IEEE GCCE 2025, Osaka, Sep. 23 - 26, 2025
Call for Organized Session Proposals
IEEE GCCE 2025 welcomes Organized Session proposals. Fill the proposal form by the deadline on the important date and be an organizer!
First Proposals for GCCE 2025 Organized Sessions
GCCE 2025 has received many proposals. Thank you very much. We have compiled a list of session proposals below.
The content has not been finalized yet. We look forward to receiving your proposals for the deadline.
Proposed Organized Sessions So Far
OS-AAT: Audio & Acoustic Technology
| Chair: | Kazuhiko Kawahara, JP (Kyushu University) |
| Co-Chairs: | Kazuma Hoshi, JP (Nihon University Junior College) |
| Keywords: |
measurement and instrumentation of audio devices, including transducers |
| audio signal processing |
| spatial audio |
| room acoustics |
| perception and evaluation of audio applications |
| Abstract: |
In the contemporary era, digital audio products have experienced significant growth within the consumer electronics field. Innovative and advanced technologies are required to enrich our new audio and acoustic experiences. Furthermore, a re-examination of contemporary audio engineering is imperative to facilitate the design of innovative audio devices and products.The objective of this organized session is to facilitate a discussion of recent research outcomes pertaining to the techniques and applications of audio engineering. Topics to be addressed include audio digital processing, spatial audio, room acoustics, networked audio applications, entertainment, and perception and evaluation of such applications. |
OS-ACE: Formal Approach to Consumer Technology
| Chair: | Koichi Kobayashi, JP (Hokkaido University) |
| Co-Chairs: | Shingo Yamaguchi, JP (Yamaguchi University) |
| Ichiro Toyoshima, JP (Toshiba Energy Systems & Solutions Corporation) |
| Kenji Sawada, JP (The University of Electro-Communications) |
| Keywords: |
formal specification and modeling |
| model-based development |
| reactive, real-time, hybrid, and cyber-physical systems |
| interdisciplinary approach with data science or mathematical optimization |
| application to practical systems |
| Abstract: |
Establishing the reliability of networked consumer electronic products is important. The uses of formal/mathematical methods are known as a promising approach in designing reliable consumer electronic products.
The organized session aims at stimulating research on formal/mathematical approach to consumer electronics and its applications.
The major topics include formal specification and modeling; model-based development; formal verification; application to real-time, hybrid and dependable systems; formal methods for safety, security, and reliability; computer tools; and applications.
The session organizers also welcome authors to submit reports on interdisciplinary approach, with data science or mathematical optimization and so on. |
OS-AMC: AI-based Metaverse Convergence
| Chair: | Woong Choi, KR (Kangnam University) |
| Co-Chair: | Liang Li, JP (Ritsumeikan University) |
| Keywords: |
metaverse convergence |
| deep learing |
| block chain |
| embodied AI |
| digital security convergence |
| Abstract: |
This section explores the convergence of cutting-edge technologies in the creation of an AI-based metaverse. By integrating deep learning techniques with blockchain frameworks, embodied AI paradigms, and robust digital security protocols, we propose a unified ecosystem that redefines virtual interactions and data integrity. Deep learning serves as the backbone for intelligent decision-making and dynamic content generation, while blockchain technology ensures transparency and trust through decentralized transaction management. Embodied AI enhances user experiences by providing realistic, interactive digital avatars that bridge the gap between physical and virtual realms. Moreover, the convergence of advanced digital security measures addresses critical concerns related to privacy and data protection in an increasingly interconnected digital landscape. Together, these convergent technologies pave the way for a secure, immersive, and intelligent metaverse, opening new avenues for research and applications in diverse fields. |
OS-CBS: Recent Advancements in Cyber Security
| Chair: | Shingo Yamaguchi, JP (Yamaguchi University) |
Co-Chairs: | Brij B. Gupta, TW (Asia University) |
| Keywords: |
information security |
| cyber security & forensics |
| security, trust & privacy measurement |
| mobile & web security |
| Abstract: |
Cyber security is an increasingly important requirement for global business and modern society as day to day operations are significantly hindered when Internet is “down”. Therefore, the challenge is to understand cyber risk and development of an effective cyber security system as technology continues to rapidly evolve and our systems become ever more complex. Trustworthiness and security of the Internet not only benefit on-line businesses, but they also strengthen public safety (and/or national security).
