All deadlines are at 11:59pm Pacific Time.
Internet of Things (IoT) is a disruptive technology that extends data collection to almost everything around us and enables them to react through intelligent data processing. Gartner estimates that the number of IoT connections will reach 83 billion by 2024. With recent innovative network and chip technology, devices are becoming smarter with increasing compute power, bandwidth, and storage available on the device. This enables intelligent decision making and information transfer through devices. Insights derived from data generated by IoT devices power new business scenarios and ensure long term success of existing business. Major IT solution providers have been investing in building IoT data platform to support customers to develop IoT solutions in different industry sectors such as smart cities, manufacturing, health care and transportation. These business scenarios impose technical challenges and opportunities in building intelligent cloud and edge solutions.
This workshop provides a forum for researchers, data scientists and practitioners from both academia and industry to present the latest research results, share practical experience of building AI powered IoT solutions, and network with colleagues.
IoT is an interdisciplinary field that intersects with device, sensor network, stream analytics, and machine learning. AI for IoT is a workshop on IoT with its focus on technologies to enable machine learning algorithm to run on resource constrained, secure, and connected devices. The workshop encourages submissions of innovative technologies and applications that enable IoT scenarios. Topics of interest, include but not limited to:
For each accepted paper, at least one author must attend the conference and present the paper.
The workshop invites submission of manuscripts with original research results that have not been previously published or that are not currently under review by another conference or journal. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility.
Submissions will be peer-reviewed and selected for oral or poster presentation. All submissions must be in PDF format and use ACM Conference Proceeding templates (two column format).
Technical paper submissions must be no more than six pages long including all content and references.
Project showcase track focuses on innovative AIoT-relevant projects. Preference will be given to projects, which contributes to open source, open data, and social good. Extended project abstract submission must be no more than two pages long. It should contain brief description of the project including its goal, problem statement, solution, partner, and deployment status if any. Project demonstration and URL are recommended.
Submit your paper and/or project showcase through the AIoT workshop 2022 Submission Site: https://cmt3.research.microsoft.com/AIOT2022/Submission/Index
Any questions may be directed to the workshop’s email address: email@example.com