Accepted Organized Sessions
GCCE 2026 received many proposals for Organized Session.
The committee has accepted the following OSs. Thank you for OS chairs' contributions.
All Accepted Organized Sessions are listed below.
Accepted Organized Sessions
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 Osaka) |
| 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-ACS: Artificial Intelligence for Communication & Signal Processing Applications
| Chair: | Shuta Ueno, JP (Otemon Gakuin University) |
| Co-Chairs: | Sulin Chi, JP (Otemon Gakuin University) |
| Hsuan-Fu Wang, TW (National Formosa University) |
| Keywords: |
AI |
| IoT |
| UAV |
| Wireless communication |
| Signal processing |
| Abstract: |
In recent years, generative AI has demonstrated remarkable capabilities across various fields of science and technology. This session aims to explore the wide range of applications of generative AI in a communication society, the creation of a future where humans and generative AI co-exist, and the relationship between communication technologies and generative AI. In the age of big data-powered AI, improving the propagation model can be considered a supervised learning problem. Therefore, using the vast amount of data generated by many users, along with machine learning methods, to create a wireless communication model is highly valuable in practice. We invite researchers, practitioners, and innovators to submit papers on the development and study of applications that address the challenges posed by rapid societal advancements. Submissions are welcome on all aspects of generative AI applications across various areas, as well as research examining the intersection of generative AI and communication technologies (beyond the topics above). Additionally, we encourage discussions on the potential misuse of this powerful technology. It's crucial to ensure its responsible and ethical deployment, a topic of utmost gravity. Therefore, we particularly welcome papers that investigate the risks, moral concerns, and potential misuses associated with generative AI. |
OS-DSC: Data Science & Its Application to Consumer Technology
| Chair: | Yuanyuan Wang, JP (Yamaguchi University) |
| Co-Chairs: | Mohd Anuaruddin Bin Ahmadon, Malaysia (Universiti Teknologi Petronas) |
| Shingo Yamaguchi, JP (Yamaguchi University) |
| Yukiko Kawai, JP (Kansei 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-NLP: Machine Learning in Natural Language Processing & in Signal Processing
| Chair: | Md Shoaib Bhuiyan, JP (Suzuka University of Medical Science) |
| Keywords: |
Signal extraction and analysis of bio signals |
| Machine Learning including deep learning technologies |
| Natural Language Processing |
| Applications to healthcare |
| Innovations in NLP and in Signal Processing |
| 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-SDS: Agent Systems for Data Science and Artificial Intelligence
| Chair: | Akira Kawai, JP (Shiga University) |
| Co-Chairs: | Tomoki Yoshihisa, JP (Shiga University) |
| Keywords: |
Data science |
| ITS |
| AI |
| IoT |
| Cyber security |
| 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, such as cyber physical, MaaS, data science, AI. These research areas support the improvement of work efficiency and safety 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-AAT: Audio & Acoustic Technology
| Chair: | Yoshifumi Chisaki, JP (Chiba Institute of Technology) |
| Co-Chairs: | Kazuhiko Kawahara, JP (Kyushu University) |
| Kazuma Hoshi, JP (Nihon University) |
| Irwansyah, JP (Chiba Univeristy) |
| Keywords: |
Measurement and Instrumentation of Audio Devices, including Transducers |
| Audio Signal Processing |
| Spatial Audio |
| Room Acoustics |
|
| 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-AIP: Advanced Image Processing
| Chair: | Yen-Wei Chen, JP (Ritsumeikan University) |
| Co-Chairs: | Tomio Goto, JP (Nagoya Institute of Technology) |
| Keywords: |
Image Processing such as Image Filtering, Super-resolution, Noise Reduction and Image Compression |
| Photograph Image Processing |
| Entertainment Image Processing |
| Pattern Recognition |
| Computer Graphics |
| Abstract: |
In consumer application, the demand for image processing is increasing. In addition to the traditional television and camera, the new field of 3D application, photograph processing, entertainment image, image recognition, computer graphics, and image compression for personal use have been greatly progressed. In this session, every advanced image processing technology for consumer and personal application will be encouraged to be submitted. |
OS-ART: Performance Art with Consumer Electronics
| Chair: | Soichiro Matsushita, JP (Tokyo University of Technology) |
| Co-Chairs: | Fumiko Nakamura, JP (National Institute of Technology, Numazu College) |
| Keywords: |
Musical performance |
| Temporal art |
| Physiological sensors |
| Motion sensors |
| Wearable computers |
| Abstract: |