The objective of this special session is to provide a premier international platform to attract participants to discuss and present the most recent challenges and developments for knowledge enhancement in the area of cyber security and its best practices for the real world. This special session will be very beneficial for the participants to present their innovative ideas and to interact with some pioneer researchers in cyber security research domain. |
OS-CPS: Smart Cyber-Physical Systems & Security
| Chair: | Arata Koike, JP (Tokyo Kasei University) |
Co-Chairs: | Xiaodong Lu, JP (Electronic Navigation Research Institute) |
| Atsushi Kanai, JP (Hosei University) |
| Toru Kobayashi, JP (Nagasaki University) |
| Shigeaki Tanimoto, JP (Japan International University) |
| Qian Wu, JP (Hosei University) |
| Keywords: |
digital transformation |
| cyber-physical systems |
| security technologies and security management |
| cloud cooperation computing |
| service assurance |
| Abstract: |
With the spread of the heterogeneous devices (smart phones, many kinds of sensors, surveillance cameras, drones, robots, and other kinds of consumer electronics) connected to the Internet and cloud services, we are in the middle of the digital transformation era. Therefore, the importance of secure Cyber-Physical Systems (CPS) will continue to grow with the increasing pervasiveness of Information Communication Technology (ICT) and the development of the Internet or Intelligence of Things (IoT). In this organized session, we encourage to submit all technical issues about digital transformation applications (including digital twin), cloud cooperation computing, cloud cooperation management, security and security management for CPS, cloud for service assurance. We welcome wide range of technologies and applications for smart Cyber-Physical Systems. |
OS-: Information Security
| Chair: | Jungsoo Park, KR (Kangnam University) |
| Co-Chairs: | Manhee Lee, KR (Hannam University) |
| Changhoon Kim, KR (Daegu University) |
| Sokjoon Lee, KR (Gachon University) |
| Keywords: |
information security |
| AI security |
| zero trust |
| Abstract: |
The increasing integration of consumer electronics with cloud computing, IoT, and AI presents new security challenges. This organized session explores emerging threats, cryptographic advancements, privacy-preserving techniques, and Zero Trust architectures. Topics include secure device authentication, data protection, AI-driven security, and risk mitigation strategies. By gathering experts from academia and industry, this session aims to foster discussions on innovative approaches to safeguarding consumer technologies. |
OS-DSC: Data Science & Its Application to Consumer Technology
| Chair: | Yuanyuan Wang, JP (Yamaguchi University) |
| Co-Chairs: | Mohd Anuaruddin Bin Ahmadon, MY (Petronas University of Technology) |
| Shingo Yamaguchi, JP (Yamaguchi University) |
| Yukiko Kawai, JP (Kyoto Sangyo University) |
| Keywords: |
data science and analytics |
| data mining and data streams |
| deep learning / machine learning |
| big data and internet of things |
| recommender systems |
| Abstract: |
Nowadays, the internet and smart devices around us gather a large amount of data, which holds many potentials to improve our lives from many perspectives. Therefore, data science emerges as an interdisciplinary field that involves scientific methods in processes, algorithms, and systems to extract and analyze data that exists in various forms. Starting with raw data, the data is processed and analyzed by utilizing data models and algorithms such as machine learning and statistical analysis methods. Then, decision-making and data visualization are provided to support service recommendations, business analytics, and improving systems. This session invites researchers from various fields that focus on methodologies in data science, big data, and its visualization techniques, as well as its application to consumer technology, including (but not limited to) smart systems and the Internet of Things, network and security, or games and social media. We particularly welcome contributions that describe systems or tools related to data analytics, machine learning, recommender systems, and so on. We also highly encourage researchers to show their latest research work. |
OS-DSE: Devices & Software with ECHONET Lite (ISO/IEC 14543-4-3)
| Chair: | Masao Isshiki, JP (Kanagawa Institute of Technology) |
| Co-Chairs: | Hidekazu Suzuki, JP (Meijo University) |
| Takashi Murakami, JP (Panasonic Corporation) |
| Van Cu Pham, JP (Japan Advanced Institute of Science and Technology) |
| Keywords: | ECHONET Lite |
| IoT smart home |
| open platform |
| communication interface |
| devices |
| Abstract: |
ECHONET Lite (ISO/IEC 14543-4-3) is an International Open Standard on the IoT Smart Home area of sensing and controlling.
