Artificially Intelligent Smart SocieTies (AIST)

All papers accepted and presented in the workshop will be published in the main conference proceedings and submitted in the IEEE Xplore Digital Library

High quality accepted papers will be considered for publication (after extension) in a SCI indexed journal.

• Dr. Zhiwen Yu will deliver a key-note speech on Cross-Space Crowd Sensing: Concepts, Technologies, and Practices

New Deadline for Paper Submission: April 9, 2017

First IEEE International Workshop on Artificially Intelligent Smart SocieTies (AIST) will be held in Hong Kong, China in conjunction with the 3rd IEEE International Conference on Smart Computing (SMARTCOMP2017).

Smart computing aims to collect voluminous data through sensors embedded in the surrounding environment and take intelligent decisions with regards to certain events. E.g., a smart healthcare system remotely monitors elderly individuals living alone in homes and look for emergency health related events, such as, accidental fall or sudden stroke, etc. The system collects vital signs through wearable health sensors and use AI or machine learning techniques to decide on the event. So, we can observe that the applications of intelligent techniques are inevitable for developing smart systems (smart cities, smart home, office, hospital, meeting rooms, cars) and applications with capabilities to interpret the information and to take informed decisions. With the rise of interest in building smart applications, we encounter various real world problems which can benefit the society as a whole, if solved properly. For, e.g, (a) efficient water quality monitoring can ensure proper quality of water served for drinking, industry or agricultural purposes depending on specific requirements; (b) efficient healthcare assistant can track health status of elderly individuals staying alone in home to make decisions during emergency events through continuous learning; or (c) they can provide tailored services to patients in smart hospitals, (d) intelligently choosing proper sensor or communication interface depending on the data volume, communication requirement and importance of the event, (e) providing intelligent road traffic routing depending on action priorities of the user and based on the congestion condition which can further depend on weather or any other unexpected events, such as, accident, strike, etc.

AI for Social Good has been identified as an emerging area by the Computing Community Consortium, USA. This workshop will focus on the aforementioned objectives and will give a platform to showcase smart systems developed using AI and machine learning techniques and handles large amounts of sensory data. Almost all real-world problems, which are important for the societal welfare, and could potentially be solved using AI techniques, can be presented in this workshop by researchers from industry and academia. In general, we want to focus on solutions of the following questions: (a) how to design smart systems with autonomous coordination capabilities; (b) how to develop intelligent decision making abilities in emergency and safety-critical systems, and (c) how to handle real-time conditions innovate computing technology for diverse societal applications to improve the human experience.

In summary, the aims of the workshop are to:

1. Draw the attention of the intelligent system developers to the research challenges and opportunities in applying AI techniques for developing smart cities.
2. Draw the attention to the multifaceted nature of smart cities e.g., transportation, energy, water management, building, infrastructure, healthcare, etc.
3. Identify unique issues of this domain and what new (hybrid) techniques may be needed. Also how old AI and machine learning techniques can be applied to interpret the large scale sensor data arising out of smart city application domains.
4. Promoting more cities to become smart cities
5. Provide a platform for sharing best-practices and discussion