IEEE-SSCI 2018

2018 SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE



18 - 21 NOVEMBER, 2018, BENGALURU, INDIA


IEEE Symposium on

Computational Intelligence in Internet of Everything


Computational Intelligence (CI) constitutes an umbrella of techniques, has proven to be flexible in solving dynamic and complex real-world problems. These techniques typically include neural networks and learning algorithms, fuzzy systems, evolutionary computation and other emerging techniques for dealing with uncertainties encountered in evolutionary optimization, machine learning and data mining.

The manuscripts should be submitted in PDF format. Click Here to know further guidelines for submission.


The CI techniques are also widely used in Internet of Everything (IoEt) applications such as Internet of Things, Fog Computing, Edge Computing, and Cloud Computing towards sustainable computing infrastructure at different levels. A large amount of effort is being put toward achieving distributed artificial intelligence. The aforementioned concepts of fog computing, cloud computing, and edge computing are instances of distributive computing. Distributed Artificial Intelligence is a method to enable complex learning, planning, and decision-making problems in a decentralized fashion. It is able to execute large scale computation through distributed computing resources. These properties allow it to solve problems that require the processing of very large data sets. This approach, when put together with the idea of Internet of Everything, opens up a new world of applications of artificial intelligence in a localised manner.

It is clear that Computer Intelligence is going to play a huge role in the lives of the average human being. With the ongoing research in fields like distributive computing, fuzzy logic, neural networks etc, we can also be sure that the intelligence that will run the world will be far more advanced and heuristic than the kind we have today.

Topics

Specific topics of interest include, but are not limited to:

  •    Data Analytics middleware for Edge computing
  •    Cloud-based intelligent analytics
  •    Edge-node-driven data analytics
  •    Intelligent data synchronization and updating between Edge nodes or Cloud nodes
  •    Data metering for Edge nodes and Cloud nodes
  •    Intelligent pricing mechanisms for Edge nodes and Cloud nodes
  •    Data-driven privacy and security solutions in Edge computing and Cloud computing
  •    Case studies for data analytics using Edge nodes or Cloud nodes
  •    Internet of Everything for Biomedical/Healthcare Data and Imaging
  •    Internet of Everything for Brain Computer Interface/Human Machine Interaction
  •    Internet of Everything for Robotics/Humanitarian Science and Technology


Accepted Special Sessions

  • Computational Intelligence-based Solutions for Power Plant Safety and Security
    • Chairs:
      Tatiana Tambouratzis, University of Piraeus, Greece
      Email: tatianatambouratzis@gmail.com
    • More Information
  • Computational Intelligence-Based Methodologies for Environmental Sustainability and Sustainable Development: Theory and Applications
    • Chairs:
      Tatiana Tambouratzis, University of Piraeus, Greece
      Email: tatianatambouratzis@gmail.com
    • More Information
  • Computational intelligence for biomedical data and imaging
    • Chairs:
      Dr. M. Tanveer, Indian Institute of Technology Indore, India
      Email:mtanveer@iiti.ac.in
      Dr. Sonali Agarwal, Indian Institute of Information Technology Allahabad, India
      Email: sonali@iiita.ac.in
      Dr. Savitha Ramasamy, Institute of Infocomm Research, A*STAR, Singapore
      Email: ramasamy.savitha@gmail.com
      Dr. S. Vigneshwaran, Singapore Bio Imaging Consortium (SBIC), A*STAR, Singapore
      Email: vigneshwaran_subbaraju@sbic.a-star.edu.sg
      Dr. Reshma Rastogi (nee Khemchandani), South Asian University, New Delhi, India
      Email: reshma.khemchandani@sau.ac.in
    • More Information
  • Computational Intelligence for Humanitarian Technology
    • Chairs:
      Abhishek Appaji, B M S College of Engineering, Bengaluru, India
      Email: abhishek.ml@bmsce.ac.in
      Dr. Akshansh Gupta, Jawaharlal Nehru University, New Delhi, India
      Email: akshanshgupta@jnu.ac.in
      DrVipin Kumar, Mahatma Gandhi Central University, Bihar, India
      Email: vipinkumar@mgcub.ac.in
      Dr. Ashwini A M, IEEE Young Professionals Bangalore Section
      Email: ashwini.am@ieee.org
      Prof C T Lin, University of Technology Sydney, Australia
      Email: Chin-Teng.Lin@uts.edu.au
    • More Information
  • Computational Intelligence in Scalable Machine Learning Techniques for Genomics Data
    • Chairs:
      Dr. Aruna Tiwari
      Indian Institute of Technology Indore, India
      Email: artiwari@iiti.ac.in
      Dr. Neha Bharill
      Indian Institute of Information Technology Dharwad, India
      Email: nehabharill@iiitdwd.ac.in
    • More Information

Symposium Chairs


Prof. Geoffrey Fox
Indiana University, USA
Email: gcf@indiana.edu


Prof. Schahram Dustdar
TU Wien, Austria
Email: dustdar@dsg.tuwien.ac.at


Dr. Farookh Hussain
University of Technology Sydney, Australia
Email: farookh.hussain@uts.edu.au


Dr. Deepak Puthal
University of Technology Sydney, Australia
Email: deepak.puthal@uts.edu.au


Dr. Bo Yuan
University of Science and Technology of China, Hefei, China
Email: yuanb@sustc.edu.cn


Dr. Mukesh Prasad
University of Technology Sydney, Australia
Email: mukesh.prasad@uts.edu.au

Program Committee

Prof. HelshamElsayedUnited Arab Emirates (UAE) University, UAE
Dr. OmprakashKaiwartyaNorthumbria University, UK
Dr. Yousef AwwadDaraghmiPalestine Technical University, Palestine
Dr. EkaratRattaganMahanakorn University of Technology, Bangkok, Thailand
Dr. Akshansh GuptaJawaharlal Nehru University, New Delhi, India
Ms. AsmaAlkalbaniUniversity of Technology Sydney, Australia
Dr. Handing WangUniversity of Surrey
handing.wang@surrey.ac.uk
Dr. Ran ChenUniversity of Birmingham
ranchengcn@gmail.com

Symposia