-06: Automatic Text Summarization: Methods and Models
    Organizers: Iskander Akhmetov (Institute of Information and Computational Technologies, and Kazakh-British Technical University, Kazakhstan), Alexander Pak (KBTU, Kazakhstan)

    Abstract: The special session is supposed to foster the communication between researchers in the field of Automatic Text Summarization, present papers and discuss the approaches. The scope would include all possible works in the field: Novel, News, Legal and Scientific texts summarizations; title generation; keyword extraction; single and multi document; methods ranging from statistical and classic ML to modern NN and Transformers.

  • SS-07: Advanced Data Mining Techniques and Applications
    Organizers: Chun-Hao Chen (National Kaohsiung University of Science and Technology, Taiwan), Bay Vo (Ho Chi Minh City University of Technology, Vietnam), Tzung-Pei Hong (National University of Kaohsiung, Taiwan)

    Abstract: Over the past few years, research and development in data mining has made great progress. Many successful applications have been reported in journals and conferences. In general, data mining systems typically help businesses to expose previously unknown patterns in their databases. It has now been recognized that mining for information and knowledge from large databases and documents will be the next revolution in database systems. It is considered very important to major cost savings and potential revenue increase with immediate applications in business, decision systems, information management, communication, scientific research, and technology development. Advanced data mining techniques have recently been developed rapidly. More and more sophisticated techniques, such as variants of association rules and sequent patterns, fuzzy data mining, genetic algorithms applied to data mining, utility mining, etc., have been proposed, and many of them have already been deployed in many real-world applications. The major goal of this special session is to bring together the researchers in the data mining field to illustrate its pressing actual needs, demonstrate challenging research issues and exchange the state-of-the-art research and development.

  • SS-08: Rough Sets, Granular Computing and Their Applications
    Organizer: 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-09: Smart Technology - Smart Management
    Organizers: Esra SİPAHİ DÖNGÜL (Social Work Aksaray Üniversity, Turkey), Shajara Ul-Durar (University for the Creative Arts, United Kingdom), Erkin Artantas, (Osmaniye Korkut Ata University, Turkey), Luigi Pio Leonardo Cavaliere (University of Foggia, Italy), Mohammed El Amine Abdelli (University of Western Brittany-UBO, France)

    Abstract: "Intelligent management" solutions come to the forefront in the planning, organizing, management, auditing and coordination stages effectively and efficiently with limited resources in institutions and organizations. With "smart management", it becomes mandatory to determine in advance what, when, where, by whom and how to do it, to be handled both technologically and administratively, and to offer smart solutions. It is thought that this session, prepared under the theme of "Smart Technology - Smart Management", can evaluate the expertise of academicians in this field and be a source for their future work. Topics of interest include, but are not limited to:

    • Internet of Things and Marketing
    • E-Internship
    • Importance of Decision Support Systems in Terms of Business Management
    • Use of Smart Technologies in management
    • Smart Communication Platform for Effective Management
    • Application of Smart Technologies in Tourism and Hotel Management Sector
    • Importance of Smart Technologies in Terms of Business Management
    • The Relationship between International Entrepreneurship and Innovation and Smart Technologies

  • SS-10: Democratization: Future Direction
    Organizers: Atsushi Inoue (Mie University, Japan), Junji Nishino (The University of Electro-communications, Japan)

    Abstract: AI/ML has been well democratized in our societies. As a result, many people enjoy its various advantages and merits without special knowledge and skills. On the other hand, specialists may or may not be satisfied with the current democratization. This session focuses on matters of democratization in a wide range of aspects, e.g., tools, education, certification, platforms, business, evangelizing, etc. We are especially interested in discussing its future direction. Any papers relevant to democratization directly or indirectly are welcome to join. Knowing its nature, we expect short papers (2-4 pages) so that authors may advocate their thoughts and positions better.

  • SS-11: Soft Computing in Urban and Transport Planning
    Organizers: Takamasa Akiyama (Kansai University, Japan), Masashi Okushima (Tokushima University, Japan), Hiroaki Inokuchi (Kansai University, Japan)

    Abstract: The twelfth special session will be held on the application of soft computing to urban and transport planning since 2000. Soft computing techniques such as fuzzy logic and neural network have been applied to the problem of urban and transport planning for many years. Deep learning and artificial intelligence have been applied in recent years. The session will discuss many types of techniques in machine learning as well. The estimation of urban systems and evaluation of transport systems might be an essential problem in urban and transport planning in the real world. The advanced application of soft computing in future intelligent social systems would be recommended.

  • SS-12: Well-being and Kansei Engineering
    Organizers: Hiroko SHOJI (Chuo University, JAPAN), Yuri HAMADA (Aoyama Gakuin University, JAPAN)

    Abstract: Well-being is a condition that is inherently valuable to someone. Well-being for a person is the ultimate good condition for that person, the realization of something that is in his or her own interests. Well-being is subjective and inseparable from individual values. In promoting research on Kansei engineering, we would like to contribute not only to the affluence of the provision of goods and services but also to the realization of well-being for people. In this session, we gather various studies to contribute to well-being through Kansei engineering and discuss with the participants what we should do toward a well-being society.

  • SS-13: Deep Learning Techniques for Image Processing and its Applications
    Organizers: Chinthaka Premachandra (Shibaura Institute of Technology, Japan), Akiyoshi Hizukuri (Ritsumeikan University, Japan)

    Abstract: Deep learning, especially deep convolutional neural network (DCNN), has achieved outstanding performance in various fields such as image classification, detection, segmentation, and super-resolution. The DCNN is also applied in visual inspection, medical image analysis, and character recognition and has been shown to achieve superior performance compared to conventional methods without DCNN. In this special session, we are requesting papers including not only fundamental research on deep learning techniques for image processing but also applications.

