The 7th International Workshop on Network Meets Intelligent Computations (NMIC) 2026
In conjunction with IEEE MASS 2026, on 21-23 October 2026
The new computation technologies, such as LLMs and AI agents, big data analytics, modern machine learning technology, artificial intelligence (AI), blockchain, and security processing, have the great potential to be embedded into network to enable it to be intelligent and trustworthy. On the other hand, Computer Power Networks (CPN), Collaborative Edge Computing (CEC), Information-Centric Networking (ICN), software-defined network (SDN), network slicing and data center network have emerged as the novel networking paradigms for fast and efficient delivering and retrieving data. Against this backdrop, there is a strong trend to move the computations from the cloud to not only the edges but also the resource-sufficient networking nodes, which triggers the convergence between the emerging networking concepts and the new computation technologies.
The ultimate goals for networking researches include intelligence, trust, and efficiency, which can be enhanced by or benefit for the intelligent computations. There are many open challenges for the emerging network concepts to meet the intelligent computations: what computations should be embedded; which node should be enforced with the computation; how can the computations, such as big data analytics, security, AI, machine learning, blockchain, be seamlessly embedded into the network and enable it to be efficient, trustworthy and accountable; how to fast locate the required and suitable computation nodes; how to efficiently transfer data through series of computation nodes; how to efficiently collect and process the big networking data; how to design networking architectures and protocols to easily support the efficient and diverse computations; how to achieve ultra-low latency communications with distributed computations; and how to migrate from the Internet to the computation-enabled network.
The NMIC workshop 2026 solicits the papers that address the technical challenges and applications of the distributed computations for networking, the intelligent computations supported by the novel networking technologies, and the enforcement of series of computations. We envision that the combination of computations with networking will provide more effective computation support for applications and enable the network to be more intelligent, trustworthy, and efficient. The areas of interests include, but are not limited to, the following:
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Intelligent Computation for Networking
- AI for networking
- Networking architecture and protocols for integrating caching, computation, and communications
- Security, privacy, trust, accountability for/with intelligent computation networking
- Integrating Blockchain with networking
- In-network data computations for network measurement and management
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Networking and Distributed Computing for Intelligent Applications
- Networking for AI
- In-network computation for future networks, inter-data center networking and 6G
- Cooperative task scheduling and resource management for edge computing
- Distributed machine learning on cloud/edges
- Distributed computations for network anomaly detection and security
- Network function virtualization, software-defined network, and network slicing for distributed computations
- Distributed artificial intelligence with/for networking
- Networking computations for big data, streaming, IoT, and AR/VR
- Big data networking in healthcare, V2V, smart cities, industry and other applications
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Networked Intelligent Applications
- AI Agents and LLMs driven Intelligent Applications
- Cloud/Edge based Intelligent Applications
- Blockchain-driven Intelligent Applications
- Metaverse based Intelligent Applications
- Emerging Networked Intelligent Applications
- User Experience in Networked Intelligent Applications
- Data Modelling for Networked Intelligent Applications
Submission Guidelines:
All submissions should be written in English with a maximum length of 6 single-spaced, double-column pages using 10pt fonts on 8.5 in x 11 in paper, including all figures, tables, and references, in PDF format. Authors must use the Manuscript Templates for IEEE Conference Proceedings. Authors of accepted papers are expected to present their papers at the workshop. All the papers are submitted via EDAS.
Important Dates:
| Submission deadline | 31 July, 2026 |
| Acceptance notification | 15 August, 2026 |
| Camera-ready of accepted papers | 31 August, 2026 |
| Conference and workshops | 21-23 October, 2026 |
TPC Co-Chairs
| Chair Name | Organization |
|---|---|
| Lei Yang | South China University of Technology, China |
| Jiaxing Shen | Lingnan University, Hong Kong, China |
| Xiaobo Zhou | Tianjin University, China |
TPC Members
| Member Name | Organization |
|---|---|
| Hui Cheng | University of Hertfordshire, U.K. |
| Long Cheng | North China Electric Power University, China |
| Jianguo Wang | Purdue University, U.S. |
| Pan Zhou | Huazhong University of Science and Technology, China |
| Wanyu Lin | The Hong Kong Polytechnic University, Hong Kong |
| Xiaohua Xu | University of Science and Technology, China |
| Yang Wang | Shenzhen Institute of Advanced Technology, CAS, China |
| Zongjian He | The University of Auckland, New Zealand |
| Qiang He | Huazhong University of Science and Technology, China |
| Mingjin Zhang | The Hong Kong Polytechnic University, Hong Kong |
| Jiaxing Shen | Lingnan University, Hong Kong |
| Tao Wu | National University of Defense Technology, China |
| Tianhui Meng | Beijing Normal University, China |
| Chao Ma | Wuhan University, China |
| Junbo Wang | Sun Yat-Sen University, China |