This organized session covers the cross-sectional field between art and technology. Performance art, such as playing music, dancing, and sports, is a form of temporal art that cannot be taught by experts, especially using linguistic information. A wide variety of differences in physical and mental characteristics of performers would make an interesting challenge for consumer electronics. Input devices such as cameras, motion sensors, and physiological sensors can distinguish the differences in artistic expressions. Visual and tactile displays may raise awareness of a problem in the performance. An electronic system for production effects, such as stage lighting and sound effects, may enhance the audience experience. |
OS-MMI: Music & Musical Instruments
| Chair: | Naoto Wakatsuki, JP (University of Tsukuba) |
| Co-Chairs: | Kojiro Nishimiya, JP (Kanagawa Institute of Technology) |
| Tadashi Ebihara, JP (University of Tsukuba) |
| Keywords: |
Devices to support musicians, musical performance or musical education |
| Analysis of musical performance |
| Music information processing |
| Electronic musical instruments |
| Signal processing for music |
| Abstract: |
This session focuses on technologies and researches related to the tools for music creation, musical performance, developing musical instruments including electronic, acoustic, and electronically augmented acoustic ones. The technologies to support musical performance beginners or musicians are especially expected. But every research related to music or musical instruments is included. |
OS-SLP: Spoken Language Processing for Daily Life
| Chair: | Ryota Nishimura, JP (Toyohashi University of Technology) |
| Co-Chairs: | Kazumasa Yamamoto, JP (Chubu University) |
| Hiromitsu Nishizaki, JP (University of Yamanashi) |
| Norihide Kitaoka, JP (Toyohashi University of Technology) |
| Keywords: |
Speech recognition in practical use |
| Spoken dialog system |
| Voice search |
| Spoken language / speech processing in daily life |
|
| Abstract: |
In recent years, the performance of digital devices such as smartphones has improved dramatically, and new machine learning technologies as typified by deep learning has also attracted much attention. This has resulted in spoken language processing techniques such as speech recognition to achieve good performance and resulted in it being practical for consumer's use. Recently, the consumer electronics companies have also began to develop applications of spoken language technologies for home appliances. This trend shows that spoken language processing technologies will become pervasive in our daily life in the near future. |
OS-TMR: Technologies for Multimedia & Real Data Analysis & Processing
| Chair: | Takahiro Ogawa, JP (Hokkaido University) |
| Co-Chairs: | 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-DRR: Practical Issues, Systems & Applications for Disaster Risk Reduction
| Chair: | Hideyuki Takahashi, JP (Tohoku Gakuin University) |
| Co-Chairs: | Kazuya Sugiyasu, JP (Iwate Prefecture University) |
| Nobuhide Yokota, JP (Shizuoka University) |
| Yujin Lim, KR (Sookmyung Women's University) |
| Keywords: |
Consumer Electronics, Systems & Services for Disaster Risk Reduction |
| Issues & Trends of Information Technologies for Disaster Risk Reduction |
| Internet of Things and Artificial Intelligence for Disaster Risk Reduction |
| Protocol, Network & Middleware for Disaster Risk Reduction |
| Support Technologies for Recovery and Reconstruction |
| Abstract: |
Various large scale disasters have become more frequent in recent years, and we need to consider the importance of strengthening our resilience and sustainability against natural disasters through the development of practical disaster risk management and new technologies related to consumer electronics, systems, and services. This organized session aims at practical research and study, new consumer electronics, advanced information technology including Internet of Things (IoT) and Artificial Intelligence (AI), and novel system and application for disaster risk reduction. This organized session also welcomes various researches and technologies related to disaster risk reduction or recovery and reconstruction. |
OS-GSC: Green Software for Consumer Electronics
| Chair: | José Miguel Aragón-Jurado, JP (Waseda University) |
| Co-Chairs: | Ruck Thawonmas, JP (Ritsumeikan University) |
| Keywords: |
Green software engineering for consumer electronics |
| Compiler and build configuration effects on energy consumption |
| Energy–performance trade-offs in computing systems |
| Automatic software tuning and optimization |
| Energy profiling and benchmarking methodologies |
| Abstract: |
Energy efficiency and sustainability have become important design objectives in modern consumer electronic devices and platforms, including those for interactive applications such as games, XR, multimedia systems, and mobile computing. This organized session focuses on green software optimization techniques that reduce energy consumption while preserving performance and quality of experience in real-world consumer environments. Topics include compiler and build configuration impact, automatic software tuning, energy-aware runtime adaptation, benchmarking methodologies, and CPU/GPU optimization in consumer architectures. The session aims to bring together researchers working on empirical and optimization-driven approaches to improve the sustainability of consumer and interactive computing systems. |
