New Trends in Big Data Analysis, Optimization, and Algorithms

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".

Deadline for manuscript submissions: 31 March 2025

Special Issue Editors


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Guest Editor
Laboratoire des Signaux et Systèmes (L2S UMR CNRS 8506), CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France
Interests: machine learning; signal processing; intelligent communication; automatic control; data analysis
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
De Vinci Research Center (DVRC), École Supérieure d'Ingénieurs Léonard de Vinci (ESILV), Paris, La Défense, France
Interests: artificial intelligence; computer vision; data processing; biomechanics

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Guest Editor
1. Department of Medical Diagnostic Imaging, College of Health Sciences, Sharjah University, Sharjah, United Arab Emirates
2. Research Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
3. Operational Research Center in Healthcare, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey
Interests: medical imaging; nuclear medicine; decision theory in healthcare; artificial intelligence in healthcare
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In today's era, which is characterized by an exponential growth in the amount of data being generated from various sources like social media, universe observation, environmental sensing, sensor devices, businesses, and online transactions, this deluge of data, widely known as "Big Data", poses unique challenges in terms of storage, processing, and analysis. Moreover, optimizing the processes of treating and analyzing such voluminous amounts of data is crucial for efficiently extracting valuable insights. This Special Iaims to bring together cutting-edge research on the latest trends in Big Danalysis, optimization, and algorithms, focusing on innovative methods, interdisciplinary approaches, and practical applications.

This Special Itargets researchers, engineers, data scientists, and professionals working in the fields of Big D, optimization, and algorithms. It aims to provide valuable insights into the latest trends, challenges, and solutions in these areas, thereby fostering knowledge sharing and collaboration across disciplines.

 

 

 

 

 

 

 

 

 

Prof. Dr. Hani Hamdan
Dr. Jinan Charafeddine
Dr. Dilber Uzun Ozsahin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Novel architectures and frameworks for Big Data processing
  • Advanced algorithms for Big Data analysis
  • Optimization in Big Data processing and analysis
  • Artificial intelligence and machine learning for Big Data
  • Security, privacy, and ethics in Big Data management
  • Practical applications and use cases of Big Data analysis across different sectors (healthcare, finance, environment, telecommunications, energy, etc.)
  • Visualization techniques for Big Data

Published Papers

This special issue is now open for submission.
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