Special Session

Co-Chairs
Ming-An Chung, National Taipei University of Technology, TW
Yue-Fang Kuo, Yuan Ze University, TW

Aim and Scope
This Special Session aims to bring together researchers, educators,and industry practitioners to explore the convergence of artificialintelligence, innovative engineering, and open-source designtechnologies to advance intelligent infrastructure and engineeringeducation. The session focuses on how AI-driven vision, sensing,and optimization methods can enhance safety, reliability, andautomation in intelligent transportation systems—such as railwaymonitoring and defect detection—while open-source EDA anddesign platforms can democratize innovation in integrated circuitand system design education. Topics of interest include AI-basedsignal and image processing, intelligent sensing and control systems,generative and lightweight neural architectures, open-sourcehardware and software tools, and innovative educational frameworks that integrate these emerging technologies. By fostering interdisciplinary discussion, this session seeks to bridge the gap between research and practice, empowering next-generation engineers to design more innovative, safer, and more sustainable systems.

Topic of Interest

• AI-based vision and sensing systems for smart infrastructure and transportation
• Intelligent railway monitoring, defect detection, and safety enhancement
• Deep learning and generative AI models (e.g., YOLO, GAN, diffusion models) for engineering applications
• Lightweight neural networks and edge-AI deployment in embedded or IoT environments
• Open-source EDA tools for full-custom IC layout, verification, and circuit design education
• Integration of AI algorithms into hardware design and system-level optimization
• Smart engineering systems for sustainable and resilient infrastructure
• Innovative educational methodologies for AI and open-source design platforms
• Human-centered and socially responsible AI applications in engineering practice
• Case studies and practical implementations bridging academia and industry
• Consumer Electronic IC Designs, Devices, Processes, Reliabilities, Measurements, Failure Analyses and AI Applications
• Smart System and Its Applications
• Artificial Intelligence of Consumer Electronics in Smart Life

Co-Chairs
Dan Tao, Beijing Jiaotong University, CN
Ruipeng Gao, Beijing Jiaotong University, CN
Peng Qi, Beijing Jiaotong University, CN
Muyan Yao, Beijing Jiaotong University, CN
Tin-Yu Wu, National Pingtung University of Science and Technology, TW

Aim and Scope
The special session on “Artificial Intelligence & Internet of Things” aims to explore the transformative synergy between these two pivotal technological domains. The advent of IoT deployments has given rise to an explosion of data, emanating from a plethora of sensors and devices. In this context, Artificial Intelligence has emerged as a pivotal catalyst, facilitating the transformation of this voluminous raw data into actionable intelligence, autonomous decision-making processes, and innovative services. The purpose of this session is to present original research and development in the field of ubiquitous sensing and cognitive computing. The objective is to identify high-quality contributions that demonstrate novel architectures, algorithms, and integrated systems where machine learning, deep learning, and other AI techniques are fundamentally enhancing the capabilities of IoT ecosystems.

Topic of Interest

• TinyML, Embedded AI, and On-Device Intelligence: Algorithms and models optimized for resource-constrained IoT devices.
• Intelligent Sensor Fusion and Data Processing: Leveraging AI to integrate and interpret multi-modal data from diverse IoT sources.
• AI-enabled IoT Applications: Case studies and frameworks in smart cities, industrial IoT (IIoT), digital health, precision agriculture, and environmental monitoring.
• AI for IoT Network Management: Intelligent resource allocation, network slicing, traffic optimization, and self-healing networks.
• Generative AI and Large Language Models for IoT: Applications in synthetic data generation, system design, device management, and human-IoT interaction.

Co-Chairs
Fityanul Akhyar, Universiti Tunku Abdul Rahman, MY
Isack Farady, Yuan Ze University, TW

Aim and Scope
The aim of the Signal Processing for Intelligent Systems (SPIS) special session is to create a forward-looking forum that showcases emerging research in signal processing as a core enabler of sustainable, trustworthy, and human-centered AI solutions in consumer electronics. This session emphasizes the development of intelligent systems that not only push technological boundaries but also prioritize user well-being, ethical operation, energy efficiency, and environmental responsibility. It seeks to unify researchers and practitioners across academia and industry to explore how advanced signal processing can support multimodal perception, robust decision-making, and seamless interaction between humans and intelligent devices.

By promoting interdisciplinary dialogue, the session aspires to advance technologies that improve everyday life, enhance safety and accessibility, and foster long-term societal benefits through responsible innovation. Furthermore, the session aims to bridge theoretical advances with real-world implementation, encouraging contributions that lead to practical, scalable, and impactful consumer electronic systems.

The scope of the SPIS special session covers a broad range of contributions that integrate advanced signal processing techniques with human-centered AI and sustainable system design. The session invites research that explores new algorithms, architectures, and applications that strengthen the intelligent capabilities of consumer devices while ensuring transparency, inclusiveness, security, and ecological responsibility. Contributions may span foundational theories, algorithmic innovations, system-level design, hardware optimization, and application-driven implementations. Works that demonstrate effective collaboration between AI models and multimodal sensing technologies, or that propose solutions for real-world constraints such as limited resources, user variability, or security risks, are particularly encouraged. The session also welcomes practical studies, benchmarks, case analyses, and industrial perspectives that highlight the challenges and opportunities in delivering sustainable intelligent systems at scale. By incorporating perspectives from transportation, healthcare, agriculture, urban development, industrial inspection, and beyond, the session supports a holistic view of how consumer electronics can integrate into a smarter, safer, and more sustainable society.

