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Over the course of two inspiring days, CAS2026 Tokyo will offer a dynamic and engaging program designed to foster both intellectual exchange and meaningful connections. The conference will feature Plenary Sessions with leading scholars, Parallel Sessions showcasing cutting-edge research, and Poster Sessions that encourage in-depth discussion and interaction. In addition, participants can look forward to a small but delightful conference gift, as well as special activities that allow you to experience and enjoy the unique atmosphere of the host campus.
The detailed program will be announced soon.
Plenary Speakers
Plenary Speakers
At CAS2026 Tokyo, we are honored to welcome an outstanding group of Plenary Speakers representing a broad spectrum of research in Complex Adaptive Systems. The plenary talks will span from theoretical foundations to application-oriented domains. Together, these distinguished researchers will explore themes central to the conference: emergence and self-organization, adaptive learning and distributed decision-making, agent-based modeling, sociotechnical integration, and methodological advances that bridge knowledge across scales.
At CAS2026 Tokyo, we are honored to welcome an outstanding group of Plenary Speakers representing a broad spectrum of research in Complex Adaptive Systems. The plenary talks will span from theoretical foundations to application-oriented domains. Together, these distinguished researchers will explore themes central to the conference: emergence and self-organization, adaptive learning and distributed decision-making, agent-based modeling, sociotechnical integration, and methodological advances that bridge knowledge across scales.
By connecting rigorous theory with real-world systems and societal applications, the Plenary Sessions will provide a comprehensive and forward-looking perspective on the evolving landscape of Complex Adaptive Systems research.
By connecting rigorous theory with real-world systems and societal applications, the Plenary Sessions will provide a comprehensive and forward-looking perspective on the evolving landscape of Complex Adaptive Systems research.
Prof. Takeshi Hatanaka
Institute of Science Tokyo
Prof. Eri Itoh
The University of Tokyo
To Be Announced
To Be Announced
Takeshi Hatanaka
Professor, School of Engineering, Institute of Science Tokyo
Takeshi Hatanaka
Professor, School of Engineering, Institute of Science Tokyo
Adaptive Multi-Drone Coverage Control: From Autonomy to Human-in-the-Loop Collaboration
This plenary talk presents an adaptive multi-drone coverage control framework for efficient image acquisition tailored to real world 3D reconstruction. We first introduce angle aware coverage control, which extends classical coverage theory to capture images from a variety of viewpoints. Building on this, we propose adaptive coverage control that modulates sampling density according to structural complexity, enhancing efficiency and reconstruction quality. To address computational bottlenecks in autonomous situation awareness and drone guidance, we further design a cyber physical human system in which a human provides high level perception while drones manage low level autonomy. This collaborative architecture enables highly adaptive and scalable multi drone operations.
Takeshi Hatanaka received the Ph.D. degree in applied mathematics and physics from Kyoto University in 2007. He then held faculty positions with the Tokyo Institute of Technology and Osaka University. Since October 2024, he has been a Professor with the Institute of Science Tokyo. He is the coauthor of Passivity-Based Control and Estimation in Networked Robotics (Springer, 2015) and co-editor of Economically-enabled Energy Management (Springer Nature, 2020). His research interests include cyber-physical-human systems (CPHS) and networked robotics. He is serving/served as an SE for IEEE TCST, a deputy EiC of Annual Reviews in Control, a General Co-chair of IFAC CPHS and an IEEE CSS Conference Editorial Board member.
Eri Itoh
Professor, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo
Eri Itoh
Professor, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo
Air Transportation as a Multi-Layer Complex Adaptive System: Human-AI Co-adaptation and Network Resilience in Practice
Air transportation is increasingly shaped by interactions among human operators, AI systems, and evolving network structures. This keynote conceptualizes air transportation as a multi-layer complex adaptive system, linking micro-level Human-AI co-adaptation in air traffic control with macro-level resilience in air transport networks. Drawing on empirical studies of human-in-the-loop decision support and network structural analysis, it demonstrates how local adaptive dynamics scale into system-wide patterns of stability and vulnerability. The talk argues that resilience emerges not merely from redundancy, but from adaptive architectures across layers, offering practical implications for the design of next-generation socio-technical aviation systems.
Eri Itoh received her Ph.D. in Aeronautics and Astronautics from The University of Tokyo, Japan, in 2007. She has conducted research at Eurocontrol Experimental Centre, Netherlands Aerospace Center (NLR), NASA Ames Research Center, and Nanyang Technological University. She is currently Professor at the Research Center for Advanced Science and Technology and at the Department of Aeronautics and Astronautics, The University of Tokyo. Her research bridges human-centered automation, data-driven modeling, and network analysis to advance resilient, environmentally efficient air traffic operations. She also explores geoeconomic and multi-layer dynamics in air transport, aiming to inform next-generation mobility systems in complex adaptive environments.
To Be Announced...
To Be Announced...
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