OS-OCE: Ocean Engineering
| Chair: | Tadashi Ebihara, JP (University of Tsukuba) |
| Keywords: |
Marine observation |
| Ocean resource development |
| Offshore wind power generation |
| Robotics and navigation |
| Sensing, communication, and simulation technologies |
| Abstract: |
This special session focuses on technologies and research related to ocean engineering, which supports our daily lives. Topics include marine observation, ocean resource development, offshore wind power generation, maritime transportation and navigation, robotics (such as autonomous underwater vehicles, remotely operated vehicles, and underwater drones), underwater construction, and the supporting technologies such as sensing, communication, and simulation technologies. |
OS-DHW: Digital Health Technologies for Well-being and Disease Detection in Real-World Settings
| Chair: | Toru Nakamura, JP (The Osaka University) |
| Co-Chairs: | Wu Shuqiong, JP (The Osaka University) |
| Keywords: |
Digital Health |
| Well-being |
| Disease Detection |
| Pre-disease (Mibyo) |
| Physiological data analysis |
| Abstract: |
Recent advances in artificial intelligence, wearable devices, and intervention technologies are accelerating the development of consumer-oriented digital health systems. Continuous monitoring in daily life enables the collection and analysis of diverse bio-psycho-behavioral data, providing new opportunities to understand health conditions and support wellbeing. In particular, data-driven analysis of physiological signals, such as EEG, heart rate variability, and speech signals, has shown potential for detecting subtle changes preceding disease onset as well as supporting early diagnosis. This session focuses on digital health technologies that support well-being, early risk detection, and disease diagnosis from a pre-disease (Mibyo) perspective. We invite contributions on sensing technologies, signal processing, and intelligent systems for preventive healthcare and health assessment in real-world settings. |
OS-HAD: Advances & Applications of Human Assistive Devices
| Chair: | Tadaaki Ikehara, JP (Shonan Institute of Technology) |
| Co-Chairs: | Kazuyuki Kojima, JP (Shonan Institute of Technology) |
| Nobuo Funabiki, JP (Okayama University) |
| Htoo Htoo Sandi Kyaw, JP (Okayama University) |
| Fumiko Nakamura, JP (National Institute of Technology, Numazu College) |
| Keywords: |
Assistive Technology |
| Mobility Aids |
| Communication Support |
| Visual Impairment |
| Accessibility Innovation, E-learning |
| Abstract: |
This session will spotlight the latest technological innovations and applications in human assistive devices. Prominent researchers, developers, and practitioners will discuss recent advancements and challenges in areas such as mobility assistance, communication support, and visual and auditory aids. The session aims to explore how emerging technologies enhance accessibility and quality of life for individuals with disabilities, while also fostering interdisciplinary collaboration and new research partnerships. |
OS-HPL: Smart Health Monitoring, Personalized Biomedical & Life Support Technologies
| Chair: | Shenglin Mu, JP (Ehime University) |
| Co-Chairs: | Ryoichi Suzuki, JP (Kanazawa Institute of Technology) |
| Seiji Nishifuji, JP (Yamaguchi 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-IDB: Integration of Data Science and Biomechanics for the Development of Wearable Support Systems to Maintain and Improve QOL
| Chair: | Fumiko Nakamura, JP (National Institute of Technology Numazu College) |
| Co-Chairs: | Mitsuhiro Hayase, JP (Sugiyama Jogakuen University) |
| Keywords: |
Marker or Markerless |
| Wearable Sensing |
| QOL |
| Data Science |
| Biomechanics |
| Abstract: |
We welcome presentations on marker or markerless motion capture, wearable health monitors, and AI-based measurement and system development. Systems are robots, smart devices or clothes, etc., any types are OK. Advances in biomechanics can contribute to the development of assistive technologies that go beyond traditional medical interventions to improve quality of life (QOL). These include methods for training patients, such as rehabilitation, as well as assistive devices for individuals with limited recovery prospects and methods to support caregivers. Improvement of athletic ability can also be advanced through biomechanical analysis techniques. This session aims to develop cutting edge systems for human monitoring, real-time diagnosis, instruction, and assistance that utilize data science and communication technologies. |
OS-AIR: Artificial Intelligence & Robotics
| Chair: | Shohei Kato, JP (Nagoya Institute of Technology) |
| Co-Chairs: | Takahiro Uchiya, JP (Nagoya Institute of Technology) |
| Atsuko Mutoh, JP (Nagoya Institute of Technology) |
| Ryota Nishimura, JP (Toyohashi University of Technology) |
| Keywords: |
AI, computational intelligence and intelligent informatics |
| AI in consumer electronics and service science |
