Special Session

Chairs
Wan-Jung Chang, National Kaohsiung University of Science and Technologyy, TW
Ming-Che Chen, Southern Taiwan University of Science and Technology, TW

Aim and Score
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.

Chairs
Conghui Li, The Open University of Fujian, CN
Chi-Hua Chen, China Medical University, TW

Topic of Interest
The topics of this special session include, but are not limited to, the following:

• Quantum Neural Networks (QNNs) for Consumer Electronics
• Quantum Convolutional Neural Networks (QCNNs) for Consumer Electronics
• Quantum Recurrent Neural Networks (QRNNs) for Consumer Electronics
• Quantum Long Short-Term Memory (QLSTM) Networks for Consumer Electronics
• Quantum Reinforcement Learning (QRL) for Consumer Electronics
• Quantum Generative Adversarial Networks (QGANs) for Consumer Electronics
• Hybrid Artificial Intelligence for Consumer Electronics
• Quantum Optimization for Consumer Electronics

Chairs
Shingo Yamaguchi, Yamaguchi University, JP
Kazuyuki Kojima, Shonan Institute of Technology, JP
Shinji Sugawara, Chiba Institute of Technology, JP

Topic of Interest
This session explores cutting-edge advancements in: IoT: Edge computing, AI integration, and enhanced security. Cybersecurity: AI-driven threat detection, botnet defense, and blockchain applications. Human-Interaction: NLP, voice/gesture recognition, AR/VR interfaces, and their applications in Education. Network: 5G and beyond, network slicing, and SDN.

Chairs
Pei-Jun Lee, National Taiwan University of Science and Technology, TW
Jeih-weih Hung, National Chi Nan University, TW

Topic of Interest
The session welcomes submissions and discussions in areas such as:

• Deep learning for image/video/audio analysis: classification, recognition, segmentation, enhancement, restoration, super-resolution.
• Multimodal deep learning, including large multimodal and foundation models, and multimedia fusion integrating various data types.
• Deep generative models (e.g., diffusion models) for multimedia content creation and enhancement.
• Advanced network architectures (e.g., Transformers and state-space models) and algorithms for multimedia processing tasks.
• Lightweight and efficient models for real-time and on-device multimedia processing.
• Applications in virtual/augmented reality, interactive multimedia.
• Challenges in applying deep learning to large-scale multimedia data.
• Ethical and security issues in AI-driven multimedia technologies, such as deepfake detection and content authenticity.
• Cross-disciplinary and industrial applications in healthcare, education, entertainment, surveillance, and communication.

This comprehensive coverage engages a wide spectrum of deep learning methodologies applied to multimedia and stimulates innovation and collaboration in this rapidly evolving research field.

Chair
Liang-Bi Chen, National Penghu University of Science and Technology, TW

Co-Chair
Ya-Ling Kao, National Penghu University of Science and Technology, TW
Szu-Yu Kuo, National Kaohsiung University of Science and Technology, TW
Shih-Hsiung Lee, National Kaohsiung University of Science and Technology, TW

Topic of Interest

• AIoT architectures and intelligent sensing for smart cities
• Edge and cloud computing for real-time urban data processing
• Intelligent transportation systems (ITS) and cooperative driving
• Autonomous vehicles, V2X, and digital twin technologies
• Smart mobility and multimodal transportation integration
• Urban digital twins and cyber-physical infrastructure management
• 5G/6G and beyond for smart city and transport connectivity
• Intelligent traffic flow monitoring and congestion prediction
• Smart parking, e-tolling, and logistics optimization systems
• Sustainable energy and green mobility solutions
• Urban safety, emergency response, and environmental monitoring
• Human-centric smart city applications and citizen engagement
• Data privacy, security, and ethical issues in smart city systems
• AI-driven decision support for urban planning and policy making
• Case studies and pilot projects in smart city and transportation

Chair
Tian-Hsiang Huang, National Penghu University of Science and Technology, TW

Topic of Interest
We invite high-quality, original research papers that address theoretical, algorithmic, and practical challenges. Topics of interest include, but are not limited to, the following:

• Human-Centric AI & User Interaction
  Human Activity Recognition (HAR), posture tracking, and gesture analysis
  Affective computing, emotion detection, and personalized user profiling
  Privacy-preserving AI, federated learning, and trustable AI for consumer privacy
  Context-aware decision making and explainable AI (XAI) in smart devices
  
• Efficient Edge Intelligence & Algorithms
  On-device deep learning, model quantization, pruning, and knowledge distillation
  Resource-constrained machine learning for IoT and embedded systems
  Edge-cloud collaborative intelligence and adaptive streaming
  Efficient data mining, time-series analysis, and sensor fusion at the edge
  
• Smart Consumer Systems & Applications
  AI-powered Smart Home automation and energy management
  Intelligent wearables, healthcare monitors, and elderly care electronics
  Smart mobility, in-cabin sensing, and infotainment consumer systems
  Novel AIoT architectures and industrial design for next-generation consumer electronics
  

Chair
Shao Chang Huang, Vanguard International Semiconductor Corporation, TW

Topic of Interest
Failure analyses, reliability evaluations, measurements, processes, and designs are fundamental for one Consumer IC creation. Once IC is fabricated well, and then, it can be well applied for AI operations. The topics could be as the below:

• Consumer IC failure analyses
• Consumer IC measurements
• Consumer IC reliabilities
• Consumer IC processes
• Consumer IC devices
• Consumer IC designs

Chairs
Wen-Hwa Liao, National Taipei University of Business, TW
Chih-Yung Chang, Tamkang University, TW

Co-Chairs
Wan-Chi Yang, National Taipei University of Nursing and Health Sciences, TW
Wu-Chun Chung, Chung Yuan Christian University, TW

Topic of Interest
architecture and system design for dependability, error detection, correction, and recovery, fault-tolerant algorithms, cryptography, dependability issues in consumer systems (e.g. embedded systems, smart devices, computer networks and communications, Internet-of-Things, cloud computing, cyber-physical systems, blockchain and smart contracts, medical care and welfare), dependable applications and services, and case studies.