Already in the parts of the world, ECHONET Lite has been implemented in many devices and software related to HEMS, BEMS and many kind of service.
So we want practical survey on the devices and software with ECHONET Lite. Share and discussion on the good practice should be conducted for contributing to the world better life and future living.
Open standards like ECHONET Lite will be made an open practical platform which will be innovate the world, so we want to discuss more for future technologies and business platform. |
OS-DTA: Drone Technology & Its Applications
| Chair: | Kingkarn Sookhanaphibarn, TH (Bangkok University) |
| Co-Chairs: | Worawat Choensawat, TH (Bangkok University) |
| Ponlawat Khamlae, TH (Bangkok University) |
| Keywords: | data analytics & AI in drone technology |
| Precision applications of drones in various sectors |
| climate & environmental monitoring using drones |
| emerging innovations & future directions in drone tech |
| policy, regulation, and ethical considerations in drone usage |
| Abstract: |
As drone technology rapidly evolves, its applications are extending far beyond traditional boundaries, offering innovative solutions across multiple sectors. This special session, titled "Drone Technology and Its Applications," aims to explore how drones are revolutionizing fields such as agriculture, environmental monitoring, infrastructure inspection, disaster response, and beyond. By focusing on data-driven decision-making, real-time sensing, and AI integration, drones play a pivotal role in enhancing efficiency, sustainability, and resilience in the face of global challenges. This session will bring together experts, researchers, and practitioners to discuss the latest advancements, practical applications, and future opportunities in drone technology—highlighting how it can serve as a key enabler in building smarter, safer, and more sustainable systems worldwide. |
OS-EET: Empowering Education & Training through Metaverse & Extended Reality
| Chair: | Kingkarn Sookhanaphibarn,TH (Bangkok University) |
| Co-Chair: | Worawat Choensawat, TH (Bangkok University) |
| Ponlawat Khamlae, TH (Bangkok University) |
| Keywords: |
collaborative learning tools in the metaverse |
| simulation systems in educational contexts |
| integration of virtual reality in education |
| monitoring technologies for learning assessment |
| sensing device technology for interactive learning |
| Abstract: |
This session aims to unify researchers, engineers, and industry professionals in a comprehensive discussion on the transformative potential of virtual reality (VR), augmented reality (AR), and the metaverse in the realm of education and training. With a focus on leveraging these advanced technologies to revolutionize traditional learning environments and training methodologies, our objective is to highlight innovative applications that facilitate immersive learning experiences, enhance skill acquisition, and promote interactive engagement across various fields. Every presentation in this session will cover a wide array of practical research areas, such as simulation systems, intelligent educational resources, monitoring technologies, and digital signal processing, all with the aim of enhancing educational achievements and the efficacy of training programs. Additionally, the session will explore the integration of consumer electronics and sensing device technology in creating supportive and adaptive learning ecosystems. By addressing the challenges and opportunities within these areas, this session aims to chart a course for future advancements in education and training through the lens of extended reality and the metaverse.