| Applied intelligent systems and domain specific applications |
| Agent-based approach and multi-agent systems |
| Robotics and automation |
| Abstract: |
Advances in AI and robotics research provide a lot of benefits to consumer electronics and service science. For example, reasoning under uncertainty, machine learning, data mining, multi agent systems, and human-robot/agent interaction may be key technology for sophisticated service oriented computing and brilliant applications for consumer electronics. In this session, every advanced AI and/or robotics technology, especially the following research topics on practical AI and robotics applications are encouraged. |
OS-DTA: Drone Technology & Its Applications
| Chair: | Worawat Choensawat, TH (Bangkok University) |
| Co-Chairs: | Kosuke Takano, JP (Kanagawa Institute of Technology) |
| Kingkarn Sookhanaphibarn, TH (Bangkok University) |
| PANAPONG SONGSUKTHAWAN, TH (Bangkok University) |
| Keywords: |
Commercial drone applications |
| Smart cities and logistics |
| UAV technologies |
| Autonomous navigation and control |
| AI and data-driven drone applications |
| Abstract: |
As drone (UAV) technology continues to advance, its applications are being expanded across diverse commercial and industrial domains. This special session, “Drone Technology and Applications (DTA),” is intended to provide an inclusive platform for presenting research and practical contributions in areas such as drone systems, navigation and control, communication, AI and data-driven techniques, and integrated platforms. Application-oriented studies are particularly encouraged, including precision agriculture, infrastructure and asset inspection, logistics and delivery, environmental monitoring, smart city analytics, media and creative industries, tourism, and industrial operations. Submissions may include theoretical research, prototypes, simulations, system integration, field deployments, and case studies, as well as interdisciplinary work, industry collaborations, and early-stage research with commercial potential. |
OS-ISS: Intelligent Systems for Sustainable Living: Robotics, AI, and IoT Applications
| Chair: | Tanima Bhowmik, IN (Institute of Engineering & Management) |
| Co-Chairs: | Wataru Uemura, JP (Ryukoku University) |
| Keywords: |
AI-Enabled Consumer Electronics |
| IoT and Smart Devices |
| Embedded Systems & Edge Computing |
| Autonomous Mobile Robots (AMR) and Navigation |
| Human-Robot Interaction |
| Abstract: |
The rapid advancement of AI, IoT, and robotics is transforming modern consumer electronics. This session focuses on innovations enabling smarter, sustainable devices, highlighting interdisciplinary research in smart homes, wearable healthcare, and sensing systems. Notably, we welcome practical research derived from robotics competitions like RoboCup, focusing on service robots, autonomous navigation, and human-robot interaction in domestic and industrial environments (e.g., Autonomous Mobile Robots: AMR). By bringing together researchers and practitioners, this session aims to present cutting-edge developments and foster collaboration toward next-generation intelligent systems, providing a platform for knowledge exchange on both theoretical and practical implementations. |
OS-ITS: Intelligent Transport Systems
| Chair: | Tomotaka Wada, JP (Kansai University) |
| Co-Chairs: | Masahiro Fujii, JP (Utsunomiya University) |
| Naohisa Hashimoto, JP (National Institute of Advanced Industrial Science and Technology) |
| Keywords: |
Intelligent vehicle, smart vehicle and connected vehicle |
| Personal mobility and smart mobility |
| Communications, networks, sensing and image processing |
| Human machine interaction and Infra cooperative system |
| ITS development and societal challenges for smart city |
| Abstract: |
Intelligent Transport Systems (ITS) are important systems utilizing synergistic technologies and systems integration engineering concepts to develop and improve various kinds of transport systems. ITS systems will lead to fundamental breakthroughs in safety, congestion reduction, driving comfort, and environmental friendliness, bringing them to levels far higher than those provided by current transport systems in near future. Smart City is also discussed by ITS recently. Many researchers and engineers advance the theoretical, simulated, experimental, and operational aspects of Electrical and Electronics Engineering, and Information and Communication Technologies as applied to ITS. The objective of this organized session is to discuss up to date research results concerned with ITS. |
OS-MSE: Maritime System Engineering
| Chair: | Koji Murai, JP (Tokyo University of Marine Science and Technology) |
| Co-Chairs: | Jun Kayano, JP (Tokyo University of Marine Science and Technology) |
| Keywords: |
Human centered system |
| non-Technical Skill |
| Kansei |
| Navigation |
| Seafarer |
| Abstract: |
In the maritime industry, measures to address the declining birthrate and aging population, as well as work-style reforms, are the most important. Research on autonomous ship operation is one such challenge and is attracting significant attention.
