Submission Open

Call for Papers

Original research on intelligent systems spanning hardware, AI, networks, and applications. Deadline: April 29, 2026.

📅 Submission Deadline: April 29, 2026

Complete manuscripts submitted via EasyChair. Double-blind review policy — anonymize your manuscript.

Submission Format

  • ✦ Up to 6 pages (IEEE two-column, 10pt font)
  • ✦ Optional 2 extra pages at $150/page
  • ✦ PDF format only, with savable text
  • ✦ Double-blind — no author names/affiliations
  • ✦ Use IEEE Proceedings Template

Review Process

  • ✦ Blind peer review by multiple reviewers
  • ✦ Criteria: Relevance, Originality, Technical Quality
  • ✦ Full papers: 20+5 min oral presentation
  • ✦ Short papers: 13+2 min oral presentation
  • ✦ Published in IEEE Xplore
Cluster 1 Enabling Intelligence — Hardware — Design — Architecture
Track 1

AI Hardware, Circuits, and Devices

Physical and circuit-level foundations of intelligent computing.

CIM/PIMAnalog MACsOn-chip learningChipletsPhotonic AI
Track 2

AI-Driven Design Automation and Optimization

ML-enabled EDA and cross-layer optimization.

ML for EDATiming closureFormal verificationHW/SW co-synthesis
Track 3

AI Architectures and Systems Design

Next-generation AI accelerators and system architectures.

AI acceleratorsRISC-VNoC/InterconnectHBM/HMCDataflow
Cluster 2 Connected Intelligence — Network — Cloud — IoT
Track 4

AI-Native Connectivity, Networks, and Distributed Intelligence

AI-native communication and network intelligence across 6G/7G systems.

6G/7GO-RAN RICFederated learningRIS/ISACSemantic comms
Track 5

Cloud, Infrastructure, and Data-Centric Intelligence

AI computing infrastructure and data engineering.

MLOps/LLMOpsVector DBsModel servingDigital twinsAutoscaling
Track 6

Internet of Things (IoT) and Cyber-Physical Intelligence

IoT, edge intelligence, and cyber-physical systems.

TinyMLTSNCPSEdge-cloudDigital twinsAdaptive IoT
Cluster 3 Trusted and Autonomous Intelligence — Security — Agency — Cognition
Track 7

Secure, Reliable, and Trustworthy AI Systems

Hardware and AI security for trustworthy intelligent systems.

AI securityAdversarial robustnessPrivacy (FL/DP/HE)Attestation
Track 8

Agentic and Robotic AI Systems

Autonomous and agentic AI in software and embodied forms.

RoboticsSLAMTAMPMulti-robotSim-to-realEmbodied AI
Track 9

Foundational, Generative, and Cognitive AI

Core algorithmic and model innovations in AI.

LLMs/VLMsRAGLoRA/QLoRARLHFContinual learningAlignment
Cluster 4 Human-Aligned and Applied Intelligence — Human — Ethics — Industry
Track 10

Human-Centered AI, Interaction, and Visualization

Human-AI interfaces and decision support systems.

XAIXR/AR/VRHuman-in-the-loopTrust & safety UXProvenance
Track 11

Responsible, Ethical, and Sustainable AI

Fairness, accountability, and sustainability in AI lifecycles.

FairnessTransparencyGovernanceSustainabilityRisk management
Track 12

Vertical Applications in Smart Cities, Industry 4.0, Healthcare & Beyond

AI-driven applications demonstrating real-world impact.

AIoTDigital medicineIndustry 4.0Smart citiesSmart agriculture
Special Special Session Tracks
Special Session

Emerging Technology Enablers for IoT-AI Ecosystems

Focuses on emerging enabling technologies driving the convergence of IoT and AI, with emphasis on embodied, physical, and agentic intelligence in real-world systems. Covers edge and embedded AI, distributed multi-agent systems, large-scale AI models, and next-generation communication technologies.

Embodied AIPhysical AIAgentic AIEdge AILLMs5G/6G
Special Session

Emerging Blockchain Technologies for IoT and AI Systems

Blockchain and distributed ledger technologies for secure, decentralized IoT and AI systems. Covers data integrity, trust management, smart contracts, edge computing integration, and privacy-preserving mechanisms.

BlockchainDLTSmart contractsDecentralized systemsTrust management
Special Session

Emerging Edge AI and Generative AI: On-Device LLMs

Convergence of Edge AI and Generative AI, emphasizing on-device LLMs. Covers TinyML, model compression, quantization, MoE, distributed edge-cloud collaboration, and hardware-software co-design.

On-device LLMsTinyMLQuantizationMoEEfficient inference
📎 Download the Full CFP

The complete Call for Papers PDF: CFP-IEEECOINS2026.pdf

Submit Paper via EasyChair → Author's Guide