Call for Papers
The Internet of Things (IoT) is the internetworking of physical devices with embedded electronics and an internet address that can transfer data without human interaction. Examples are wearable devices, environmental sensors, factory machinery, devices in homes and buildings, or vehicle components. These connected devices produce an exponentially growing amount of data. In fact, the amount of data is growing 2× faster (currently at 44E Bytes/month) than social and computer-generated data. IoT-generated data includes sensor data in time series format, image, sound and video data. Today, most of this data is unused.
This workshop will explore how AI techniques can be used to:
- Make sense of these vast amounts of IoT data
- Reason about connected physical systems and environments
- Assist humans with the execution of actions.
We are soliciting AI-related papers on topics such as
- Explainable predictions for time series data
- AI methods for intention analysis (e.g. prediction of activities and user goals)
- Activity recognition (in particular AI approaches for infrastructure mediated and device-free passive sensing)
- AI methods for modelling and reasoning in context
- AI methods for analysing uncertain sensor data
- AI problems while analysing massive amounts of sensor data (novel clustering and classification methods)
- Cooperative and collaborative data processing in dense indoor environments (e.g., multiagent systems, in-network processing approaches)
- AI methods for multimodal data analytics
- Intelligent reasoning in sensor-enhanced (mobile) crowd sourcing
- Ubiquitous/pervasive computing and context awareness
- AI methods to manage/improve information security in IoT systems
- IoT applications in areas such as electronics, buildings, retail, automotive
- Assisted living technologies and algorithms
- Decision support
As usual, the above list is indicative, not exhaustive.