Topic of Interest

1. Foundations for Intelligent and Sustainable Systems
   
   • Signal processing, control systems, and mathematical modelling
   • Energy-efficient algorithms and low-power computation for consumer devices
   • Sustainable system design and resource-aware machine learning
2. Human-centered AI and Multimodal Intelligence
   
   • AI, machine learning, deep learning for personalized and user-adaptive electronics
   • Computer vision, image processing, document analysis for human-focused applications
   • Natural Language Processing (NLP) for intuitive human–device interaction
   • Ethical, safe, and interpretable AI for consumer products
3. Intelligent Sensing and Perception
   
   • Machine perception using camera, LiDAR, radar, and multimodal sensor fusion
   • Sensing technologies for autonomous, assistive, and smart consumer systems
   • Context-awareness and real-time environment understanding
4. Smart Mobility and Transportation
   
   • Intelligent Transportation Systems (ITS) and sustainable mobility solutions
   • Perception, control, and communication for autonomous vehicles
   V2X and connected-vehicle technologies enhancing human safety and user
   • experience
5. Embedded, Connected, and Secure Consumer Systems
   
   • Electronics and embedded architectures for intelligent devices
   • Internet of Things (IoT) and edge computing for smart homes and cities
   • Telecommunication, 5G/6G signal processing, and network optimization
   • Cybersecurity, cloud security, and advanced hashing for protecting consumer data
6. Application-driven Human-centered Technologies
   
   • Health informatics and well-being applications in consumer electronics
   • Smart cities and smart agriculture systems for sustainable societal
   development
   • Data-driven systems for safety, accessibility, and personalized services
7. Industrial Inspection for Safer and Sustainable Products
   
   • Vision and sensor-based inspection for quality control in manufacturing
   • Defect detection, predictive maintenance, and automation for greener production
   • AI-driven inspection systems enabling sustainable manufacturing of consumer electronics

Co-Chairs
Samsul Huda, Okayama University, JP
Shunsuke Araki, Kyushu Institute of Technology, JP
Yasuyuki Nogami, Okayama University, JP

Aim and Scope
This special session focuses on advanced cryptography and its applications in enhancing security for consumer electronics. It covers several crucial domains including post-quantum cryptography for resistance against future quantum computer attacks, innovative cryptosystems beyond traditional encryption, efficient cryptographic implementations for resource-constrained devices, foundational security aspects of blockchain technologies, privacy-enhancing technologies for safeguarding user data and communications and addressing security challenges at the intersection of machine learning, AI, and cryptography. By gathering together experts to discuss these cutting-edge topics, the session aims to drive forward research and innovation in cryptography, ultimately leading to more secure and privacy-preserving digital systems and consumer devices in today's complex technological environment.

Topic of Interest

• Cryptography and Secure Communication in IoT
• AI/ML-Based IoT Security Solutions
• Blockchain Technology for Securing IoT Networks
• Intrusion Detection and Prevention Systems for IoT
• IoT Security Standards and Policies
• Privacy-Enhancing Technologies for IoT
• IoT Security in Specific Domains (e.g., Healthcare, Smart Homes, Industrial IoT)
• Security Architectures and Models for IoT
• Secure Firmware and Software Updates for IoT Devices
• Case Studies: Real-World Applications of IoT Security Solutions

Co-Chairs
Isack Farady, Yuan Ze University, TW
Kahlil Muchtar, Universitas Syiah Kuala, ID

Aim and Scope
We invite submissions detailing the latest theoretical work, novel algorithms, and ongoing projects across intelligent visual computing. A special focus is placed on the transformative role of large models, multimodal learning, and the deployment of the newest AI models in multi and cross-knowledge domains for real-world application.

Topic of Interest

• Object Detection and Tracking
• Industrial Automation
• Efficient and Edge AI
• AI Security and Networking
• Computer Vision in Healthcare and Medical Imaging
• Multimodal Large Language Models
• AI Applications in Cross-Domain Scenarios
• Generative Models for Visual Content
• 3D Vision, Robotics, and Embodied AI

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

Aim and Scope
The session aims to provide a platform for researchers and practitioners to present and discuss recent advances in integrating deep learning techniques with multimedia processing. It focuses on intelligent multimedia analysis, enhancement, generation, and understanding, with the goal to advance academic and industrial applications driven by AI. The scope covers deep learning methods tailored to multimedia challenges including image, video, audio, text processing, multimodal fusion, and AI-based content synthesis and improvement.

Topic of Interest

• Deep learning for image/video/audio analysis: classification, recognition, segmentation, enhancement, restoration, super-resolution.
• Multimodal deep learning and multimedia fusion integrating various data types.
• Deep generative models for multimedia content creation and enhancement.
• Advanced network architectures and algorithms for multimedia processing tasks.
• 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.
• 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.

Co-Chairs
Kai-Yi Chin, Soochow University, TW
Wen-Chuan Wu, National Ilan University, TW

Aim and Scope
With the rapid advancement of intelligent technologies, various research fields are actively integrating artificial intelligence (AI) into their applications to enhance innovation and efficiency. Among these, multimedia and education stand out as key domains where AI-driven applications are reshaping learning experiences, content creation, and interactive systems. Therefore, the goal of this special session is to explore the latest developments in AI applications for multimedia and education, fostering in-depth discussions on system design, educational implementation, and their broader impacts. We sincerely invite scholars, researchers, and industry experts engaged in education, multimedia, and AI applications to share their research findings and practical experiences. Through this event, we seek to facilitate academic exchange, inspire interdisciplinary collaboration, and drive the further advancement of AI applications in multimedia and educational technologies.

Topic of Interest

• AI-driven multimedia content generation and enhancement
• Intelligent tutoring systems and adaptive learning technologies
• AI-powered virtual and augmented reality for education
• Natural language processing (NLP) for educational applications
• AI-assisted assessment and personalized learning analytics
• Human-AI interaction in multimedia learning environments
• AI applications in gamified learning and digital storytelling
• Ethical considerations and challenges in AI-driven educational tools
• Artificial Intelligence (AI) for Visual Processing and Applications

Chair
Kanoksak Wattanachote, Mahidol University, TH

Aim and Scope
The convergence of consumer electronics, artificial intelligence, and healthcare is revolutionizing personal wellness and medical diagnostics. This paradigm shift, however, introduces critical challenges at the intersection of data security, user privacy, reliable sensing, and clinical collaboration. This special session aims to explore the development of human-centered and secure AI systems that leverage ubiquitous consumer technologies and clinical data for healthcare applications, with a focus on enhancing the partnership between patients and providers.