|
OS-HPL: Smart Health Monitoring, Personalized Biomedical & Life Support Technologies
| Chair: | Ryoichi Suzuki, JP (Kanazawa Institute of Technology) |
| Co-Chairs: | Seiji Nishifuji, JP (Yamaguchi University) |
| Shenglin Mu, JP (Ehime University) |
| Keywords: | health monitoring |
| life support technology |
| rehabilitation technology |
| assistive devices technology |
| mechatronics / robotics |
| Abstract: |
Staying healthy and improving the quality of life are crucial social issues in super-aging societies and countries such as Japan. The roles of high-quality technologies in health monitoring, personalized biomedicine and life support have been becoming more and more important to support these societies and countries. This session focuses on innovative and challenging research and technologies in healthcare and life support technologies which include advanced health monitoring sensors and devices, rehabilitation systems, assistive devices and systems, mechatronics, and robotics, personalized biomedical devices, sensors and systems and biomedical informatics. This session also welcomes all research and technologies regarding smart health monitoring and new life support technology in addition to the above challenging technical issues. |
OS-: Intelligent Medical Decision-Making: Technological Innovation & the Future of Healthcare
| Chair: | Guang Shi, Yunnan University, CN (Yunnan University) |
| Co-Chairs: | Renyuan Zhang, CN (Yunnan University) |
| Yirong Kan, JP (NARA Institute of Science and Technology) |
| Zheng Chen, JP (Osaka University) |
| Wu Man, JP (Keio University) |
| Haohui Jia, JP (Hokkaido University) |
| Keywords: |
intelligent medical decision systems |
| machine learning & health data analytics |
| telemedicine & IoT in healthcare |
| personalized therapy & precision medicine |
| medical ethics & data privacy |
| Abstract: |
This session focuses on cutting-edge technologies and applications in intelligent medical decision-making, exploring the role of AI, big data analytics, and IoT in healthcare decision support. Through case studies and technical demonstrations, experts will share innovative practices of intelligent systems in disease prediction, personalized treatment, and remote health management. The session aims to foster interdisciplinary collaboration, accelerate the clinical translation of smart healthcare technologies, and enhance global healthcare services. |
OS-NLP: Machine Learning in Natural Language Processing & in Signal Processing
| Chair: | Md Shoaib Bhuiyan, JP (Suzuka University of Medical Science) |
| Keywords: |
signal extraction & analysis of bio signals |
| machine Learning including deep learning technologies |
| natural language processing |
| applications to the healthcare sector |
| applications to the education sector |
| Abstract: |
Various machine learning techniques will be used to observe patterns from data sets assembled over a long time period. May include processing of mechanical data, especially the signals/data of fluid flow under various working conditions. This will occasionally result into predictions and if so, we will strive to compare the actual results with those predictions.
Much work remains to be done to improve Natural Language Processing systems as they still lag human performance on many tasks, even after processing thousands of times more text than anyone can possibly read in a lifetime. Named entity recognition (NER) is an important task of finding entities with specific semantic types such as Protein, Cell, and RNA in text by addressing mostly with sequence labeling-based approach. Neural sequence labeling models have achieved state-of-the-art (SOTA) results for many NER tasks with advances of deep learning and we will have insights from latest work being done.
