Sixth-generation (6G) wireless networks are envisioned to move beyond conventional data delivery and become AI-native platforms that tightly integrate communication, sensing, computing, and energy transfer. Emerging applications such as autonomous systems, extended reality, digital twins, massive machine-type communications, and large-scale distributed intelligence require ultra-low latency, extreme reliability, massive connectivity, and sustainable operation requirements that cannot be met by current network infrastructures alone. Key enabling technologies for this vision include Integrated Sensing and Communication (ISAC), Simultaneous Wireless Information and Power Transfer (SWIPT), and Reconfigurable Intelligent Surfaces (RIS). ISAC enables wireless signals to jointly support data transmission and environmental sensing, providing localization, tracking, and situational awareness. SWIPT allows networks to deliver energy and information simultaneously, supporting energy-constrained devices and sustainable operation. RIS technology introduces programmable radio environments that can dynamically shape wireless propagation, significantly improving coverage, spectral efficiency, and energy efficiency. However, the joint design and optimization of communication performance, sensing accuracy, and energy transfer in RIS-assisted ISAC–SWIPT systems is highly complex and inherently dynamic. Channel conditions, user mobility, sensing targets, and energy demands vary over time, making static or offline optimization approaches insufficient. This motivates the use of advanced AI techniques, including online learning, reinforcement learning, federated learning, and distributed intelligence, to enable real-time, adaptive, and scalable decision-making in future 6G networks. This workshop aims to provide a focused forum for exploring how cutting-edge AI techniques can jointly empower ISAC, SWIPT, and RIS-enabled 6G architectures, addressing both theoretical foundations and practical deployment challenges.
Multi-armed bandits for ISAC and SWIPT systems
Safe and multi-objective online learning
RIS-assisted communication, sensing, and power transfer
Cascaded, mobile, and aerial RIS architectures
Digital twins for learning-enabled wireless systems
Communication-efficient and energy-aware learning
RIS-assisted SWIPT and ISAC architectures
Online learning and bandit-based resource allocation
AI-driven beamforming, phase-shift optimization, and energy harvesting
Communication-efficient learning for joint sensing and power transfer
Real-time analytics and 6G: Applications and Innovations.
AI-native PHY/MAC protocols for 6G
Foundation and generative models for wireless optimization
Digital twins and AI-driven simulations for RIS/ISAC systems
Energy-efficient learning and inference in wireless-powered networks
Edge computing and autonomous systems: Advancements and Challenges.
Massive data processing in 6G environments.
AI-powered network optimization in 6G networks.
Privacy and security considerations for AI in 6G.
Federated learning and distributed AI in 6G ecosystems.
AI-enabled IoT and sensor networks in 6G.
Explainable AI and transparency in 6G-enabled AI systems.
Machine learning algorithms and models for 6G networks.
Reinforcement learning and AI-driven decision-making in 6G scenarios.
Standardization efforts and regulatory implications for AI in 6G.
AI for drones, RIS, V2V, V2I, and V2X scenarios in 6G.
The "6G Horizons: Harnessing Cutting-Edge AI Innovations for Intelligent, Sensing-Aware, and Energy-Efficient Connectivity" workshop will feature a compelling, interactive format designed to ignite intellectual discourse, foster collaboration, and drive innovation. Through captivating keynote speeches, thematic presentations, a thought-provoking panel discussion, a visually engaging poster session, and dedicated networking opportunities, participants will actively share knowledge, explore cutting-edge research, tackle challenges, and forge connections with fellow researchers and industry experts. This immersive format will empower attendees to collectively shape the future of AI in the 6G era, unlocking new possibilities and paving the way for groundbreaking advancements at the intersection of 6G technology and novel AI techniques. The submitted papers should follow the IEEE Format as follows:
Papers due: 9 February, 2026
Acceptance notification: 23 February, 2026
Camera-ready version due: 25 February, 2026
Workshop Date: 30 March 2026
We are currently accepting paper submissions for position, review, or research articles in two formats: full papers (up to 6 pages). All submissions will undergo peer review, and authors will publish their work on the conference proceedings site.
Submission Link
TBD
8:30 AM - 9:00 AM: Registration and Networking
9:00 AM - 9:05 AM: Opening Remarks by Workshop Chairs
9:05 AM - 9:30 AM: Keynote Speech 1: "AI-Native Design for 6G Networks: From Reconfigurable Intelligent Surfaces to ISAC–SWIPT Systems " by Dr. [Keynote Speaker 1]
9:30 AM - 10:15 AM: Technical Session 1: 3–4 oral presentations (10–12 minutes each, including Q&A)
10:15 AM - 10:30 AM: Coffee Break and Poster Session
10:30 AM - 11:15 AM: Technical Session 2: 3–4 oral presentations (10–12 minutes each, including Q&A)
11:15 AM - 11:55 AM: Invited Talk & Panel Discussion
11.15 AM- 11.35 AM Keynote Speech 2: "Joint Communication, Sensing, and Power Transfer: Challenges and Opportunities for AI-Driven 6G " [Keynote Speaker 2]
11.35 AM-11.55 AM Panel Discussion: "Are RIS, ISAC, and SWIPT the Cornerstones of AI-Native 6G Networks? "
11:55 PM - 12:00 PM: Closing Remarks and Future Directions
Sherief Hashima (RIKEN-AIP, Japan)
Maha M. Elsabrouty (EJUST University, Egypt )
Mostafa M. Fouda ( Idaho State University, ID, USA)
Kohei Hatano & Eiji Takimoto ( Kyushu University, Japan)
Zubair Md Fadllulah (Western University, ON, Canada)
Ahmed Hassan Gendia (Kyushu University, Japan)
For further details, contact us at sherief.hashima@riken.jp