We will focus on three pivotal fronts:

1. Intelligent Sensing and Diagnostics: Utilizing signals from consumer devices (e.g., Wi-Fi, cameras) and clinical tools (e.g., intraoral scanners, medical imagery) for privacy-aware health monitoring and automated diagnostic support.
2. Data Integrity and Security: Combating emerging threats like deepfakes and other AI-generated synthetic media that could compromise telemedicine, electronic health records, AI-driven treatment simulations, and digital identity.
3. Human-AI Collaboration and Decision-Sharing: Designing AI systems that augment rather than replace professional expertise, enabling shared decision-making in clinical settings (e.g., co-creating treatment plans in dentistry), ensuring transparency, trust, and patient autonomy.

The session will bring together researchers from signal processing, cybersecurity, biomedical engineering, and human-computer interaction to discuss innovative solutions that are not only technologically advanced but also ethically sound, secure, and truly human-centric.

Topic of Interest

1. AI-powered Healthcare Sensing with Ubiquitous Signals:
   
   • Human Activity Recognition and Fall Detection using Wi-Fi/Radio Frequency (RF) sensing.
   • Contactless Monitoring of Vital Signs (respiration, heart rate) using consumer devices.
   • AI models for Wi-Fi CSI (Channel State Information) and RSSI (Received Signal Strength Indicator) analysis for health applications.
2. Security and Privacy in Digital Health:
   
   1. Deepfake Detection and Multimedia Forensics for securing telemedicine platforms.
   2. Authentication and integrity verification of medical data and diagnoses.
   3. Privacy-preserving AI for healthcare data analysis (Federated Learning, Differential Privacy).
3. Integrated and Human-Centered AI Systems:
   
   • Multimodal fusion of sensor data (Wi-Fi, camera, audio) for robust health diagnostics.
   • Explainable AI (XAI) for building trust in AI-driven health recommendations.
   • Low-power and sustainable AI models for edge computing in consumer health devices.
   • AI-driven clinical decision support and shared decision-making systems (e.g., for treatment planning in dentistry).

Co-Chairs
Liang-Bi Chen, National Penghu University of Science and Technology, TW
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
August Chao, National Penghu University of Science and Technology, TW

Aim and Scope
The Special Session on “Emerging Advanced Technologies and Applications for Smart City and Intelligent Transportation” aims to provide an interdisciplinary platform for researchers, engineers, and practitioners to present and discuss the latest innovations, trends, and challenges in the development of next-generation smart city infrastructures and intelligent transportation systems. This session focuses on how AI, IoT, edge computing, cloud intelligence, 5G/6G communication, and sensing technologies can be integrated to enhance urban resilience, traffic efficiency, environmental sustainability, and public safety. It welcomes contributions addressing both theoretical advances and practical implementations, including system architectures, data analytics, and real-world applications that accelerate the realization of connected, adaptive, and human-centric cities. The session also encourages studies that highlight synergies between smart mobility and urban intelligence, including smart parking, autonomous vehicles, intelligent traffic management, multimodal transport systems, and green mobility solutions — fostering sustainable and livable urban futures aligned with the UN SDGs.

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

Co-Chairs
Jin Nakazato, Tokyo University of Science, JP
Masami Yoshida, Ritsumeikan University, JP

Aim and Scope
Future communication systems—including beyond-5G/6G networks, large-scale IoT, edge–cloud platforms, and immersive media services—require advanced mechanisms to ensure QoS and enhance QoE in dynamic environments. This session aims to discuss emerging models, architectures, measurement methods, and control techniques that enable reliable, efficient, and user-centric communication services. We welcome contributions that deepen the understanding of QoS/QoE, introduce novel system designs, or demonstrate practical implementations and evaluations for next-generation communication systems.

Topic of Interest

• QoE evaluation, measurement, and optimization
• Human factors, subjective/objective assessment, and biometric/psychological sensing
• Behavioral modelling and computational social science
• Multisensory media, haptics, XR/6DoF, and interactive services
• AI-driven network control, teleoperation, and connected/autonomous vehicles
• IoT/M2M, smart cities, V2X, and cyber-physical communication systems
• Metaverse, virtual environments, and digital twins
• Network performance: fairness, reliability, traffic management, and anomaly detection
• Edge computing, offloading, load balancing, and ICN architectures
• Wireless communication quality, radio resource allocation, and spectrum/energy efficiency

Co-Chairs
Masaru Fukushi, 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
Yota Kurokawa, Yamaguchi University, JP

Aim and Scope
As consumer systems and applications have permeated into all aspects of our daily lives, dependability has become a major concern for developing consumer systems and services that make our lives safer and more comfortable. This organized session discusses the dependability issues in the variety of elements related to consumer systems and applications, ranging from computing devices and Internet services.

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 / Japan Advanced Institute of Science and Technology, JP

Aim and Scope
This special session focuses on recent advancements in smart energy systems, renewable energy integration, and energy storage technologies, with an emphasis on the role of AI, IoT in creating resilient and efficient energy networks. Key topics include, but are not limited to:

Topic of Interest
Smart Energy Systems

• Modeling, simulation, and optimization of multi-energy networks and smart grids.
• AI-driven management and control strategies for energy generation, conversion, distribution, and utilization.
• Integration of IoT-enabled devices for real-time monitoring, predictive control, and adaptive load management.

Renewable Energy

• Optimization and integration of hybrid renewable energy sources with smart grids.
• Grid stability, efficiency improvements, and predictive forecasting using AI and IoT.
• Renewable energy harvesting technologies and demand-side management strategies.

Energy Storage Systems (ESS)

• Advanced modeling, control, and safety strategies for ESSs.
• Innovations in storage technologies and hybrid energy storage solutions for microgrids and smart cities.
• Role of ESS in enabling EV integration, flexibility, and grid balancing in intelligent energy systems.

Aim and Scope
The final AI applications need ICs (Integrated Circuits) to implement the goals so ICs are the basic elements. Since this is International Conference on Consumer Electronics-Taiwan, let’s focus on consumer ICs only, not all ICs.