This organized session focuses on the “Human” who operates the ship and the “System” that supports safe navigation, and Future effective technology for human centered transportation system. |
OS-VID: In-Vehicle Interaction Design for Diverse User Needs
| Chair: | Zixin Cui, JP (University of Tsukuba) |
| Co-Chairs: | Huiping Zhou, JP (Japan Automobile Research Institute) |
| Keywords: |
Human-Centered In-Vehicle Interaction Design |
| Diverse User Characteristics in Automotive Use |
| Interaction Design for Diverse User Needs |
| Interaction Fit under Diverse User Capabilities |
| Inclusive Interaction Design Across Diverse Driving Scenarios |
| Abstract: |
As vehicles are increasingly used by people with diverse characteristics, capabilities, roles, and usage scenarios, in-vehicle interaction design must address a wide range of user needs. This organized session welcomes research on human-centered in-vehicle interaction design with a particular emphasis on user diversity in automotive contexts. The session explores how appropriate interaction fit can be achieved under diverse user capabilities, such as variations in perception, cognition, and attention, and how driving assistance systems can better support heterogeneous user needs. By addressing inclusive interaction design across different driving scenarios, this session aims to promote automotive systems that adapt to diverse users rather than forcing users to adapt to technology. |
OS-CBS: Recent Advancements in Cyber Security
| Chair: | Shingo Yamaguchi, JP (Yamaguchi University) |
| Co-Chairs: | Brij B. Gupta, TW (Asia University) |
| Keywords: |
Cyber security |
| Forensics |
| Privacy |
|
|
| Abstract: |
As consumer technology, from smart home devices to wearables, rapidly evolves and integrates into daily life, cybersecurity becomes an increasingly vital requirement for modern society. When interconnected personal systems are compromised, daily operations are severely disrupted. Understanding cyber risks and developing effective security frameworks for these ubiquitous consumer devices remain significant challenges. Trustworthy consumer technology benefits individual privacy and strengthens broader public safety. This special session provides a premier international platform to discuss recent challenges, developments, and real world best practices. Participants will have a highly valuable opportunity to present innovative ideas and interact with pioneering researchers in consumer cybersecurity. |
OS-CPS: Smart Cyber-Physical Systems & Security
| Chair: | Qian Wu, JP (Hosei University) |
| Co-Chairs: | Arata Koike, JP (Tokyo Kasei University) |
| Xiaodong Lu, JP (Electronic Navigation Research Institute) |
| Atsushi Kanai, JP (Hosei University) |
| Toru Kobayashi, JP (Komazawa University) |
| Shigeaki Tanimoto, JP (Japan International 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-PSA: Privacy-Preserving and Secure Artificial Intelligence for Consumer IoT Systems
| Chair: | Pooja Chaudhary, IN (Vellore Institute of Technology) |
| Co-Chairs: | Somya Ranjan Sahoo, IN (Vellore Institute of Technology) |
| Ankit Kumar Jain, IN (National Institute of Technology Kurukshetra) |
| Keywords: |
Privacy-preserving AI |
| Secure artificial intelligence |
| Consumer IoT security |
| Federated learning for IoT |
| Secure sensing and analytics |
| Abstract: |
The integration of Artificial Intelligence (AI) into Consumer Internet of Things (CIoT) systems has introduced new challenges in ensuring data privacy, model security, and reliable decision-making in distributed and resource-constrained environments. Unlike conventional cybersecurity approaches, consumer IoT applications require tightly coupled solutions that address privacy leakage during data collection, model training, and inference. This Organized Session focuses on technical advances in privacy-preserving and secure AI, including federated learning, edge intelligence, secure model deployment, and adversarial robustness in consumer IoT settings. The session aims to explore architectures and methodologies that enable trustworthy, secure, and efficient AI-driven consumer systems in real-world deployments. |
OS-TRI: Trusted & Resilient Residential Prosumer Infrastructure and Consumer Services
| Chair: | Michael Eckel, DE (Fraunhofer SIT | ATHENE Center) |
| Co-Chairs: | Georgios Gkoktsis, DE (Fraunhofer SIT | ATHENE Center) |
| Anirban Basu, UK (University of Sussex) |
| Keywords: |
Hardware roots of trust for smart home energy devices (TPM, DICE, TEEs) |
| Secure device identity, authentication, and trust establishment in HEMS ecosystems |
