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

The 1st International Workshop on Real-Time Stream Analytics and Machine Learning for Cyber-Physical Systems (RSM4CPS-2018) will be held at the Campus of IIT BHU Varanasi in conjunction with 19th International Conference on 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 CPSs. Multi-dimensional aspects of distributed real-time analytics and learning for wide range of applications such as healthcare, 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