Topic of Interest
One Consumer IC can be achieved by designs, processes, measurements, reliability evaluations, and failure analyses. Then, we can have all the above topics. Once IC is fabricated well, and then, it can be well applied for AI operations. The topics can be as the below:

1. Consumer IC designs
2. Consumer IC devices
3. Consumer IC processes
4. Consumer IC reliabilities
5. Consumer IC tests
6. Consumer IC failure analyses
7. Better with AI linking

Co-Chairs
Shingo YAMAGUCHI, Yamaguchi University, JP
Kazuyuki KOJIMA, Shonan Institute of Technology, JP

Aim and Scope
This special session aims to serve as a multidisciplinary forum for the presentation and discussion of cutting-edge advancements across the interconnected domains of IoT, Cybersecurity, Human-Interaction, and Network technologies, encouraging innovative and interdisciplinary research at their convergence.

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.

Co-Chairs
Shu-Yen Lin, Yuan Ze University, TW
Mao-Ling Chiu, Yuan Ze University, TW

Aim and Scope
The special session “Efficient Signal Processing and Architecture Design for Consumer Electronics” aims to bring together researchers, engineers, and industry practitioners to discuss recent advances in integrated circuits, system architectures, and signal-processing techniques that enable high-performance, energy-efficient, and reliable consumer electronic systems. The session welcomes original contributions spanning VLSI architecture design, fault-tolerant and thermal-aware computation, 3D-IC integration, and Network-on-Chip (NoC) innovations for next-generation embedded platforms.

Topics also include multimedia IC design such as video signal processing, video compression, and image processing circuits, as well as analog/mixed-signal and high-speed serial-link design techniques essential for modern low-power consumer devices. In addition, contributions addressing electromagnetic compatibility (EMC/EMI), array antenna systems, passive microwave structures, power- management ICs, and sensor-chip integration are encouraged. Through this session, we aim to promote cross-disciplinary collaboration and foster the development of system-level and circuit-level solutions that significantly enhance performance, energy efficiency, and robustness in consumer electronics applications.

Topic of Interest

1. VLSI & System Architecture
   
   • VLSI Architecture Design and Algorithm
   • Fault-Tolerant Architecture Design and Algorithm
   • Thermal-Aware 3D-IC System Architecture Design and Algorithm
   • Network-on-Chip (NoC) System Architecture Design and Algorithm
2. Multimedia & Signal Processing ICs
   
   • Video Signal Processing and Compression IC
   • Image Processing IC
3. Analog, Mixed-Signal & High-Speed Circuits
   
   • Analog/Mixed-Signal Integrated Circuit Designs
   • High-Speed Serial Link System Design
   • CMOS Low-Voltage / Low-Power Design Techniques
4. RF, Microwave & Antenna Systems
   
   • Electromagnetic Compatibility (EMC) and Interference (EMI)
   • Array Antenna Systems
   • Passive Microwave Devices and Periodic Structures
5. Power & Sensor Integrated Circuits
   
   • Power Management Chip Design
   • Sensor Chip Design

Co-Chairs
Wai Khuen Cheng, Universiti Teknologi PETRONAS (UTP), MY
Teik Boon Tan, Universiti Tunku Abdul Rahman (UTAR), MY

Aim and Scope
The special session “ESG-Driven Industrial AI & IoT” aims to bring together researchers, practitioners and industry partners to explore how Industrial AI and the IoT can accelerate Environmental, Social and Governance (ESG) goals in manufacturing and other industrial domains.

The session focuses on data-driven methods, architectures and case studies that demonstrate measurable improvements in energy efficiency, carbon footprint, resource utilisation, worker safety, predictive maintenance, supply-chain transparency and responsible governance. By bridging operational technologies with ESG reporting frameworks, the session seeks to highlight practical pathways from proof-of-concept prototypes to large-scale, production-grade deployments.

This special session welcomes both theoretical contributions and real-world implementations, with particular interest in cross-disciplinary work that connects AI/IoT engineering with sustainability science, policy, and corporate ESG strategies.

Topic of Interest

• Industrial AI and IoT architectures for ESG
• Energy efficiency, low-carbon operations and green manufacturing
• Predictive maintenance and asset management for resource optimisation
• Environmental monitoring and compliance (emissions, waste, water, etc.)
• Edge and fog computing for low-carbon industrial AI deployments
• Supply-chain transparency, traceability and responsible sourcing
• Data analytics, KPIs and dashboards for ESG reporting and decision support
• Case studies and best practices of ESG-aligned Industry 4.0 deployments

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

Aim and Scope
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.

Co-Chairs
Yi-Zeng Hsieh, National Taiwan University of Science and Technology, TW
Chien-Hsing Chou, National Taipei University of Education, TW
Yu-Xiang Zhao, National Quemoy University, TW

Aim and Scope
In recent years, the integration of deep learning and computer vision has revolutionized the consumer electronics industry, enabling devices to perceive, interpret, and respond intelligently to visual information. This special session aims to bring together researchers, engineers, and practitioners to discuss the latest advances, challenges, and opportunities in applying computer vision and deep learning to consumer products. Topics span from algorithmic innovations to system-level implementations, emphasizing real-world deployment in smart cameras, mobile devices, wearables, home appliances, and AR/VR systems. The session welcomes both theoretical contributions and practical applications that push the boundaries of visual intelligence in consumer technologies.