  • SS-14: Color Perception, Processing, and Applications in Intelligent Systems
    Organizers: Pakizar Shamoi (Kazakh-British Technical University, Almaty, Kazakhstan), Jamaladdin Hasanov (ADA University, Azerbaijan)

    Abstract: Color is omnipresent in the modern world and has an impact on nearly all aspects of life. Therefore, the task of determining color characteristics is becoming more and more important. The session covers theoretical aspects and techniques as well as emerging applications of color image processing. Researchers and practitioners working in the fields of color science and systems, color representation, and color image processing are invited to contribute to this Special Session. The main goal of intelligent color image processing is to improve human-computer interaction. The topics include, but are not limited to: Color Image Retrieval, Color Image Segmentation, Semantic Processing of Color Images, Color Image Enhancement, Color Spaces, Modelling Human Color perception, Color Compensation, Color Quantization, Perceptually Inspired Algorithms and Approaches for Color Manipulation, Color Image Understanding, Computational Color Aesthetics.

  • SS-15: Recent Trends of Clustering Methodologies
    Organizer: Yukihiro Hamasuna (Kindai 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-16: Advanced in Maritime Transportation
    Organizer: Ho Namgung (Mokpo National Maritime University, Korea)

    Abstract: Optimizing the maritime shipping scheduling strategy is an important method for shipping companies to save operating costs without any modification to ships. Intelligent transportation is also the future development trend of shipping companies. Rapid development in data mining and artificial intelligence technology has been witnessed in recent years; these new technologies have great potential in solving traditional shipping scheduling problems, such as empty container repositioning, shipping network design, and analysis of ship emissions based on AIS data. This special session aims to promote research on advanced maritime transportation.

  • SS-17: Study of the Personal Information Protection Method for AI
    Organizer: Jung-Sook Kim (Kimpo University, Korea)

    Abstract: The organized session on the study of the personal information protection method for XAI(eXplainable Artificial Intelligence) will explore how the techniques can be developed to perfectly protect personal information from large data sources, which are images, personal data, etc. for designing XAI. An XAI is composed of two phases which are the explainable models and user interface. The explainable models develop a range of new or modified machine learning techniques to produce more explainable models. The user interface integrates state-of-the-art HCI with new principles, strategies, and techniques to generate effective explanations. In particular, the user interface could present personal information in XAI. In this session, we will design the method of personal information protection for XAI.

  • SS-18: Neurotechnology Advances in Machine Learning Applications for Dementia Neuro-biomarker Development, Cognitive Load Elucidation, and Brain-computer Interfaces
    Organizers: Tomasz M. Rutkowski (RIKEN AIP, Japan), Mihoko Otake-Matsuura (RIKEN AIP, Japan), Tomasz Komendziński (Nicolaus Copernicus University, Poland)

    Abstract: The special session organizers invite contributions presenting recent research focusing on machine learning approaches to brainwave (EEG, fNIRS, fMRI) or behavioral (eye-tracking, EMG, EOG, response time) in broad neurotechnology applications focusing on health and wellbeing. The papers will discuss recent contributions to dementia early-onset neuro-biomarker development, cognitive load monitoring, and comprehensive brain-computer/machine interface (BCI/BMI) advances. The special session will be focused, but not limited to, broad machine learning-focused or information processing and experimental contributions implementing contemporary shallow- or deep-learning approaches.

  • SS-19: Convergence Technology of Signal Processing and Biohealth
    Organizer: 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-20: Fuzzy Mathematics and Applications to Predictions
    Organizer: Jin Hee Yoon (Sejong University, Korea)

    Abstract: In this session, we introduce some new concepts of fuzzy inner product and deal with some applications such as fuzzy time series, F-transform, fuzzy regression, etc. In addition, fuzzy statistical models and their applications to the solar energy data, PPS data, and financial data will be dealt with to compare the results.

  • SS-21: Intelligent Systems for Smart Agriculture
    Organizers: Young-Jae Ryoo (Mokpo National University, Korea), Dae-Young Im (KITECH, Korea)

    Abstract: In these days, the productibility of agriculture is getting important. There are several efforts to increase the productibility of agriculture. The technology of smart farms and digital agriculture is one of those efforts. In this session, the research and studies of intelligent systems for smart agriculture will be presented.

  • SS-22: Intelligent System Design Using Artificial Intelligence
    Organizer: Yong-Tae Kim (Hankyong National University, Korea)

    Abstract: Currently, intelligent systems are being designed in various fields due to the development of artificial intelligence technology. Machine learning and deep learning algorithms have been applied in commercial, industrial, military and security applications. Autonomous mobile robots and image recognition systems are also major application field of artificial intelligence technology. This special session welcomes research results and discussions on intelligent system design using artificial intelligence in various fields.

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 at least three different institutions 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. We also appreciate if special session Organizers gather a large number of submissions. We will give such Organizers a small gift at the conference.

Proposal Submission

Proposal for Special Session has been closed.

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 scisisis2022+ss@gmail.com.

Important Date

Special Session Proposal: April 25 May 25, 2022 (extended)
Approval of SS Proposals: April 28 May 28, 2022 (extended)

Further proposals are still welcomed. Please send a message to scisisis2022+ss@gmail.com

Contact

For more information about Special Sessions, please contact Special Sessions Chairs:
Shinji Fukuda
Han Ul Yoon
scisisis2022+ss@gmail.com