[hpc-announce] CFP AAAI-20: Artificial Intelligence of Things Workshop, Deadline Nov. 15, 2019

Muhammad SHAFIQUE mshafique at ecs.tuwien.ac.at
Wed Oct 9 04:37:06 CDT 2019

[Apologies if you receive multiple copies of this email.]
After successful inauguration of Artificial Intelligence of Things 
(AIoT) workshop at KDD'19, we are happy to announce AIoT workshop for 
AAAI-20. If you are interested in sharing and learning cutting edge 
enabling technologies for AI powered IoT, please come to join us at AAAI-20!

Below is Call for Paper for your reference. More information are 
available at the website: https://aiotworkshop.github.io.

CFP: Artificial Intelligence of Things Workshop

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 connected things will grow to over 20 billion by 2020. 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 algorithms 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:
• On device machine learning algorithms
• Real-time computer vision and speech processing
• Learning-enabled IoT applications
• AI for Edge computing
• AI for IoT security and privacy
• Low-power AI for IoT systems
• Distributed inferencing and learning
• Optimized Blockchain for IoT
• 5G and IoT


The workshop will be a full day event with keynote, invited talks, 
technical paper presentation, and project showcase.


We solicit original papers in two formats – Technical Paper (6 pages) 
and project showcase (2 pages) in AAAI format. Submitted papers will be 
peer-reviewed and selected for presentation. Accepted papers will be 
published on the workshop’s website.
Submission site: 


General Chair: Yiran Chen (Duke University)
Program Chairs: Jian Zhang (Microsoft) and Jian Tang (DiDi ChuXing)
Steering Committee: Jie Liu (Harbin Institute of Technology), Jieping Ye 
(DiDi Chuxing), Marilyn Claire Wolf (Georgia Tech), Mani Srivastava 
(UCLA), Michael I. Jordan (UC Berkeley), Victor Bahl (Microsoft), 
Vijaykrishnan Narayanan (Penn State University)

If you have any question or need any additional information, please 
contact us at aiotworkshop at gmail.com.


Jian Zhang and Jian Tang
AIoT Workshop Program Co-chairs

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