Special Session 13

Topic: Artificial Intelligence and Intelligent Optimization for Smart Systems

Smart systems must interpret complex data and make effective decisions under limited resources, multiple constraints, and changing conditions. Artificial intelligence provides methods for perception and prediction, while intelligent optimization supports planning, scheduling, and control. Bringing these approaches together can improve how systems use information and respond to practical demands.
This special session invites original research on artificial intelligence and intelligent optimization, including their integration in smart systems. The scope covers deep learning and computer vision, image classification, object detection and segmentation, multimodal learning, evolutionary computation, swarm intelligence, metaheuristics, reinforcement learning, and learning-assisted optimization. Relevant applications include medical image analysis, intelligent transportation and logistics, robotics, autonomous systems, smart agriculture, and resource management.
We welcome methodological contributions, comparative studies, and application-oriented research. Of particular interest are approaches that address data scarcity, computational efficiency, robustness, and decision-making under uncertainty. The session aims to bring together researchers working on intelligent perception and optimization, encourage discussion of reproducible evaluation, and support the development of methods that connect algorithmic advances with practical system requirements.
Topics of interest include, but are not limited to:
1. Deep learning and computer vision for intelligent perception
2. Image classification, object detection, segmentation, and medical image analysis
3. Multimodal learning, intelligent sensing, and data-efficient learning
4. Evolutionary computation, swarm intelligence, and hybrid metaheuristics
5. Reinforcement learning and learning-assisted intelligent optimization
6. Smart transportation, logistics, robotics, autonomous systems, and edge AI

 Submission Link: https://easychair.org/conferences/?conf=icccas2027
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Special Session Chairs

 

Jiacheng Li

Kanagawa University, Japan

Biography: Jiacheng Li is an Assistant Professor in the Department of Applied Systems and Mathematics, Faculty of Informatics, Kanagawa University, Japan. He received his Ph.D. in computer engineering from Hosei University, Japan, in 2020. His research focuses on artificial intelligence, combinatorial optimization, evolutionary computation, swarm intelligence, and hybrid metaheuristic algorithms. He studies vehicle routing, transportation scheduling, electric vehicle logistics, emergency relief distribution, and evacuation planning, with an emphasis on practical constraints and uncertainty.

His work has appeared in journals including Scientific Reports, IEEE Access, and the Journal of Advanced Computational Intelligence and Intelligent Informatics, as well as international conference proceedings. He received the Best Oral Presentation Award at ICSI 2024 and the Young Investigator Award at CCAI 2026. He has contributed to international academic activities through special session organization, program committee service, and peer review, including activities associated with IEEE CEC, IEEE SMC, ICSI, and CACS.

At Kanagawa University, he teaches and supports programming and computer science education and supervises student research on optimization, artificial intelligence, and image recognition. His current interests include reinforcement learning for adaptive optimization and the integration of intelligent perception with planning and decision support for transportation, logistics, robotics, and other real-world smart systems and engineering applications.

 

Jia Guo

Nagoya University, Japan

Biography: Jia Guo is a Designated Assistant Professor at the Global Research Institute for Mobility in Society, Institutes of Innovation for Future Society, Nagoya University, Japan.

 

Masato Noto

Kanagawa University, Japan

Biography: Masato Noto is a Professor in the Department of Applied Systems and Mathematics, Faculty of Informatics, Kanagawa University, Japan.

 

Masanori Akiyoshi

Kanagawa University, Japan

Biography: Masanori Akiyoshi is a Professor and Vice President in the Department of Applied Systems and Mathematics, Faculty of Informatics, Kanagawa University, Japan.