| Remote attestation for distributed energy resources and demand-response scenarios |
| Secure lifecycle management: SBOMs, reference values, and attested firmware/software updates |
| Crypto-agility and resilient architectures for long-lived home energy appliances |
| Abstract: |
Smart home energy systems, e.g. solar inverters, home batteries, EV chargers, smart meters, and HEMS controllers, are increasingly central to grid stability and consumer energy independence. Yet many home-energy protocols and ecosystems lack comprehensive security specifications, leaving device integrity and trust underaddressed. This session invites contributions on hardware-anchored trust and cyber-resilience for smart home energy devices: roots of trust (TPM/DICE/TEEs), secure device identity and authentication, remote attestation for demand-response scenarios, secure lifecycle management (SBOM, attested updates), crypto-agility for long-lived appliances, and architectural patterns for integrating hardware security into existing ecosystems. |
OS-TSS: Trustworthy Smart Systems (Trustworthy AI, IoT, and Cybersecurity by Design for Smart Life and ESG Systems (Health, Education, Energy))
| Chair: | Thattapon Surasak, TH (King Mongkut's University of Technology North Bangkok) |
| Co-Chairs: | Porawat Visutsak, TH (King Mongkut's University of Technology North Bangkok) |
| Min-Te Sun, TW (National Central University) |
| Scott C.-H. Huang, TW (National Tsing Hua University) |
| Yi-Ju Tseng, TW (National Yang Ming Chiao Tung University) |
| Keywords: |
Trustworthy AI and model governance for smart systems |
| IoT and edge intelligence for Smart Life applications |
| Cybersecurity by design, zero trust, threat modelling |
| Energy-aware AI and sustainable IoT for Smart Energy and ESG |
| Applied systems: smart healthcare, smart education, smart home |
| Abstract: |
Consumer-grade smart systems are rapidly expanding across smart healthcare, smart education, smart homes, and smart energy, while trust, safety, privacy, and sustainability remain persistent barriers to real-world adoption. This Organized Session focuses on trustworthy smart systems by integrating artificial intelligence, IoT and edge intelligence, cybersecurity by design, and auditable governance mechanisms to support ESG-oriented deployment. Submissions are invited on secure and privacy-preserving data pipelines, robust learning and model governance, resilient architectures, interoperable platforms, threat modelling and zero-trust patterns, energy-aware AI and IoT optimisation, and deployment studies that demonstrate measurable impact on safety, efficiency, and sustainability in real environments. |
OS-AHC: Algorithm-Hardware Co-design for Emerging AI Models and Applications
| Chair: | Yirong Kan, JP (Nara Institute of Science and Technology) |
| Co-Chairs: | Renyuan Zhang, CN (Yunnan University) |
| Guang Shi, CN (Yunnan University) |
| Keywords: |
Algorithm-hardware co-design |
| Emerging hardware technologies for AI |
| Emerging computing paradigms for AI |
| Efficient AI model design |
| Efficient AI systems |
| Abstract: |
Algorithm-hardware co-design is emerging as a key enabler for advancing next-generation AI models and applications. With the rapid evolution of AI-enabled consumer electronics, there is a growing need for integrated design methodologies that bridge algorithmic innovation and hardware realization. By jointly optimizing AI algorithms, data representations, computing paradigms, and hardware architectures, this approach can significantly improve performance, energy efficiency, and scalability across diverse AI scenarios. The session welcomes contributions on topics including AI accelerators, neuromorphic computing, in-memory computing, efficient AI model design, and application-driven system optimization. We particularly encourage submissions that demonstrate how co-design can enable efficient, scalable, and practical intelligent computing systems. |
OS-ASP: Circuit & System Design for Intelligent Edge Computing & Advanced Signal Processing Technologies
| Chair: | Chih-Peng Fan, TW (National Chung Hsing University) |
| Co-Chairs: | Yu-Cheng Fan, TW (National Taipei University of Technology) |
| Wan-Jung Chang, TW (National Kaohsiung University of Science and Technology) |
| Keywords: |
Artificial intelligence and learning based design |
| Intelligent edge computing |
| Advanced signal processing technologies |
| Advanced image processing technologies |
| Edge-based deep-learning hardware acceleration |
| Abstract: |
