Realizing the full potential of the Internet of Things (IoT) requires solving technical and business challenges including the identification of things, the organization, integration and management of big data, and the effective use of knowledge-based decision systems. These challenges, and more, are the focus for the International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI) international conference series.

IIKI 2024, the 12th conference in the series, provides a dedicated forum for international experts to discuss current trends, challenges, and state-of-the-art solutions in the IoT.

Conference Tracks
Technology Section
Technology track 1: High-performance AI and the Applications
Technology track 2: Knowledge Engineering, Big Data, and Cloud computing
Technology track 3: Fog Computing and IoT Services
Technology track 4: EHealth, Mobile Health, Wellbeing and Sport
Technology track 5: Artificial Intelligence and Internet of Things
Technology track 6: Ubiquitous Sensing and Intelligent Media
Technology track 7: Metaverse
Digital Economy Section
Digital economy track 1: Digital Economy
Digital economy track 2: Fintech
Digital economy track 3: Big Data in Finance and Business
Digital economy track 4: Quantitative Trading Based on Artificial Intelligence
Digital economy track 5: Digital Currency and Blockchain

Call For Special Section and Workshop:

We recommend organizing Special Sessions and Workshops for IIKI2024. Proposers should submit their proposals for Special Sessions or Workshops to the Technical Program Committee (TPC). The proposals will be reviewed, and approval will be granted by the TPC.

For Workshops, the standard duration is a half-day, and all participants are required to register for the conference. For Special Sessions, the organizers must gather 5 to 6 papers, and each presentation should be allocated 20 minutes. Presenters are also required to register for the conference.

We suggest the following topics, but they are not limited to:

AI
IoT
Economy
Big Data

Submission Guidelines:
We encourage submission of full papers and position papers presenting novel ideas that may lead to insightful technical discussions.

Papers should contain original contributions that have not been published or submitted elsewhere, and references to related state-of-the-art research.

Please submit your papers at https://www.easychair.org/conferences/?conf=iiki2024.

Contact:
Please contact xing@fc.ritsumei.ac.jp for further enquiries.