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SC-ML in IoT, BD and CPS 2020 : Special Session on Soft Computing and Machine Learning in IoT, Big Data and Cyber Physical Systems

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Link: http://2020.sococonference.eu/ss05-special-session-on-soft-computing-and-machine-learning-in-non-linear-dynamical-systems-and-fluid-dynamics-new-methods-and-applications/
 
When Jun 24, 2020 - Jun 26, 2020
Where Burgos, Spain
Submission Deadline Feb 3, 2020
Notification Due Apr 1, 2020
Final Version Due Apr 8, 2020
Categories    soft-computing   IOT   big data   cyber-physical systems
 

Call For Papers

Soft-computing and Machine Learning in IoT, Big Data and Cyber Physical Systems (SC-ML in IoT, BD and CPS)
http://2020.sococonference.eu/ss07-soft-computing-and-machine-learning-in-iot-big-data-and-cyber-physical-systems/
Postponed to 16-18 September 2020
Burgos, Spain

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Contents of the Session
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New sensors and network capabilities have enhanced the use of technology in a wide spread of fields, such as petroleum ducts, health services, education, factories, etc. The data availability has become a new problem, where Big Data technologies focus in the management and visualization of relevant information within the data flow. Furthermore, Machine Learning and Soft-Computing are techniques that have allow to extract knowledge from these streams of data. This special session focuses on solutions to all these problems and technologies, accepting studies that deals with IoT systems, Big Data solutions, Cyber Physical problems and the use of Soft-Computing and Machine Learning applied in these scenarios.

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Co-Chairs
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• José Ramón Villar, Computer Science Department, University of Oviedo (SPAIN)
• Nashwa El-Bendary, Arab Academy for Science, Technology and Maritime Transport AASTMT, (EGYPT)
• Qing Tan, School of Computing and Information Systems, Athabasca University (CANADA)

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Contact
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José Ramón Villar, e-mail: villarjose@uniovi.es
Nashwa El-Bendary, e-mail: nashwa.elbendary@ieee.org; nashwa.elbendary@aast.edu
Qing Tan, e-mail: qingt@athabascau.ca

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Scope
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The goal of this special session is to provide a platform for researchers, engineers, and industrial practitioners from different fields to share and exchange their ideas, research results, and experiences in the field of AI Advances and developments in IoT, Big Data, and Cyber-Physical Systems (CPS). Contributions to this special session are welcome to present novel methods, algorithms, frameworks, architectures, platforms, and applications.
Potential topics of interest include, but are not limited to the following:

- Advances in AI, Machine Learning, Deep Learning
- Testing and validation of AI applications
- Risks, limitations, and challenges of AI
- Smart cities and autonomous robots
- Telepresence robots and IoT-based CPS
- Architecture design and development of smart systems
- Standards, protocols, and methodologies for CPS and IoT
- Context-aware sensing and computing in IoT-based CPS
- CPS and wearable devices tracking
- Remote monitoring and interoperability in IoT
- AI and Big Data developments in life quality and healthcare
- Ambient intelligence and intelligent platforms for collaborative test-beds
- Open IoT platforms for modeling, simulation, and testing
- AI for IoT and CPS applications in environmental monitoring, transportation, and healthcare
- AI and CPS applications in Industry 4.0
- Big Data Analytics
- Human-Machine Interaction
- AI for IoT and Cloud Computing Integration

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Program Committee
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(Tentative, to be completed)
Larbi Esmahi, Athabasca University, CANADA (larbie@athabascau.ca)
Antony Bagnall, School of Computer Science, University of East Anglia, UK (Anthony.Bagnall@uea.ac.uk)
Oscar Lin, Athabasca University, CANADA (oscarl@athabascau.ca)
Alberto Cano, Department of Computer Science, Virginia Commonwealth University, USA (acano@vcu.edu)
Duwei Wen, Athabasca University, CANADA (dunweiw@athabascau.ca)
Dragan Simic, Faculty of Technical Sciences, University of Novi Sad, R. OF SERBIA (dsimic@eunet.rs)
Harris Wang, Athabasca University, CANADA (harrisw@athabascau.ca)
Enrique de la Cal, Computer Science Department, University of Oviedo, SPAIN (delacal@uniovi.es)
Xiaokun Zhang, Athabasca University, CANADA (xiaokunz@athabascau.ca)
Sung-Bae Cho, Department of Computer Science, Yonsey University, R. OF KOREA (scho621@hanmail.net)
Yu-Lin Jeng, Southern Taiwan University of Science and Technology, TAIWAN (jackjeng@mail.stust.edu.tw)
Irene Díaz, Computer Science Department, University of Oviedo, SPAIN (sirene@uniovi.es)
Yueh-Ming Huang, National Cheng Kung University, TAIWAN (huang@mail.ncku.edu.tw)
Ashraf Darwish, Helwan Universit, EGYPT (ashraf.darwish.eg@ieee.org)
Jairo Cugliari, Laboratoire ERIC, Université Lumière Lyon 2, FRANCE (Jairo.Cugliari@univ-lyon2.fr)
Kadry Ezzat, Higher Technological Institute, EGYPT (kadry_ezat@hotmail.com)
Noelia Rico, Computer Science Department, University of Oviedo, SPAIN (noeliarico@uniovi.es)
Lamia Nabil Mahdy, Higher Technological Institute, EGYPT (englamia_82@yahoo.com)
Beatriz de la Iglesia, School of Computer Science, University of East Anglia, UK (B.Iglesia@uea.ac.uk)
Bartosz Krawczyk, Department of Computer Science, Virginia Commonwealth University, Richmond, Virginia, USA (bkrawczyk@vcu.edu)

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