CONF-SPML 2027

About CONF-SPML 2027

The 7th International Conference on Signal Processing and Machine Learning (CONF-SPML 2027) is a leading conference in the fields of signal processing and machine learning. CONF-SPML 2027 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.

CONF-SPML 2027 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.

CONF-SPML 2027 is a hybrid conference, establishing an online session and welcoming participants from all countries and regions to join whenever and wherever possible. Meanwhile, to facilitate broader academic exchange and knowledge sharing, CONF-SPML 2027 will host multiple on-site symposium series. Authors are welcome to submit their manuscripts to the symposium series, each of which will independently handle the submission and review process.

Publication

All papers submitted to the conference will be assigned to the respective symposium committees based on factors such as submission date and topic relevance. Each symposium committee will then coordinate the peer review process, ensuring rigorous evaluation and making final decisions on acceptance and publication.

Conference Proceedings

Accepted papers of CONF-SPML 2027 will be published in conference proceedings according to the research field, which will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Google Scholar, CNKI and other databases for indexing. The indexing result will be determined by the conference proceedings in which the paper is included.

* Accepted manuscripts will be submitted to the publisher on a rolling basis. Early-registered papers are expected to be published and printed earlier.

Journals

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.

Call For Papers

The topics of interest include but are not limited to:

Machine Learning

  • Deep and Reinforcement Learning
  • Theories and Applications
  • Computational Optimization
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Automation

  • Computer Vision
  • Time Series Analysis
  • IoT
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Robotics and Intelligent Systems

  • Autonomous Vehicles
  • Robotic Vision
  • Drones
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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 2 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 in certain situations.

Important Dates

Venue Final Submission Date Notification of Acceptance
Online Session / February 26, 2027 /
Symposium February 19, 2027 February 26, 2027 7-20 workdays
You may visit the following pages for more details.
Submission Info or Registration Info

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