CONF-SPML 2023

About CONF-SPML 2023

The 3rd International Conference on Signal Processing and Machine Learning (CONF-SPML 2023) is a leading annual conference. Academics, researchers, and students from across the world are all welcome to exchange findings and ideas to draw further inspiration in these research fields. This conference is supported by faculty members from the University of Edinburgh, University of California, Los Angeles, and University of Southern California.

CONF-SPML 2023 encourages communication and collaboration, hoping to provide an international platform for its participants to present, share, and learn the latest advance and development in signal processing and machine learning. It's a great opportunity to deepen your understanding of related topics.

Topics

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

  • 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

February 25, 2023

Submission & Payment Deadline

Type Early Bird Submission Regular Submission
Paper Submission September 24, 2022 January 6, 2023
Notification of Acceptance 2 weeks 2 weeks
Registration & Payment October 12, 2022 January 31, 2023

Publication

Conference Proceedings

Accepted papers of CONF-SPML 2023 will be published in IOP Journal of Physics: Conference Series (Print ISSN: 1742-6588) or Applied and Computational Engineering (Print ISSN: 2755-2721), and will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, DOAJ, Inspec, Scopus, Google Scholar, and other databases for indexing.

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 Science Citation Index Expanded indexed journals:

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.

History

CONF-SPML 2021 was held virtually during November 11-16, 2021. A total of 136 qualified submissions had been received and 65 papers were accepted. The papers were submitted by researchers from various countries worldwide, including China, the US, Australia, and so on. As usual, the online conference has invited 15% of our accepted submissions for oral presentations. Prof. Aydogan Ozcan from UCLA, Prof. Tharmalingam Ratnarajah from University of Edinburgh, and Prof. Kim, Hosung from University of Southern California were invited to deliver keynote speeches.

Previous Speakers

Aydogan Ozcan

Aydogan Ozcan, Ph.D.

Chancellor's Professor at UCLA, Volgenau Chair for Engineering Innovation

Title of Speech: Deep Learning-enabled Computational Microscopy and Sensing

Tharmalingam Ratnarajah

Tharmalingam Ratnarajah, Ph.D.

Professor in Digital Communications and Signal Processing, Institute for Digital Communications, University of Edinburgh

Title of Speech: Transceiver Design for FD Cellular - MIMO Radar Coexistence

Kim, Hosung

Kim, Hosung, Ph.D.

Assistant Professor of Neurology, University of Southern California

Title of Speech: Motion Synthesis and Retrospective Correction for Motion Artifact on Brain MRI

I visualize a time when we will be to robots what dogs are to humans, and I'm rooting for the machines.

Claude Shannon