Topic of Interest

• Deep learning–based image and video processing for consumer devices
• Visual perception and understanding in embedded and edge systems
• Scene understanding, object detection, and tracking for consumer electronics
• Vision-based human–computer interaction and gesture recognition
• Computational photography and AI-driven image enhancement
• Deep learning models for AR/VR/MR and immersive user experiences
• On-device and energy-efficient AI for vision applications
• Vision–language models and multimodal fusion in consumer contexts
• Security, privacy, and ethical issues in visual AI for consumer products
• Benchmark datasets and performance evaluation for consumer vision tasks

Co-Chairs
Chen-Kuo Chiang, National Chung Cheng University, TW
Guo-Shiang Lin, National Chin-Yi University of Technology, TW

Aim and Scope
Recent advances in artificial intelligence have demonstrated the critical importance of intelligent learning strategies and adaptive modeling techniques across a wide range of applications. This special session, invites original contributions that explore novel theories, algorithms, and applications in deep learning, intelligent adaptation, multi-modal learning, and data-driven AI systems. Topics of interest include, but are not limited to, unsupervised domain adaptation, transfer learning, domain generalization, self-supervised learning, data augmentation strategies, robust model training, and multimodal AI integration. By bridging methodological innovations with practical challenges, this session aims to provide a platform for researchers and practitioners to discuss emerging trends and foster cross-disciplinary collaboration that drives the next generation of intelligent and adaptive AI technologies.

Topic of Interest

• Transfer Learning and Knowledge Distillation
• Unsupervised Domain Adaptation (UDA)
• Self-Supervised Learning and Representation Learning
• Data Augmentation and Intelligent Data Mixing
• Robustness and Generalization in Deep Learning
• Efficient Computation and Federated Learning
• Multimodal and Cross-Modal AI Systems
• AI Models in Multimedia Applications

Co-Chairs
Chiu-Chin Chen, Vanung University, TW
Chia-Chun Liao, Vanung University, TW

Aim and Scope
This special session focuses on human-centered AI applications in smart retail, consumer electronics, and digital marketing strategies that enhance user experience and support sustainability.

As consumer devices and retail technologies become increasingly intelligent, the role of AI in shaping personalized services, ethical marketing, and sustainable consumption has become vital.

This session aims to provide a multidisciplinary platform for researchers, practitioners, and educators to discuss how AI, big data, and smart systems can drive human-centered innovation in retail, product design, and marketing ecosystems.

It welcomes theoretical, empirical, and applied studies that explore how AI technologies influence customer engagement, ethical interaction, and long-term environmental sustainability.

Topic of Interest

• AI and UX design in smart retail and consumer electronics
• Emotion-aware and explainable AI in digital marketing
• Sustainable consumer electronics and circular economy models
• AI-powered service innovation in retail and device ecosystems
• User data governance and ethical AI applications
• Cross-platform brand collaboration and human-machine interaction

Co-Chairs
Chang-Ming Wu, Chung Yuan Christian University, TW
Shih-Hsu Huang, Chung Yuan Christian University, TW

Aim and Scope
This objective of the special session is to provide an interchange of researchers and practitioners working on intelligent circuits and systems. The session focuses on the about design of innovative intelligent circuits and systems for large-scale integrated systems.

Topic of Interest

• Intelligent Circuit Designs for Smart Systems
• Embedded System Designs for Intelligent Applications
• Algorithm–Hardware Implementation
• EDA Tools and Design Automation for Intelligent Circuits and Systems
• Verification, Reliability, and Security in Intelligent Circuits and Systems

Co-Chairs
Yung- Hoh Sheu, National Formosa University, TW
Cheng-Ying Yang, University of Taipei, TW
Hsuan-Fu Wang, National Formosa University, TW

Aim and Scope
Intelligent embedded systems, exemplified by smart factories and autonomous vehicles, are advancing rapidly and exerting substantial influence on both the economy and society. The integration of intelligent technologies within resource-constrained systems necessitates enhancements in methodologies related to design, development, and evaluation. Given that intelligent embedded systems often operate within networked environments and perform mission-critical operations, ensuring their reliability, security, real-time responsiveness, and efficiency is of paramount importance. This session particularly emphasizes areas including processors, artificial intelligence accelerators, edge computing, the Internet of Things, and cyber-physical systems.

Topic of Interest

• Edge Computing and Intelligence in AI and IoT
• Machine Learning for IoT Applications
• Mobile deployment of Large Language Models (LLMs)
• LLMs for AIoT applications
• Smart Cities: AI and IoT Solutions
• Security and Privacy in AI-driven IoT Systems
• 5G and its Impact on AI and IoT
• Blockchain Technology for Securing IoT Devices
• Human-Machine Interaction in IoT Environments
• IoT Sensors and Actuators: Innovations and Advances
• AI-driven Predictive Maintenance in IoT
• Energy-Efficient AI Algorithms for IoT Devices
• IoT in Healthcare: Applications and Challenges
• Industrial IoT (IIoT) and AI for Manufacturing
• Smart Agriculture: AI and IoT in Precision Farming
• Ethical Considerations in AI-powered IoT Systems
• IoT Standards and Interoperability
• Robotic Process Automation (RPA) in IoT
• AI-driven Automation in Supply Chain Management
• IoT Analytics and Big Data Processing
• AI in Edge Devices: Challenges and Solutions
• Wireless Sensor Networks in AI and IoT
• IoT for Environmental Monitoring and Sustainability
• AI and IoT in Transportation and Logistics
• Cross-domain Integration of AI and IoT Technologies
• Artificial Intelligence Applications and Technologies in Internet of Things
• Intelligent Transportation System Devices and Applications

Co-Chairs
Hsuan-Fu Wang, National Formosa University, TW
Ching-Huang Lin, National Yunlin University of Science and Technology, TW
Po-Hui Yang, National Yunlin University of Science and Technology, TW

Aim and Scope
Considering recent advances and emerging technologies, a comprehensive understanding of the essence of these realms and their derivatives has become a challenging yet crucial issue, key to innovative future computing, communication, and control industries. The purpose of this Special Section is to provide a forum for updates and reviews of a wide range of optics and optics disciplines, spanning from optics to system engineering and applications. This session is expected to bring together researchers and practitioners from both academia and industry to meet and share cutting-edge developments in their respective fields. Significant contributions in all major areas of Communication, Radar, Optics, and Circuit Design, in both theoretical and practical aspects, are highly welcome.

