The Second International Workshop on Network Meets Intelligent Computations (NMIC) 2020

15 February 2020 all-day

The new computation technologies, such as 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, Information-Centric Networking (ICN), software-defined network (SDN), network function virtualization (NFV), 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 2020 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:

  • Networking architecture and protocols for integrating caching, computation, and communications
  • Machine learning, data mining and big data analytics in networking
  • In-network computation for future networks, inter-data center networking and 5G
  • Information-centric networking with/for computations
  • Intelligent Internet edge integrating edge, fog, and mobile edge computing with networking
  • Intelligent service function/computation chaining
  • Security, privacy, trust, accountability for/with intelligent computation networking
  • Collection and processing for big network data
  • Distributed computations for network anomaly detection and security
  • Integrating Blockchain with networking
  • Network function virtualization, software-defined network, and network slicing for distributed computations
  • Networking computations for big data, streaming, IoT, and AR/VR
  • In-network data computations for network measurement and management
  • Distributed artificial intelligence with/for networking
  • Data modelling and applications of networking
  • Big data networking in healthcare, V2V, smart cities, industry and other applications

Important Dates

  • February 15, 2020: Submission deadline
  • April 1, 2020: Acceptance notification
  • April 15, 2020: Camera-ready of accepted papers
  • July 8-10, 2020: Conference and workshops


Submission Guidelines

All submissions should follow the IEEE 8.5″ x 11″ Two-Column Format. Each submission can have up to 6 pages. Authors of accepted papers are expected to present their papers at the workshop.

Submission link:



TPC Chairs

  • Ruidong Li, National Institute of Information and Communications Technology (NICT), Japan
  • Michele Nogueira, Federal University of Paraná, Brazil
  • Lei Jiao, University of Oregon, USA
  • Ryoichi Shinkuma, Kyoto University, Japan


Web Chair

  • Kaigui Bian, Peking University, China


Publicity Chairs

  • Moayad Aloqaily, Gnowit Inc. Ottawa, Canada
  • Safa Otoum, University of Ottawa, Canada
  • Ouns Bouachir, Zayed University, UAE


Steering Committee

  • Jie Li, Shanghai Jiao Tong University, China
  • Nirwan Ansari, New Jersey Institute of Technology, USA
  • Xiaoming Fu, University of Gottingen, Germany
  • Hitoshi Asaeda, NICT, Japan
  • Dijiang Huang, Arizona State University, USA


Keynote Speaker

  • Prof. Kui Ren, Zhejiang University, IEEE Fellow, ACM Distinguished Scientist
  • Bio: Kui Ren is Professor and Associate Dean of College of Computer Science and Technology at Zhejiang University, where he also directs the Institute of Cyber Science and Technology. Before that, he was SUNY Empire Innovation Professor at State University of New York at Buffalo. He received his PhD degree from Worcester Polytechnic Institute. Kui’s current research interests include Data Security, IoT Security, AI Security, and Privacy. He received IEEE CISTC Technical Recognition Award in 2017, SUNY Chancellor’s Research Excellence Award in 2017, Sigma Xi/IIT Research Excellence Award in 2012, and NSF CAREER Award in 2011. Kui has published more than 300 papers in peer-reviewed journals and conferences and received several Best Paper Awards, including ACM AsiaCCS’18, IEEE ICDCS’17, IWQoS’17, and ICNP’11. His h-index is 67, and his total publication citation exceeds 29,000 according to Google Scholar. Kui is a Fellow of IEEE, a Distinguished Scientist of ACM. He currently serves as an area/associate editor for ACM Trans. On Cyber Physical Systems, IEEE Trans. on Dependable and Secure Computing, IEEE Trans. on Service Computing, IEEE Trans. on Networking, IEEE Trans. on Mobile Computing, IEEE Wireless Communications, IEEE Internet of Things Journal, and Computer Networks.