In recent years, the AI-based deep-learning digital image processing and advanced signal processing technologies have revealed the extreme significance in smarter consumer products. To develop intelligent consumer-electronics technologies for the next-generation autonomous vehicles and smarter home/life products, the intelligent edge devices must strengthen their edge computing capability dramatically by using advanced and effective signal processing methodologies, which will involve the deep-learning based object detection and classification technologies, hardware-based deep-learning accelerator design, advanced edge-based digital image processing technology, advanced edge-based digital signal design and analysis technology, etc. By using the intelligence and emerging edge computing based circuit and system designs, the next-generation consumer-electronics products will effectively raise and expand the application fields in our daily life. |
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 (National Institute of Information and Communications Technology) |
| Keywords: |
ECHONET Lite |
| IoT Smart Home |
| Energy Management System |
| Communication Interface |
| Devices and Systems |
| 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-ICT: IoT & Image Processing Applications to Consumer Technologies
| Chair: | Thi Thi Zin, JP (University of Miyazaki) |
| Co-Chairs: | Hiromitsu Hama, JP (Osaka Metropolitan University) |
| Keywords: |
Advanced Image Processing and Intelligent Vision Systems |
| Deep Learning and Edge AI Applications |
| Digital Twin Technologies for Smart Consumer Systems |
| Internet of Things (IoT) and Smart Applications |
| Healthcare Technologies and Medical Imaging |
| Abstract: |
Rapid advances in artificial intelligence (AI), the Internet of Things (IoT), and edge computing are transforming modern society and enabling smarter and more connected environments across a wide range of domains, including consumer electronics, smart manufacturing, and digital agriculture. These developments are supported by increasingly advanced communication infrastructures that enable real-time data acquisition, large-scale connectivity, and intelligent data processing. In this context, image technologies play a crucial role as key enablers for intelligent perception and data-driven applications. This session focuses on recent advances in image technologies integrated with IoT systems, AI techniques, and edge computing platforms. Contributions addressing both theoretical foundations and practical implementations are welcomed, including fundamental technologies, intelligent image processing methods, and innovative applications for next-generation smart systems. |
OS-SCL: Emerging Advanced Technologies for Smart City/Township & Intelligent Logistics
| Chair: | Liang-Bi Chen, TW (National Penghu University of Science and Technology) |
| Co-Chairs: | Ya-Ling Kao, TW (National Penghu University of Science and Technology) |
| Szu-Yu Kuo, TW (National Kaohsiung University of Science and Technology) |
| Shih-Hsiung Lee, TW (National Kaohsiung University of Science and Technology) |
| August Chao, TW (National Penghu University of Science and Technology) |
| Keywords: |
Artificial intelligence (AI) |
| Smart city / township |
| Internet of things (IoT) |
| Intelligent logistics |
| Intelligent transportation |
| Abstract: |
Nowadays, many emerging advanced technologies such as artificial intelligence (AI) and the Internet of things (IoT) are critical techniques adopted in smart city/township and intelligent logistics. Moreover, the ongoing development of intelligent systems and applications promotes or improves existing systems and applications by adopting and integrating emerging techniques (such as service design, big data analysis, cloud, AI, edge computing, and IoT). The result is more convenience and benefits for our life everywhere. In this organized session, any advanced emerging techniques and applications for smart city/township and intelligent logistics are welcome and encouraged to be submitted to this organized session. |
OS-SNA: Smart Sensing and Networking Technologies & Applications for Enhancing Convenient Living and Health Promotion
| Chair: | Ming-Che Chen, TW (National Yunlin University of Science and Technology) |
| Co-Chairs: | Ming-Yi Liao, TW (Southern Taiwan University of Science and Technology) |
| Wan-Jun Chang, TW (National Kaohsiung University of Science and Technology) |
| Keywords: |
Smart sensing & Smart home systems |
| Networking technologies & Telemedicine |
| Convenient living |
| Health promotion |
| AIoT |
| Abstract: |