Topic of Interest

• Interference characterization
• Cognitive radio, ultra-wideband
• Multi-hop and cooperative communications
• Modulation, coding, diversity
• Equalization, synchronization, channel estimation
• Space-time coding, MIMO, adaptive antennas
• OFDM, CDMA, spread spectrum
• Channel modeling and characterization
• Interference cancellation and multiuser detection
• Iterative techniques
• Signal processing for communications
• Propagation models and experiment for mobile communications
• Emerging wireless/mobile applications
• Wireless telemedicine and e-health ser vices
• Cognitive radio and sensor-based applications
• Content distribution in wireless home environment
• Wireless emergency and security systems
• Wireless MAC protocols: design and analysis
• Circuits and systems for communications
• VLSI systems and applications
• Analog and digital integrated circuit designs
• Antenna Technology
• Radar Phenomenology and Scattering
• Radar Systems
• Ground-Based Remote Sensing Applications
• Civilian Radar Application
• Radar and Multisensor Tracking
• High-Resolution Radar Imaging and Classification
• Cognitive Sensing and Learning MethodsCurrent and emerging signal processing technologies for automated driving
• Signal processing for enhanced safety, robustness, and fa Signal processing for en-hanced safety, robustness, and fault-tolerance

Co-Chairs
Jie Tong Zou, National Formosa University, TW
Ruei Hung Kao, National Formosa University, TW
Hsuan-Fu Wang, National Formosa University, TW

Aim and Scope
This session is dedicated to the design, development, and application of unmanned systems, encompassing unmanned aerial vehicles (UAVs), unmanned underwater vehicles (UUVs), unmanned aircraft systems (UAS), and remotely piloted aircraft systems (RPAS). It serves as an international platform for researchers, engineers, and practitioners to disseminate recent advancements in unmanned platforms operating in aerial, underwater, terrestrial, and space environments. The program addresses state-of-the-art technologies in artificial intelligence, autonomy, sensing, communications, energy management, and swarm coordination, alongside a wide range of applications across sectors such as industry, agriculture, defense, environmental monitoring, and urban air mobility. Contributions that offer original insights and innovations aimed at advancing intelligent, safe, and sustainable unmanned systems are highly encouraged.

Topic of Interest

• Unmanned Aircraft Vehicles (UAV) and Systems
• Remotely Piloted Aircraft Systems (RPAS)
• Unmanned Underwater Vehicles (UUV) and Systems
• Uncrewed Ground Vehicles (UGV) and Systems
• Micro- and Mini-Drones
• Navigation and Localization for UAV, UUV, and UGV
• Networks and Communications for Unmanned Systems
• Sensors, Actuators, and Payloads for Drones
• Video Cameras and Vision Systems
• Lidars and Radars
• Convergence of Drones and Artificial Intelligence
• Autonomous Decision-Making and Onboard Processing
• Swarm Intelligence and Multi-Agent Coordination
• Agricultural Drones and Precision Farming
• Industrial and Automated Process Applications
• Drones for Security and Surveillance
• Drones in Construction Monitoring
• Military and Defense Applications
• Environmental Monitoring, Disaster Response, and Climate Applications
• Urban and Advanced Air Mobility (UAM/AAM)
• Logistics, Medical Delivery, and Smart City Applications

Chair
Shao Chang Huang, Solomom Systech Design Director, TW

Aim and Scope
The final AI applications need ICs (Integrated Circuits) to implement the goals so ICs are the basic elements. Since this is International Conference on Consumer Electronics-Taiwan, let’s focus on consumer ICs only, not all ICs.

Topic of Interest

• Consumer IC designs
• Consumer IC devices
• Consumer IC processes
• Consumer IC reliabilities
• Consumer IC tests
• Consumer IC failure analyses
• Better with AI linking

Co-Chairs
Chih-Hsien Hsia, National Ilan University, TW
Yung-Yao Chen, National Taiwan University of Science and Technology, TW
Sin-Ye Jhong, National Taiwan University of Science and Technology, TW

Aim and Scope
Over the preceding decade, smart systems and intelligent sensing systems based on single or multiple sensors have demonstrated rapid progress. The smart systems enable people to enjoy a convenient life. Under different circumstances, each smart system helps the users to accomplish tasks more easily. This Special Session investigates novel methodologies and applications related to smart systems.

Topic of Interest
Novel applications of smart home, home automation, and smart system

Co-Chairs
Chi-Chia Sun, National Taipei Univercity, TW
Chih-Hsien Hsia, National Ilan University, TW
Yi-Zeng Hsieh, National Taiwan University of Science and Technology, TW

Topic of Interest

• Deep learning and Artificial Intelligence
• AI-driven in Smart Building
• AI-driven in Smart City
• Edge AI IoT of Consumer Electronics
• Machine Learning for IoT Applications
• Sensors of AI IOT
• Intelligent Traffic Control in Modern City
• Applications in virtual/augmented reality

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

Aim and Scope
2026 Special Session on Artificial Intelligence Applications and Technologies in Internet of Things intends to provide a forum for researchers, educators, and professionals to exchange their discoveries and practices, and to explore future trends and applications in IoT Applications and Technologies. Your participation at the special session would be an excellent opportunity for you to meet other researchers and to discuss the technology advancements.

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 Learningy
• 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

Co-Chairs
Abel C. H. Chen, Chunghwa Telecom Laboratories, TW
Austin B. Y. Lin, Chunghwa Telecom Laboratories, TW

Aim and Scope
This special session focuses on devices and applications within intelligent transportation systems (ITS). It will address the design of terminal devices such as on-board units (OBUs) and roadside units (RSUs), as well as topics related to V2X (vehicle-to-everything) communications, security credential management systems (SCMS), and challenges associated with post-quantum cryptography. Submissions on AI and quantum-AI applications are also highly encouraged.