|
OS-STA: Sensing Technologies & Applications for Consumer Services
| Chair: | Norihiko Shinomiya, JP (Soka University) |
| Co-Chair: | Michiko Nishiyama, JP (Soka University) |
| Keywords: |
sensors, actuators and systems for smart space |
| applications for health care management, automotive, security, environmental monitoring and robotics |
| optical, electromagnetic, chemical, biological and physical sensors |
| sensors phenomena, fusion, modelling and characterization |
| wireless sensor network and internet-based communications |
| Abstract: |
Smart space with various sensing technologies has been desired in consumer services such as health care, welfare, entertainment, automotive and agriculture services. They might want to be offered in coexistence with AI and robotics to create comfortable human daily life without stress. This session is expected to discuss a wide range of researches on “sensing technologies and applications for consumer services" for providing livelihood support, which is an element and core technology in order to facilitate future innovation. The subject of this session might include sensors, actuators, network, human interface, services, machine learning and robotics, however, not limited to them. |
OS-TMR: Technologies for Multimedia & Real Data Analysis & Processing
| Chair: | Takahiro Ogawa, JP (Hokkaido University) |
| Co-Chair: | Soh Yoshida, JP (Kansai University) |
| Keywords: |
image/video analysis and processing |
| music/audio data analysis and processing |
| web/SNS data analysis and processing |
| biological data analysis and processing |
| analysis and processing of real data |
| Abstract: |
In recent years, users have been able to obtain and produce many kinds of multimedia data such as images, videos, music/audio data and Web/SNS data via their own devices. Furthermore, not only multimedia data but also many real data are accumulated in several scenes. Analysis and processing of multimedia and real data greatly contribute to developments of new services and products. Furthermore, innovative technologies can be realized by introducing not only new theories but also new software and hardware developments. This organized session aims at discussing such technologies. The topics of interest in this organized session include, but are not limited to analysis and processing of images, videos, music/audio data, Web/SNS data, biological data and various kinds of real data. |
OS-: Software Agent Systems for Data Science & Artificial Intelligence
| Chair: | Hiroyasu Matsushima, JP (Shiga University) |
| Co-Chairs: | Tomoki Yoshihisa, JP (Shiga University) |
| Keywords: |
data science |
| machine learning |
| agent application |
| multi-agent system / simulation |
| Abstract: |
With the recent development of information technology such as mobile communication and sensing technology, various data are accumulated through web services and IoT, and the utilization of data is important for solving business and social issues. Research using real data is becoming increasingly important, in the research areas such as data science, machine learning, AI agents and simulation. These research areas support the improvement of work efficiency in various conventional operations.
The aim of this organized session is to create new opportunities for collaboration in these areas, and to provide a forum for discussion and technical presentations. |
OS-: Emerging & Sensing Technology for Product or Service Design
| Chair: | Chien-Hsu Chen, TW (National Cheng Kung University) |
| Co-Chairs: | Min-Yuan Ma, TW (National Cheng Kung University) |
| Yang-Cheng Lin, TW (National Cheng Kung University) |
| Keywords: |
VR/AR/AI for healthcare and medical challenges |
| gamification design |
| wearable device design |
| gerontechnology |
| human-centered design |
| Abstract: |
As societies face aging-related and medical challenges, emerging and sensing technologies such as AI, VR, AR, and smart healthcare solutions play a crucial role in enhancing usability, accessibility, and overall quality of life. This session welcomes research and design case studies that apply these technologies using human-centered approaches to bridge the gap between technology and design. We aim to foster discussions on future trends, challenges, and opportunities in the field. Topics of interest include innovative solutions in healthcare, wearable and assistive technologies, smart environments, and intelligent systems. Researchers, practitioners, and industry experts are invited to share insights that push the boundaries of innovation in smart products and services. |
OS-: Innovative Wireless Networking Technologies for Next-Generation Consumer Electronics
| Chair: | Chenglong Shao, JP (Kyushu Institute of Technology) |
| Co-Chairs: | Yi-Wei Ma, TW (National Taiwan University of Science and Technology) |
| Keywords: |
wireless networking technologies |
| internet of things |
| network intelligence |
| Abstract: |
This organized session focuses on innovative wireless networking technologies that are transforming the landscape of consumer electronics. As demand grows for seamless, high-speed, and energy-efficient connectivity, advanced networking solutions are essential for supporting smart homes, wearables, mobile devices, entertainment systems, and IoT applications. This organized session provides a platform for researchers, engineers, and industry experts to share recent developments, practical implementations, and future challenges in wireless networking. Topics of interest include, but are not limited to: emerging IoT networking technologies (e.g., LPWANs, Wi-Fi 6/6E/7, and 5G/6G), wireless sensing and network intelligence for IoT, software-defined wireless networking, edge computing integration, network traffic optimization, energy-efficient communication protocols, QoS and QoE enhancement techniques, AI/ML-based wireless network management, interoperability among heterogeneous networks, and wireless security and privacy. Contributions addressing both theoretical innovations and real-world deployment strategies are highly encouraged. This session aims to foster cross-disciplinary discussion and collaboration to shape the future of wireless networking for next-generation consumer electronics. |