TBA

ICRCA 2026 Keynote Speakers

Prof. Abderazek Ben Abdallah

University of Aizu, Japan

Biography: Abderazek Ben Abdallah is Regent, Dean, and Full Professor in the School of Computer Science and Engineering at the University of Aizu, Japan. He has served on the university’s Education and Research Council since 2014 and previously led its Computer Engineering Division from 2014 to 2022. He received his Ph.D. in Computer Engineering from the University of Electro-Communications (UEC), Tokyo, in 2002.
With more than two decades of academic leadership, Dr. Ben Abdallah’s research focuses on high-performance and energy-efficient computing systems, spanning computer architecture, neuromorphic circuits and systems, fault-tolerant on-chip networks, and embedded systems. He is the author of four books, including Neuromorphic Computing: Principles and Organization-recognized by BookAuthority in June 2025 as the best neuromorphic computing book of all time-and Multicore Systems-on-Chip: Practical Software/Hardware Design, which has been translated into Chinese. His scholarly record includes over 160 peer‑reviewed publications, 17 competitive research grants, and 14 patents (9 registered, 5 provisional). His recent innovations include leading the development of the world’s first AI-powered off-grid solar carport for renewable energy storage (2022–2023) and directing a full-cycle parallel processor design project (2002–2007) covering ISA design, hardware prototyping, and cycle-accurate simulation.

Speech Title: Neuromorphic Humanoid Robotics: Event-Driven Intelligence and Distributed Autonomy
Abstract: Neuromorphic engineering is redefining the future of humanoid robotics by enabling ultra-low-power intelligence, real-time responsiveness, and adaptive behavior beyond the limits of conventional AI architectures. This keynote explores a full-stack neuromorphic approach to embodied intelligence, integrating event-driven sensing, spiking neural control, and continual on-chip learning to support robust perception, decision-making, and motor coordination in dynamic environments. Drawing on advances in neuromorphic circuits, fault-tolerant on-chip networks, and energy-efficient processor design, the talk highlights how brain-inspired computation can enhance locomotion, manipulation, and human–robot interaction.
Building on this foundation, the keynote introduces a complementary analytical framework for task allocation in distributed anthropomorphic robots operating in mission-critical environments. The model captures the interplay between autonomy, resource constraints, and task urgency, enabling decentralized coordination under intermittent connectivity, limited energy, and unpredictable workloads. By combining neuromorphic intelligence at the individual robot level with principled coordination strategies at the system level, this work outlines a path toward scalable, resilient humanoid robot teams capable of operating effectively in high-stakes, real-world scenarios such as disaster response, emergency healthcare, and autonomous field operations.

Prof. Lu LIU

City University of Hong Kong, hong Kong, China

Biography: Dr. Lu Liu received her Ph.D. degree from the Chinese University of Hong Kong. From 2009 to 2012, she was an Assistant Professor at The University of Tokyo, Japan, and then a Lecturer at The University of Nottingham, United Kingdom. Then she joined the City University of Hong Kong and is currently a Full Professor. Her research interests are primarily in networked dynamical systems, unmanned systems, robotics, and intelligent control. She is a Clarivate Highly Cited Researcher. She received several best paper awards in flagship conferences, including the Guan Zhaozhi Award of the 27th Chinese Control Conference in 2008, and the Shimemura Young Author Award of the 11th Asian Control Conference in 2017. She received the Excellent Young Scientists Fund (Hong Kong and Macao) from the National Nature Science Foundation of China (NSFC) in 2022. Dr. Liu has served as an Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, IEEE Robotics and Automation Letters, Control Theory and Technology, and Unmanned Systems. She served in the organizing committee of several international conferences including General Chair of the 2022 IEEE International Conference on Real-Time Computing and Robotics, General Chair of the 2022 IEEE International Conference on Control and Automation.

Speech Title: Distributed Cooperative Control under Resource-Constrained Network

Abstract: Cooperative control of multi-agent systems has attracted significant interest in the systems and control community due to its potential for impactful real-world applications, such as search and rescue by a team of unmanned ground/aerial vehicles, and ocean sampling using a fleet of underwater gliders. In this talk, we will present the cooperative output consensus problem for heterogeneous linear multi-agent systems under resource-constrained networks. We will begin with an overview of the event-triggered control paradigm, highlighting its efficiency and practicality by reducing unnecessary communication and control updates. Then we will present a novel distributed event-triggered control strategy tailored for the cooperative output consensus of multi-agent systems under switching network topologies. This strategy ensures that output consensus is achieved asymptotically while reducing communication demands, thus conserving valuable system resources. Notably, the continuous monitoring issue can be avoided.