Topic of Interest

• On-board unit design
• Roadside unit designg
• Security credential management system issues
• Post-quantum cryptography for ITS
• Blockchain applications for ITS
• AI applications in ITS
• Quantum computing applications in ITS

Co-Chairs
Tsung-Jung Liu, National Chung Hsing University, TW
Kuan-Hsien Liu, National Taichung University of Science and Technology, TW

Aim and Scope
The primary aim of this special session is to bring together researchers, practitioners, and industry experts to explore the latest advancements and challenges in the intersection of Artificial Intelligence (AI) and Visual Processing. We aim to foster discussions on novel AI methodologies, algorithms, and models specifically designed to interpret, analyze, and generate visual data, and their application across various real-world domains. The session will highlight how deep learning, computer vision, and machine learning techniques are driving breakthroughs in the understanding and utilization of visual information.

Topic of Interest

• Deep Learning Models for Vision
• Image and Video Recognition
• Generative AI for Visual Content
• Visual Data Enhancement and Restoration
• Healthcare and Biomedical Imaging
• Autonomous Systems
• Surveillance and Security (e.g., face recognition, person re-identification)
• Remote Sensing and Geospatial Analysis
• Industrial Inspection and Quality Control
• Explainable AI (XAI) in Vision
• Augmented and Virtual Reality (AR/VR/XR)
• Efficient AI for Resource-Constrained Vision Tasks

Co-Chairs
Liang-Hung Wang, Fuzhou University, CN
Sung-Lin Tsai, National Formosa University, TW

Aim and Scope
This special session aims to serve as a convergent platform for researchers, engineers, and innovators to explore and discuss the transformative intersection of Artificial Intelligence (AI) with cutting-edge domains in modern biology and engineering. The primary goal is to foster interdisciplinary dialogue on how advanced AI methodologies—including machine learning, deep learning, neural networks, and data analytics—are revolutionizing the design, functionality, and integration of complex bio-oriented systems.

Topic of Interest
The scope of the session encompasses, but is not limited to, the following synergistic areas:

• AI in Bioelectronics: Focusing on the development of smart, adaptive biomedical devices and neural interfaces, including AI for signal processing in biosensors, closed-loop therapeutic systems and the design of novel bioelectronic circuits.
• AI in Bioinformatics: Addressing the application of AI to manage, analyze, and extract knowledge from vast and complex biological datasets, including genomic and proteomic sequence analysis, AI-driven drug discovery and repurposing, prediction of protein structures and interactions, and systems biology modeling.
• AI in Biodrones: Exploring the integration of AI with unmanned aerial systems (UAS) or drones for biological and environmental applications. This covers autonomous navigation for ecological monitoring, computer vision for wildlife tracking and conservation, AI-enhanced remote sensing for agriculture and forestry, and the use of drone swarms for large-scale biological data collection.
• System Integration: Emphasizing the holistic fusion of AI, hardware, and biological data streams into cohesive, intelligent systems. This involves edge AI for real-time processing on low-power devices, interoperable data frameworks, hybrid cloud-edge architectures for biodata, and the development of scalable, reliable, and secure integrated platforms.

Co-Chairs
Minella Bezha, Doshisha University, JP
Naoto Nagaoka, Doshisha University, JP

Aim and Scope
This special session explores next-generation integrative AI solutions that unify deep neural networks, large language models, real-world digital twins, and emerging quantum-enhanced computing paradigms to advance consumer electronics and intelligent transportation systems. It targets engineering frameworks that seamlessly fuse multimodal perception, predictive analytics, and adaptive control across embedded, edge, and cloud architectures. Emphasis is placed on scalable, energy-efficient AI pipelines capable of driving context-aware interaction, resilient autonomy, and cross-domain interoperability. By bridging cyber-physical integration with quantum-accelerated optimization, the session aims to catalyze transformative capabilities in smart devices, mobility platforms, and beyond.

Topic of Interest

• Deep Neural Networks for Intelligent Consumer Devices
• Large Language Models Enhancing Human-Machine Interaction
• Digital Twin Technology in Smart Electronics
• Quantum AI for Next-Generation Consumer Applications
• Integrating DNNs and LLMs for Personalized User Experiences
• Real-World Digital Twins for Predictive Device Maintenance
• Hybrid AI Architectures: Combining Classical and Quantum Approaches
• Edge AI in Consumer Electronics: Efficiency Meets Intelligence
• AI-Driven Product Innovation: From Simulation to Reality
• Challenges and Opportunities in Merging Classical and Quantum AI
• Cybersecurity protocols in Industrial applications

Co-Chairs
Minella Bezha, Doshisha University, JP
Naoto Nagaoka, Doshisha University, JP

Aim and Scope
This special session focuses on next-generation resilient smart infrastructures engineered at the intersection of artificial intelligence, energy-aware management, transportation systems, and advanced consumer electronics. It invites contributions that leverage intelligent algorithms, cyber-physical architectures, digital twin, next generation consumer electronics, embedded platforms to enhance the robustness, interoperability, and connected infrastructure ecosystems. The session also welcomes innovations in edge/embedded AI, fault-tolerant system design, telecommunication and secure communication frameworks that articulate a unified pathway toward Infrastructure 6.0—highly efficient, context-aware, resilient by design and efficient data management.

Topic of Interest

• AI and Power Electronics Innovations Enabling Next-Generation Smart Living and Mobility
• Standards, benchmarking, and validation methodologies for Infrastructure 6.0 Autonomous vehicles, V2X, and digital twin technologies
• Intelligent energy management and energy-aware computation
• Innovative Renewable energy generation & management
• Robust consumer electronic systems for infrastructure monitoring
• Energy balancing, monitoring and smart connection through IoT devices
• Next gen consumer electronics implementation and design circuits
• Vehicle-to-everything (V2X), grid-to-home, and appliance-to-grid communication pathways
• Electrification of Micromobility , efficient transportation and Smart Charging Solutions
• Smart Cities: AI and IoT Solutions through next-Gen NPU devices, embedded circuits
• Edge computing, Federated learning model, distribution models in Infrastructure

Co-Chairs
Yung-Chen Chou, Feng Chia University, TW
Chun-Hsiu Yeh, Feng Chia University, TW

Aim and Scope
This Special Session aims to provide an interdisciplinary forum for presenting and discussing recent advances in intelligent computing techniques that address information security challenges and real-world problem solving in consumer electronics and related domains. While steganography and data hiding constitute an important pillar of this session, the scope is intentionally broader, encompassing AI-, Machine Learning–, and Deep Learning–enabled methodologies for secure, robust, and trustworthy systems. The session encourages contributions that demonstrate how intelligent models can be effectively integrated into practical applications, such as multimedia systems, IoT devices, edge computing platforms, smart environments, and privacy-aware consumer technologies. .

