The 7th International Workshop on
Data Science Engineering and its Applications (DSEA 2024)



In conjunction with
The 11th International Conference on Social Networks Analysis, Management and Security(SNAMS-2024)

Gran canaria, Spain 9-11 Dec 2024.

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 7th International Workshop for Data Science Engineering and Applications (DSEA 2024) 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
  • 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

General Co-chairs

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

    Thar Baker, Liverpool John Moores University, Liverpool, UK

Technical Program Co-chairs

    Ruofei Shen, Facebook, USA

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

Publication Chairs

    Efren Mezura-Montes, University of Veracruz, Mexico

    Vaskar Raychoudhury, Miami University, USA

    Samia Gamoura, Université de Lyon, France

    Parijat Shukla, Xilinx, Inc., India

Publicity Chairs

    Kavitha Kadarla, IIT Roorkee, India

    Sandra Sendra, Universidad de Granada, Spain

    Vikas Chouhan, IIT Roorkee, India

Technical Programme Committee

    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

    Sugam Sharma, Iowa State University, Iowa, USA

    Samia Gamoura, Université de Lyon, France

    Abdallah Khreishah, New Jersey Institute of Technology, USA

    Lavanya Sharma, Govind Ballabh Pant Engineering College, UK

    Sabeur Elkosantini, King Saud University, KSA

    Manisha Malhotra, Chandigarh University, India

    Ajay Chaudhary, Indian Institute of Technology Roorkee, India

    Vikas Chouhan, Indian Institute of Technology Roorkee, India

    Sabeur Elkosantini, King Saud University, KSA

    Derrouiche Ridha, Strasbourg University, France

    S B Goyal, City University, Malaysia

    Mahmoud Al-Ayyoub, Jordan University of Science and Technology, Jordan

    Elhadj Benkhelifa , Staffordshire University, UK E.Benkhelifa@staffs.ac.uk

    Thuraisingham, Bhavani, The University of Texas at Dallas, USA

    Mohammad AL-Smadi, Jordan University of Science and Technology, Jordan

    Christian Guetl, Graz University of Technology, Graz, Austria

    Mahmoud Al-Ayyoub, JUST, Jordan

    Qutaibah Althebyan, JUST, Jordan

    Suleyman Eken, Kocaeli University, Turkey.

    Andy Rindos, IBM Research, USA

    Jianwu Wang, University of California, San Diego, USA

    Ahmed Bouridane, University of Northumbria, UK

    Mohamed Abdel-Maguid, University Campus Suffolk, UK

    Elhadj Benkhelifa, Staffordshire University UK.

    Yaser Jararweh, Carnegie Mellon University, USA.

Important Dates
  • Submission Date: 8th Nov, 2024

    Paper Submission

  • 15th Nov, 2024

    Author's Notification

  • 20th Nov, 2024

    Camera-ready paper submission

  • 20th Nov, 2024

    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=snams2024.

Journal Special Issue

Selected papers from the workshop will be invited to submit an extended version to the one of the following journals:
1. Information Processing & Management (IP&M).
2. The Journal of Universal Computer Science (J.UCS).
3. International Journal of Spatio-Temporal Data Science.
Papers will be selected based on their reviewers’ scores and appropriateness to the Journal’s theme. All extended versions will undergo reviews and must represent original unpublished research work. Further details will be made available at a later stage.


Workshop Program: TBA



Sponsors and Organizers