Chair
Saher Javaid, Kanazawa Gakuin University, JP

Topic of Interest
Topics of interest include, but are not limited to:

• Artificial Intelligence and Machine Learning for Smart Energy Systems
• Distributed Computing and Distributed Intelligence for Energy Management
• Internet of Things (IoT) for Smart Grids and Energy Networks
• Renewable Energy Integration and Forecasting
• Energy Storage Systems and Battery Management
• Distributed Energy Resources (DERs) Coordination and Optimization
• Multi-Agent Systems and Cooperative Energy Management
• Demand Response and Intelligent Load Management
• Energy Efficiency and Demand-Side Management
• Microgrid Stability, Control, and Optimization
• Digital Twins and Cyber-Physical Energy Systems
• Energy Trading and Peer-to-Peer Energy Sharing
• Disaster-Resilient Energy Management and Emergency Power Supply
• Experimental Validation and Testbeds for AI-Enabled Energy Systems

Chair
Masaru Fukushi, Yamaguchi University, JP

Co-Chair
Yota Kurokawa, Yamaguchi University, JP
Yasuyuki Miura, Shonan Institute of Technology, JP
Masato Kitakami, Chiba University, JP
Kazuteru Namba, Chiba University, JP
Haruhiko Kaneko, Institute of Science Tokyo, JP

Topic of Interest
Areas of interest include, but are not limited to, the following topics:

• AIoT Applications of Homecare and Childcare
• AIoT Applications of Smart Parking
• AIoT Applications of Smart Campus and Learning
• AIoT Applications of Wearable Devices
• AIoT Applications of Intelligent Transportations
• AIoT Applications of Autonomous Vehicles
• AIoT Applications of Localization
• Architectures and Platforms for AIoT
• Sensing Technologies for AIoT
• Communication Technologies for AIoT
• Middleware Technologies for AIoT
• Security Technologies for AIoT
• Applications and Services for AIoT
• Architecture, System and Algorithm Designs for AIoT

Chair
Masami Yoshida, Ritsumeikan University, JP
Takahisa Fukui, Sharp Corporation, JP

Topic of Interest

1. Human Factors in ICT Services
   
   • QoE evaluation, measurement, and optimization
   • Subjective/objective assessment, psychological measurement, and brain/biometric sensing
   • Behavioral modeling, behavior change, and computational social science
2. Performance of ICT Services
   
   • Multisensory media, haptics, XR/6DoF, and interactive services
   • AI-driven network control, teleoperation, and connected/autonomous vehicles
3. Understanding, Design, and Management of Social Communication Systems
   
   • IoT/M2M, smart cities, V2X, and cyber-physical communication systems
   • Social networks, information diffusion, the metaverse, and digital twins
4. Network Performance
   
   • Fairness, reliability, traffic management, and anomaly detection
   • Edge computing, offloading, load balancing, and information-centric networking (ICN)
5. Wireless Communication Quality: Evaluation, Measurement, and Control
   
   • Communication quality in mobile, wireless LAN, and sensor networks
   • Radio resource allocation and spectrum/energy efficiency

Chair
Thi Thi Zin, University of Miyazaki, JP
Pyke Tin, University of Miyazaki, JP

Topic of Interest
Topics of interest include, but are not limited to:

1. Artificial Intelligence and Advanced Imaging
   
   • Deep learning for image and video recognition, detection, segmentation, and tracking
   • Advanced computer vision and multimodal image analysis
   • Statistical, stochastic, and explainable AI for intelligent perception
   • Human and animal behavior analysis using imaging and sensor data
2. Intelligent Sensing, IoT, and Edge Computing
   
   • IoT-enabled imaging and intelligent sensing for connected devices
   • Edge AI and lightweight models for embedded and consumer devices
   • Real-time visual analytics and on-device decision-making
3. Smart and Sustainable Applications
   
   • Smart homes, assistive living, and consumer monitoring systems
   • Industrial inspection and automated visual quality control
   • Smart agriculture, precision livestock farming, and environmental sensing
   • Smart cities and sustainable resource monitoring
4. Healthcare and Life Science Applications
   
   • AI-assisted medical and biomedical imaging
   • Remote health monitoring, wearable devices, and connected care
   • Physiological signal analysis and human behavior monitoring
   • Predictive healthcare and personalized well-being technologies
5. Data Science and Digital Twin Technologies
   
   • Multimodal fusion of image, video, and IoT sensor data
   • Scalable analytics for intelligent and connected systems
   • AI-enabled digital twins for monitoring, simulation, and prediction
   • Interpretable predictive modeling and intelligent decision support