AIS2C2 : International Conference on Artificial Intelligence and Sustainable Computing for Smart Cities

  in Conferences   Posted on November 2, 2020

Conference Information

Submission Deadline Monday 21 Dec 2020 Proceedings indexed by :
Conference Dates Mar 22, 2021 - Mar 23, 2021
Conference Address Greater Noida, India
Conference & Submission Link
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

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The First International Conference on Artificial Intelligence and Sustainable Computing for Smart Cities (AIS2C2) will be held on 22-23, March 2021. The theme of the conference this year will be AI-based Solutions for Smart Cities, Including a Pandemic. AIS2C2 is a coalition of six Universities from India and Europe. Besides contributions addressing the conference theme, authors are welcome to submit their original research results in traditional topics across broad application and functional domains, within the context of smart urban infrastructure systems. The technical areas include, but are not limited to:

Track 1: Community & Governance

Citizen participation
Leveraging Artificial Intelligence in Global Epidemics
Emergency management
Smart environment & ecosystems
Policy development
Mobility and transportation
Digital city and smart growth
Human-Computer Interaction
Sustainability and energy efficiency
Track 2: Infrastructure & Technology

Smart buildings and smart grids
Transportation and traffic systems
Smart city theory, modeling, and simulation
Manufacturing and logistics
Energy systems
Social Networks
Sensors and actuators
Intelligent infrastructure
Vehicle-to-infrastructure integration
Driverless Transportation System
Track 3: Data, Privacy, Communication & Security

Machine Learning
Artificial Intelligence
Data Analytics
Cyber-Physical Systems
Machine to Machine Communications and Interoperability
Computational intelligence
Open data and big data analytics
Internet of things (IoT)
Pattern recognition
(Cyber) security and
Networks and communications
Data security and privacy
Data collection and visualization

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