The 7th International Workshop on
Data Science Engineering and its Applications (DSEA 2023)



In conjunction with
The 10th International Conference on Social Networks Analysis, Management and Security(SNAMS-2023)

Abu Dhabi, UAE. November 21-24, 2023.

Today, Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. It involves many domains, such as signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytic, data warehousing, data compression, computer programming, etc. High Performance Computing typically deals with smaller, highly structured data sets and huge amounts of computation. Data Science has emerged to tackle the problem of creating processes and approaches to extracting knowledge or insights from gigantic, unstructured data sets.

The 6th International Workshop for Data Science Engineering and Applications (DSEA 2023) aims to provide a forum that brings together researchers, industry practitioners and domain experts for discussion and exchange of ideas on the latest theoretical developments in Data Science and Computing as well as on the best practices for a wide range of applications.

The topics of interest for this workshop include, but are not limited to:

  • Architecture, management and process for Data Science
  • Big Data Mining and Knowledge Management
  • Evaluation and Measurement in Data Science
  • Privacy and protection standards and policies for Data Science
  • Data Quality
  • Data science for the internet of things (IoT)
  • Management Issues of Social Network Big Data
  • Big Data Computing for Data science/li>
  • Social Network and Big Data Analytics
  • Open Source tools for Data Science and Big Data
  • Data Mining for Data science
  • High performance computing for data analytic
  • Mathematical Issues in Data Science and Applications
  • Cloud Computing for Big Data and Social Networks
  • Data Science and Big Data for the Internet of Things
  • Data Science and Big Data Management for Large-scale databases
  • Data Science and Big Data for Decision Making
  • Visualization tools for Data Science and Big Data
  • Data-driven Scientific Research
  • Data warehouses and cloud computing support for Data Science
  • Case studies

Organising Committee

    Sateesh Kumar Peddoju, Indian Institute of Technology Roorkee, Roorkee, India

    Rami Mohawesh, Al Ain University,, UAE

    Ruofei Shen, Facebook, USA

    Sugam Sharma, Founder & CEO, eFeed-Hungers.com, USA

    Efren Mezura-Montes, University of Veracruz, Mexico

    Vaskar Raychoudhury, Miami University, USA

    Samia Gamoura, Université de Lyon, France

    Parijat Shukla, Xilinx, Inc., India

    Kavitha Kadarla, IIT Roorkee, India

    Sandra Sendra, Universidad de Granada, Spain

    Vikas Chouhan, IIT Roorkee, India

    Halil Ibrahim Koruca, SDU, Turkey

    Benyamina Abou El Hassan, University of Oran, Algeria

    El Abbassia Deba, University of Oran, Algeria

    Dileep Kumar Yadav, Jawaharlal Nehru University, India

    Loukil Lakhdar, University of Oran, Algeria

    Manoj Agarwal, Microsoft

    Rajesh P, K L University, India

    Efren Mezura-Montes, University of Veracruz, Mexico

    Sandra Sendra, Universidad de Granada, Spain

    Vaskar Raychoudhury, Miami University, USA

Important Dates

  • Submission Date: 13 October , 2023 (Firm and Final)

    Paper Submission

  • 25 Oct. 2023

    Author's Notification

  • 5th Nov, 2023

    Camera-ready paper submission

  • 5th Nov, 2023

    Registration Deadline

Submission Instructions

Papers selected for presentation will appear in the DSEA - SNAMS Proceedings, which will be published by the IEEE Computer Society and be submitted to IEEE Xplore for inclusion. Papers must be 6 pages in IEEE format, 10pt font using the IEEE 8.5" x 11" two-column format, single space, A4 format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. Papers should be submitted electronically by the deadline to: https://easychair.org/conferences/?conf=snams2023.


Workshop Program: TBA