About CONF-SPML 2025

The 5th International Conference on Signal Processing and Machine Learning (CONF-SPML 2025) is a leading conference in the fields of signal processing and machine learning. CONF-SPML 2025 serves as an international platform for researchers, academics, industry practitioners, and university students around the world to converge and discuss the latest advancements, methodologies, and applications in signal processing and machine learning. It provides an excellent opportunity for both scholars and students interested in signal processing and machine learning to present their findings and achievements, thus promoting communication and cooperation.

To break the barriers of time and space and to provide seamless communication opportunities for worldwide participants, CONF-SPML 2025 will be organized distributedly with a series of workshops that will locate at different universities around the world.

CONF-SPML 2025 aims to bring together researchers and practitioners from academia and industry to highlight the importance of signal processing and machine learning as well as to boost new collaborations in these areas. The conference looks for significant contributions to trending technologies in signal processing and biomedical signal processing in theoretical and practical aspects.


The topics of interest include but are not limited to:

  • Artificial Intelligence Tools & Applications
  • Hybrid Intelligent Systems
  • Natural Language Processing
  • Computer Vision
  • Image process
  • Heuristic and AI Planning Strategies and Tools
  • Computational Theories of Learning
  • Intelligent System Architectures
  • Neural Networks and applications
  • Pervasive Computing and Ambient Intelligence
  • Reasoning and Evolution
  • Semantic Web Techniques and Technologies
  • Web Intelligence Applications and Search
  • Signal Processing for Communications
  • Radar & Array Processing
  • Seismic Signal Processing
  • Smart Grid Applications
  • Information Theory
  • Mobile Signal Processing
  • Control Theory & Applications
  • Big Data
  • IoT
  • Deep Learning
  • Autonomous Vehicles
  • Digital Home
  • Wearable Device
  • Immersive Computing
  • Social & Cloud Signal Processing
  • Green Signal Processing
  • M2M
  • Open Source Tools
  • Web 3.0.
  • Bio-Signal Processing
  • Medical Image Processing
  • 3D/4D Modeling
  • Multi-Dimensional Reconstruction
  • Multi-Modal Analysis
  • Health Informatics
  • Digital Pathology
  • Computer-Aided Diagnosis

Important Dates

Conference Date

January 8, 2025

Submission & Payment Deadline

Type Early Bird Submission Regular Submission
Paper Submission October 30, 2024 January 1, 2025
Review Process 2 weeks 2 weeks
Revise & Acceptance 2 weeks 1 week
Registration & Payment 2 weeks 1 week



We call for excellent papers and review them according to the requirements of each journal. Qualified submissions will be directly recommended for publication in the following journals or corresponding Special Issues. The journals listed below have been indexed by Science Citation Index (SCI)/Science Citation Index Expanded (SCI-E) and/or Social Science Citation Index (SSCI):

  • JCRQ2 - Sensors [Impact Factor: 3.9; CiteScore: 6.8]
  • JCRQ2 - Electronics [Impact Factor: 2.9; CiteScore: 4.7]
  • JCRQ2 - Machines [Impact Factor: 2.6; CiteScore: 2.1]

Please refer to the 'Information > Publication' page for specific recommendation rules and guidelines.

Conference Proceedings

Accepted papers of CONF-SPML 2025 will be published in conference proceedings, and will be submitted to Ei Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Inspec, Google Scholar, CNKI, and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.

Submission & Template

Please follow this link to find more info & requirements about submitting your paper

Submission Info

Review Process

The submission will first be reviewed for its topic and length, then go through an originality check. The peer-review process will begin soon after the paper is found to be qualified. The paper will be sent to have a double-blind peer review by two reviewers. They will judge the paper based on the theme, coverage, innovation, integrity, depth, and language. If the paper is accepted, notification of acceptance and review comments will be sent to the author via email. The actual review time may be different under certain situations.

Previous Speakers

Aydogan Ozcan

Stavros Shiaeles

Reader, Faculty of Technology, University of Portsmouth

Title of Speech: Collaborative Intrusion Detection System Using Blockchain Technology

Tharmalingam Ratnarajah

Sana Ullah Jan

Lecturer, School of Computing Engineering and the Built Environment, Edinburgh Napier University

Title of Speech: Sensor Fault Diagnostic Using Machine Learning

Kim, Hosung

Xingqing Xiao

Associate Professor in China Agricultural University

Title of Speech: Deep Learning for Food Monitoring

Partner Journals

CONF-SPML cooperates with the following journals and qualified papers have the opportunity to be recommended for publication in these journals.

Machines (ISSN 2075-1702) [IF 2.6, CiteScore 2.1 (2022)] is an international, peer-reviewed, open access journal on machinery and engineering published monthly online by MDPI. Journal Rank: JCR - Q2 (Engineering, Mechanical) / JCR- Q3 (Engineering, Electrical & Electronic). Manuscripts are peer-reviewed and a first decision provided to authors approximately 15 days after submission; acceptance to publication is undertaken in 2.9 days (median values for papers published in this journal in the first half of 2023).

For more information: https://www.mdpi.com/journal/machines

Sensors is an international, peer-reviewed, open access journal [JCR-Q2, Impact Factor: 3.9; CiteScore: 6.8 (2022)], which publishes reviews, research papers, and communications in various fields, including the science and technology of sensor and its applications. The goal of the journal is to encourage scientists to publish their experimental and theoretical results in as much detail as possible.

For more information: https://www.mdpi.com/journal/sensors