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

• Steganography and Information Hiding
  
  • AI-assisted steganography and data hiding techniques
  • Reversible data hiding and secure multimedia embedding
  • Robustness and capacity optimization using learning-based methods
  • Steganalysis and adversarial attacks on information hiding systems
• AI for Information Security and Privacy
  
  • Machine learning and deep learning for multimedia security
  • Privacy-preserving AI models and secure representation learning
  • Biometric protection, anonymization, and de-identification methods
  • Adversarial learning for security and privacy enhancement
• Applied Intelligent Computing
  
  • AI-driven solutions for real-world engineering problems
  • Intelligent decision-making and optimization systems
  • Learning-based anomaly detection and system monitoring
  • AI applications in consumer electronics, smart devices, and IoT
• Systems, Deployment, and Trustworthy AI
  
  • Secure AI deployment on edge and embedded systems
  • Resource-efficient and sustainable AI architectures
  • Explainable and human-centered AI for security-critical applications
  • Reliability, robustness, and lifecycle management of AI-enabled systems
• Cross-Domain and Emerging Applications
  
  • AI for smart cities, healthcare, and human–machine interaction
  • Multimedia forensics and intelligent surveillance systems
  • Integration of AI, security, and consumer technology ecosystems

Co-Chairs
Chi-Wen Lung, Asia University, TW
Reena Monica P, Vellore Institute of Technology, Chennai Campus, IN
Sheena Christabel Pravin, Vellore Institute of Technology, Chennai Campus, IN

Aim and Scope
In this special session, we will explore emerging healthcare applications in consumer electronics that integrate biomechanics, clinical and medical knowledge, artificial intelligence, and product design. A particular focus of the session is on wearable and bioelectronic systems capable of sensing motion, force, deformation, and physiological signals for improving measurement accuracy, user comfort, and device reliability. This session aims to discuss the use of artificial intelligence in the analysis of biomechanical and physiological data, as well as real-time and edge-based health monitoring. Furthermore, it emphasizes user-centered design methodologies, validation methodologies, and the translation of clinical requirements into consumer-ready healthcare products. The scope of the session includes applications in rehabilitation, musculoskeletal health, assistive technologies, chronic condition monitoring, and personalized wellness, with the goal of advancing intelligent, clinically relevant healthcare solutions for consumer electronics. .

Topic of Interest

• Wearable and bioelectronic sensors for motion, force, deformation, and physiological signal acquisition
• Biomechanics-based sensing and modeling for consumer healthcare devices
• Soft tissue properties characterization and modeling for improved sensor accuracy and comfort
• Artificial intelligence and machine learning for biomechanical and physiological data analysis
• Real-time and edge-based health monitoring systems for consumer electronics
• User-centered product design and human–device interaction for healthcare applications
• Clinical validation and translational methodologies for consumer healthcare technologies
• Consumer electronics solutions for rehabilitation and musculoskeletal health
• Assistive technologies and chronic condition monitoring devices
• Personalized wellness and preventive healthcare applications

Co-Chairs
Po-Chiang Lin, Yuan Ze University, TW
Chih-Yang Lin, National Central University, TW

Aim and Scope
Recent advances in artificial intelligence have significantly accelerated the development of intelligent consumer electronics, smart devices, and cyber-physical systems. Beyond cloud-based intelligence, there is a growing emphasis on edge AI, embodied intelligence, and human-centric intelligent systems, where perception, decision-making, and actuation are tightly integrated within real-world environments.
This special session aims to bring together researchers and practitioners working on AI-enabled intelligent systems, with particular attention to edge deployment, real-time perception, interactive intelligence, and embodied AI applications, including but not limited to robotics, smart devices, and intelligent environments.
The session welcomes contributions ranging from fundamental AI algorithms and system architectures to practical implementations and applications in consumer electronics, intelligent robots, and smart IoT systems. Emphasis will be placed on solutions that demonstrate real-world feasibility, system integration, and user-centric design. .

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

• Edge AI and embedded machine learning
• Computer vision and multimodal perception for intelligent systems
• AI for consumer electronics and smart devices
• Human-AI interaction and human-centric intelligent systems
• Embodied intelligence and AI-driven robotics
• Intelligent sensing, perception, and decision-making
• AIoT systems and smart environments
• Learning-based control and adaptive systems
• Real-time AI applications and system integration
• AI applications in education, healthcare, and daily life scenarios

Co-Chairs
Nobuo Funabiki, Okayama University, JP
Shinji Sugawara, Chiba Institute of Technology, JP

Aim and Scope
Proposal and evaluation of algorithms, protocols, or applications in a broad sense for human-centered computer systems that operate on modern information and communication networks like the Internet.

Co-Chairs
Li-Wei Kang, National Taiwan Normal University, TW
Po-Chyi Su, National Central University, TW

Aim and Scope
Generative artificial intelligence (AI) is transforming visual computing and multimedia applications, driving advances in image and video synthesis, enhancement, restoration, super-resolution, and scene understanding. This special session brings together researchers and industry experts to explore recent progress in generative model design and real-world deployment. It aims to promote discussion on innovation, experimentation, and key challenges in applying generative AI to vision-related tasks. Topics include model optimization, robustness, interpretability, and integration into multimedia and computer vision systems.
.
Topic of Interest
Topics of interest include, but are not limited to:

• Design and Optimization of Generative Models
• Generative AI for Visual Enhancement
• Robustness, Reliability, and Ethics
• Interpretability and Explainability
• Real-World Applications and Integration
• Multimodal and Cross-Domain Generation