Special Session

Special Session 3: AI and Agentic Systems (AIAS)

 

Description: The AI landscape is undergoing a critical transition. While foundational, non-agentic models have reached unprecedented levels of predictive and generative performance, the next frontier lies in Agentic Systems—entities capable of autonomous reasoning, goal-directed tool use, and sophisticated coordination. Bridging these two paradigms requires not only advanced cognitive architectures but also standardized communication and interoperability protocols. Aiming to explore the convergence of these two paradigms, this special session seeks original research that addresses the theoretical underpinnings, architectural challenges, and practical applications of the entire AI spectrum—from deterministic algorithms and deep learning models to complex, self-reflecting multi-agent ecosystems.

 

Session Organizer
▪ Prof. Fahim Khan, Toyo University, Japan


Prof. Fahim Khan
Toyo University, Japan

Bio: Dr. Fahim Khan is a Professor at the Department of Information Networking for Innovation and Design (INIAD) in Toyo University, Tokyo, Japan. Prior to joining Toyo University, he served as a faculty member at the University of Tokyo, from where he also obtained his MS and PhD in Applied Computer Science. His recent research encompasses several avenues of applied computing, including: designing distributed systems using AI, GenAI, and blockchain; developing security measures for IoT and smart spaces; and leveraging EdTech and learning sciences for CS and STEM education. His research publications have won multiple best paper awards at IEEE conferences. He actively serves as a committee member at numerous IEEE and ACM conferences. A Senior Member of IEEE, Khan is a recipient of IEEE Japan Medal. He is also a globally selected member of ACM Future of Computing Academy (ACM-FCA), an initiative that brings together next-generation leaders in computing to carry the computing community into the future.

 

The topics of interest include, but are not limited to:
1. Foundational AI and Predictive Systems
 • Architectural innovations in Transformer-based models, State Space Models (SSMs), multimodal LLMs and hybrid neuro-symbolic designs
 • Novel methods for Explainable AI (XAI) and algorithmic fairness
2. Agentic Architectures and Interoperability
 • Goal decomposition, long-term memory management, and advanced Chain-of-Thought (CoT) frameworks
 • Model Context Protocol (MCP) and Tool Use
3. Multi-Agent Systems (MAS) and Communication
 • Agent-to-Agent (A2A) Protocols
 • Orchestration and conflict resolution within multi-agent ecosystems
4. Security, Ethics, and Governance
 • Protecting MCP and A2A interfaces against prompt injections, data poisoning, and unauthorized tool access
 • Alignment and Safety Guardrails of AI and agentic systems
 • Privacy-preserving agentic workflows
5. Systems, Infrastructure, and Applications
 • AI and Agentic workflows for IoT devices and decentralized hardware stacks
 • Human-in-the-Loop (HITL) systems
 • Real-world applications of agentic and non-agentic AI in education, cybersecurity, scientific discovery, smart manufacturing and other fields


Submission method
Submit your Full Paper (no less than 8 pages) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose ICCCM 2026-Special Session 3 (AI and Agentic Systems (AIAS))
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