SS01: Emerging Advanced Technologies and Applications for Intelligent Life and Smart City/Township  
Session Chair
Prof. Liang-Bi Chen, National Penghu University of Science and Technology, Taiwan 
Session Co-chairs
Prof. Shih-Hsiung Lee, National Kaohsiung University of Science and Technology, Taiwan 
Prof. Ming-Che Chen, Southern Taiwan University of Science and Technology, Taiwan 
Prof. Szu-Yu Kuo, National Kaohsiung University of Science and Technology, Taiwan   

Session Scope 
Adopting advanced technologies like artificial intelligence (AI) and the Internet of Things (IoT) has become crucial for developing smart cities, townships, intelligent logistics, intelligent transportation, etc. The continuous evolution of intelligent systems and applications further enhances existing frameworks by integrating emerging techniques such as service design, big data analysis, cloud computing, AI, edge computing, and IoT. These advancements bring about increased convenience and numerous benefits to our daily lives. This special session cordially invites submissions focusing on advanced emerging consumer techniques and applications that contribute to advancing smart city/township domains. 

Keywords
Artificial intelligence (AI) 
Artificial intelligence of things (AIoT) 
Smart city 
Smart township 
Intelligent agriculture 
Intelligent aquaculture 
Intelligent systems 
Intelligent logistics 
Intelligent transportation 
Internet of things (IoT)

SS02: AI Semiconductor Technology for Consumer Systems 
Session Chair
Prof. Hyuk-Jae Lee, Seoul National University   

Session Scope 
Artificial intelligence is widely used in consumer systems. However, AI computation demands a very powerful neural processor to handle complex AI models. As a result, the integration of a neural processor increases the development cost and power consumption of consumer systems. Recently, extensive research has been conducted to reduce the complexity of neural processing computations, from circuit to system-level design. Efficient optimization techniques have been studied and proposed for accelerating deep neural networks and increasing the utilization of neural processors. Additionally, effective integration of neural processor systems has been extensively developed. This special session presents recent research results on optimization and integration techniques for AI applications in consumer systems. The latest trends and examples are to be shared to understand how AI technology can be more efficiently and effectively integrated into consumer systems. 

SS03: Advanced Cryptography and Its Applications 
Session Chair
Prof. Samsul Huda, Okayama University, Japan
Session Co-Chairs 
Prof. Yasuyuki Nogami, Okayama University, Japan 
Prof. Tuy Nguyen, Northern Arizona University, USA
Prof. Shunsuke Araki, Kyushu Institute of Technology, Japan

Session 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.

Keywords
Consumer electronics security
Advanced cryptography
Blockchain security
Privacy-enhancing technologies
Cryptographic implementations
Machine learning and AI in cryptography

SS04: FPGA and related applications for consumer electronics
Session Chair
Prof. Minoru Watanabe, Okayama University, Japan   

Session Scope 
Field Programmable Gate Arrays (FPGAs) are widely used for a variety of  applications, in particular, for consumer electronics. Currently, consumer electronics frequently use an FPGA as a replacement of application specific integrated circuit (ASIC). However, the latest FPGA researches have gone to the great next-generation field beyond such simple ASIC like use. This organized session will discuss the state-of-the-art FPGA researches and related high-performance applications (for example, server applications). Based on the latest FPGA researches, we will discuss how to apply the latest FPGA researches onto  consumer electronics.

SS05: Radiation-hardened wireless communication systems for consumer electronics
Session Chair
Prof. Minoru Watanabe, Okayama University, Japan   

Session Scope 
Up to now, we have faced some nuclear accidents in the world just like Three Mile Island accident, Chernobyl nuclear accident, Fukushima Daiichi nuclear power plant meltdown accident, and so on. After such accidents, while the plant worker requires radiation-hardened systems, in particular, radiation-hardened wireless communication systems, people requires handy-treatable  radiation sensors in home to measure the radiation level of food, water, atmosphere, house, garden, and so on. This session will mainly discuss some radiation tolerant systems, in particular radiation hardened wireless communication systems. 

SS06: Massive and ubiquitous architecture for social infrastructure
Session Co-chairs
Prof. Chikara Ohta, Kobe University, Japan 
Prof. Tetsuya Yokotani, Kanazawa Institute of Technology, Japan   

Session Scope 
Nowadays, many devices, such as computers, sensors, actuators, and files containing data and software, are ubiquitously distributed across networks. Some computers also have significant computational resources, such as xPUs and FPGAs. This situation will continue to evolve. To integrate and leverage these computing resources, considering network resources networking them, even low-power terminals like wearable devices can achieve the processing capabilities required for advanced social services. This special session explores the realization and application of network architectures featuring distributed transparency, which enables users to effortlessly utilize a multitude of distributed computing devices without being consciously aware of their presence. 

Keywords
distributed computing
massive and ubiquitous devices
network and computational resource integration
advanced social services

SS10: Smart Transport Protocols and Controls for Future Consumer Communication Networks
Session Chair
Prof. Yosuke Tanigawa, Osaka Metropolitan University, Japan 
Session Co-Chair
Daiki Nobayashi, Kyushu Institute of Technology, Japan  

Session Scope
Required transport layer protocols and controls are changing as consumer communication networks, including backbone optical networks and wireless access networks, achieve higher capacity and become more diverse.  Technologies related to other layers are also being studied to further contribute to increasing the capacity and reducing the transfer latency, and it is desirable that these technologies are compatible with specific transport layer protocols such as TCP while maintaining the independence from the transport layer. This session will discuss state-of-the-art smart transport protocols, controls, and related technologies, and how to realize reliable data transfer in such future consumer communication networks.

SS11: Intelligent Systems and Machine Learning in Consumer Electronics
Session Co-Chairs
Prof. Chih-Yang Lin, National Central University, Taiwan 
Prof. Hammam Riza, Syiah Kuala University, Indonesia 
Prof. Guo-Shiang Lin, National Chin-Yi University of Technology, Taiwan 
Prof. Kahlil Muchtar, Syiah Kuala University, Indonesia   

Session Scope 
The rapid advancement of intelligent systems and machine learning technologies is transforming the landscape of consumer electronics, driving innovation and enhancing user experiences across a wide range of applications. This special session seeks to explore the latest developments, methodologies, and applications of machine learning and deep learning in the consumer electronics sector. It will provide a forum for researchers, practitioners, and industry experts to discuss the integration of intelligent systems into consumer devices, addressing challenges and uncovering opportunities for the future. Topics of interest include, but are not limited to: 
o Intelligent Applications for Multimedia Processing 
o Deep Learning-Based Applications in Consumer Electronics 
o Measurements in Industrial Applications 
o Medical Signal Processing in Consumer Electronics

SS12: AI and Optimization for Smart City IoT System
Session Chair
Prof. Seokheon Cho, University of California, San Diego   

Session Scope 
As Artificial Intelligence (AI) and mathematical optimization technologies advance, consumer electronics are gradually transformed into intelligent edge computing devices and connected to a smart city Internet-of-Thing (IoT) system. AI and optimization technology-powered consumer electronics have abilities to pre-process the collected data from various assets, analyze pre-processed data to predict and optimize, transfer valuable analytical insights throughout the networks of smart city, and control devices with optimal actions. A smart city IoT system consisting of intelligent consumer electronics can eventually enhance the overall quality of life of citizens as well as provide the solutions to cope with challenges. In this technical session, it is strongly recommended to introduce AI and mathematical optimization tools, which can be applied to consumer electronics and smart city networks, to efficiently manage electricity, air and water quality, public transportation, public health and safety, and so on.