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RSM4CPS 2018 : The 1st International Workshop on Real-Time Stream Analytics and Machine Learning for Cyber-Physical Systems

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Link: https://sites.google.com/view/rsm4cps/home
 
When Jan 4, 2018 - Jan 4, 2018
Where IIT BHU Varanasi - with ICDCN 2018
Submission Deadline Sep 20, 2017
Notification Due Oct 20, 2017
Final Version Due Oct 30, 2017
Categories    cyber physical systems and iot   big data analytics   machine learning & data mining   real time stream computing
 

Call For Papers

The 1st International Workshop on Real-Time Stream Analytics and Machine Learning for Cyber-Physical Systems (RSM4CPS-2018) will be held on the Campus of IIT BHU Varanasi in conjunction with 19th International Conference at Distributed Computing and Networking (ICDCN 2018) on January 4th 2018.

This workshop will help in capturing inherent challenges and opportunities associated with real-time stream analytics and machine learning with respect to CPS. Focus of the workshop is in exploring the state of art technologies involved in real time analytics of infinite scale streaming data in context of Cyber Physical Systems (CPSs). Multi-dimensional aspects of distributed real time analytics and learning for wide range of applications such as health care, transportation, energy sector, and other domains will be evaluated in order to extract pros and cons along with futuristic advancements that is in progress or may be incorporated to enable large scale real-time and adaptive stream analytics and learning in CPSs. Overall goal of the workshop is to provide an inter-disciplinary open forum for academia and industry to exchange the knowledge and research experience on recent advancements in field of Cyber Physical System design equipped with real time stream analytics and learning in a robust, reliable and cost-effective manner.

Topics of interests include but are not limited to the following areas related to CPSs

Distributed data ingestion frameworks and tools
Distributed data storage architectures
Distributed data integration models and techniques
Semantic stream processing in dynamic environments
Distributed stream computing architectures and frameworks
Stream learning algorithms
Spatio-Temporal stream modeling techniques
Self-adaptive modeling for CPSs
Programming models for real time Cyber Physical Systems
Evolving algorithms for real time CPSs
Real time analytics in healthcare, aeronautics, transportation, energy, medical and other Cyber Physical Systems
Real time machine learning and Societal Cyber Physical Systems
IoT and Geo-Distributed real time analytics
Cloud based real time analytics for CPS
Stability, Safety, Reliability in real time Cyber Physical Systems
Security and Privacy modeling in CPS
Security risk analysis, evaluation and management

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