First IFIP NTMS Workshop on Big Data and Emerging Trends (WBD-ET)

in conjunction with the

9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)


NTMS Workshop on Big Data and Emerging Trends (WBD-ET), will be a one day workshop that will be held in conjunction with the 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS). Papers published in the WBD-ET workshop will appear in the proceedings of NTMS 2018 conference. Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore.

Big data has become a challenge in the modern research because of its unprecedented degrees of heterogeneity. Complex systems produce emergent phenomena and unexpected behaviors that cannot be studied through the classical, reductionist and hypothesis-driven research methodology. The researcher faces the challenge of first discovering those unknown and interesting patterns by mining huge volumes of multidimensional data, before trying to explain, model or predict them.
Companies who miss big data opportunities of today will miss the next frontier of innovation, competition, and productivity. Big Data tools and Technologies help the companies to interpret the huge amount of data very faster which helps to boost production efficiency and also to develop new data‐driven products and services. So, big data applications are creating a new era in every industry.

While continuous improvements are addressing specific Big Data and Data Science issues data management, collection, analysis, evaluation, assessment, governess, clustering, data mining algorithms, machine learning algorithms, data sensing, infrastructure, modeling, security and privacy, statistical models, graph algorithms for big data and applications of big data in medical, healthcare and in IOT , several research areas are still emerging from new needs and challenges. To address these issues, WBD-ET 2018 workshop invites unpublished, high-quality contributions that focus on the applications, use-cases, architectures, deployments, and recent advances of Big Data and Emerging Trends. The workshop is an opportunity for researchers and industrials to share their ideas, experiences, and expectations on the future of Big Data and Emerging Trends. The workshop seeks original contributions that address the following topics, but not limited to:

  • Big data collection and analysis
  • Big data analytics
  • Social computing big data and networks
  • Big data evaluation and assessment
  • Big data governance and management
  • Big Data and Information Retrieval
  • Data mining and machine learning
  • Big data sensing and IoT frameworks and infrastructures
  • Big data infrastructures and warehouse
  • Big data modeling and frameworks
  • Big data security and privacy
  • Big data based monitoring, analysis and prediction
  • Big Data Clustering
  • Big Data and Smart Cities
  • Big Data in Medical and Healthcare
  • Big data and Statistics
  • Big Data and Graphs
  • Case Studies and Innovative Applications


  • Extended Submission DeadlineOctober 30th, 2017 November 20th, 2017
  • Acceptance notification: December 5th, 2017
  • Camera ready: January 5th, 2018
  • Workshop date: February 26-28th, 2018


Workshop Chair

  • Kassem Ghulam, University of Engineering and Technology, Peshawar, Pakistan
  • Shahid Kamal, Gomal University ,DIKhan, Pakistan
  • Muhammad Shoaib, COMSATS Institute of Information Technology, Sahiwal, Pakistan
  • Imran Ahmad, Riphah International University, Lahore, Pakistan

 TPC members

  • Erdal Erdal ,Kırıkkale University,Turkey
  • Siti Mariyam Shamsuddin, Universiti Teknologi Malaysia, Johor, Malaysia
  • M. Shamim Kaiser, Institute of Information Technology|Jahangirnagar University,Dhaka Bangladesh
  • Nupur Giri, Vivekanand Education Society Institute of Technology, Chembur, Mumbai, India.
  • Alok Ranjan,National Institute of Technology, Rourkela,India
  • Antony Arul Raj,VLB Janakiammal College of Arts and Science,- Bharathiyar University, Coimbatore, Tamilnadu, India
  • Taimur Sajjad, COMSATS Institute of Information Technology, Sahiwal, Pakistan
  • Javed Iqbal, Gomal University, DIKhan, Pakistan



 Papers are to be submitted electronically on the EDAS web site of the conference in PDF format: 

Submissions should be original and limited to 5 double-column pages, and should follow IEEE paper templates. Paper with more pages can be accepted however they need to be reduced to 5 pages for publication.

Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.

Submission process

Your paper must be printable in order to be accepted. The paper's cover page must include

the following information:

  • Title of paper.
  • Authors' names and affiliations.
  • Contact author's name and address (both postal and electronic).
  •  A short abstract.
  • Keywords.

In order to submit, you must first create an EDAS account. The EDAS system will e-mail you your password. Then you can login to EDAS using the password you have received by email.

EDAS will provide you with a submissions homepage where you can register your paper submission and make appropriate changes.

How to use EDAS to submit your paper:

  • Create an account in the EDAS system at TODO
  • Login to EDAS using your username and password (sent via email).
  • Click on the "submit paper" image to submit a new paper, or select an existing submission to edit.
  • Fill in the detail of the paper. You will be required to provide information for co-authors not already registered with the system. Choose as many topics as apply to your paper. Choose the submit button to register your paper.
  • Upload your paper using the provided form. You may choose not to upload a file immediately. You may upload a new version of your file at any time (prior to submission deadline) by returning to the EDAS system. Once you login, a list of submitted papers will be made available. Click on the upload image to upload a new version of your paper.

After submission, reviews of your paper can be accessed from your submission list. If you have problems with the system, please e-mail This email address is being protected from spambots. You need JavaScript enabled to view it.