Smart sensing and networking technologies are emerging as pivotal enablers in transforming everyday living and health management. By integrating advanced sensing devices with robust networking infrastructures, IoT, and artificial intelligence, these technologies facilitate real-time monitoring of both environmental and physiological conditions. This integration paves the way for improved remote health management, proactive lifestyle adjustments, and intelligent automation in smart homes and healthcare settings. The session welcomes contributions that showcase innovative solutions and applications, including wearable health monitors, connected medical devices, smart home systems, telemedicine, and data-driven health analytics. We particularly encourage submissions that demonstrate how the convergence of smart sensing and networking can create seamless, user-centric environments that enhance convenience and promote health. |
OS-ADE: Actual Data Science-based Digital-twin & Engineering for Enhancement of Human Abilities & Social Infrastructure
| Chair: | Sho Takahshi, JP (Hokkaido University) |
| Co-Chairs: | Keisuke Maeda, JP (Hokkaido University) |
| Mitsugu Kakuta, JP (Nippon Sport Science University) |
| Masahiro Yagi, JP (Kanazawa University) |
| Keywords: |
Digital-twin & Data acquisition |
| Geographic information & Global navigation satellite system |
| Sports data analysis |
| Augmented / Mixed reality & Virtual reality |
| Artificial intelligence for actual data |
| Abstract: |
Various techniques have been provided not only electronics devices but also the methods of data analysis such as mainly the machine learning for solving actual problems. In addition, the related researches are also actively progressing in each field, and these advance daily. These techniques and researches enhance human abilities in the traditional process of various works and social infrastructures. Especially, these techniques and research results are applying to solve the problems in the infrastructure management, new mobility systems, and sports training and management etc. This session welcomes all researches and techniques in the field of the above. |
OS-CTG: AI-Driven Consumer Technologies and the Future of Game-Based Interventions
| Chair: | Mustafa Can Gursesli, FI (Tampere University) |
| Co-Chairs: | Ruck Thawonmas, JP (Ritsumeikan University) |
| Antonio Lanata, IT (University of Florence) |
| Ibrahim Khan, JP (Ritsumeikan University) |
| Chenxu Hao, NL (Delft University of Technology) |
| Andrea Guazzini, IT (University of Florence) |
| Keywords: |
Serious games |
| Generative AI |
| Adaptive game systems |
| Gamification |
| Consumer technologies |
| Abstract: |
The rapid evolution of AI-powered consumer technologies is transforming how games are developed, experienced, and applied beyond entertainment. Games are no longer static artifacts but intelligent, adaptive ecosystems integrating generative AI, immersive hardware, biosensors, and multimodal interaction. This special session explores how AI companions, emotion-aware systems, VR/AR platforms, wearable sensors, and adaptive feedback turn games into scalable tools for education, mental health, sustainability, rehabilitation, and behavior change. We invite interdisciplinary research demonstrating technical innovation, empirical validation, and applied impact in areas such as digital therapeutics, immersive learning, and responsible AI-driven game systems. |
OS-HCR: Harmonizing and Manipulating Cognitive Reality through XR Technologies
| Chair: | Keiichi Zempo, JP (University of Tsukuba) |
| Co-Chairs: | Shogo Fukushima, JP (Kyushu University) |
| Yuki Fujita, JP (Tokyo University of the Arts) |
| Shogo Ishikawa, JP (Shizuoka University) |
| Keywords: |
Extended Reality (XR) |
| Cognitive Guidance and Manipulation |
| Acoustic and Non-visual Modalities |
| Cross-modal Perception |
| Human-Computer Interaction |
| Abstract: |
Extended Reality (XR) possesses the profound capability to alter human perception. This organized session, "Harmonizing and Manipulating Cognitive Reality through XR Technologies," focuses on the intersection of cognitive science, sensory manipulation, and immersive environments. Crucially, we emphasize the role of non-dominant modalities—particularly acoustic and other non-visual information—in subtly guiding user cognition without overpowering the primary visual experience. We invite papers exploring how these subtle sensory stimuli can be harmonized with physical realities or manipulated to induce specific perceptual illusions. Topics include cross-modal perception, acoustic information processing, cognitive guidance, and interactive XR system design. |