fmlds

Welcome to International Conference on Future Machine Learning and Data Science (FMLDS2025), 02-05 November 2025, California, USA


The Conference on Future Machine Learning and Data Science, California, USA, 2025 (FMLDS2025) will bring international experts in Future Machine Learning Technologies, Artificial Intelligence, Computer Vision, Machine Learning Applications in Engineering and Data Science. The conference will be organised by Global Circle for Scientific, Technological and Management Research (GCSTMR) . GCSTMR endeavours to create a platform for young researchers to exchange ideas and share information with experts in their respective fields. GCSTMR fosters trans-national collaborations among its members and associates in research, training and professional activities.

The event will be held at the Holiday Inn, La Mirada – Buena Park, Anaheim, just a 7-minute drive from Disneyland. It is well connected by public transport to major landmarks such as Disneyland, Downtown LA, Hollywood, Long Beach, and more.

FMLDS2025 will feature keynote addresses from prominent world industry and academic leaders in Machine Learning and Data Engineering. It will span a wide spectrum of areas within Machine Learning and Data Science research, providing a platform for established and emerging researchers as well as industry practitioners to exchange insights and innovative ideas. FMLDS2025 welcomes paper submissions from both academic and industry researchers across all areas of Machine Learning and Data Science. Submissions may be either a 4-6 page regular paper or a 1-page abstract. All submitted papers will undergo a rigorous review process by two independent referees. Accepted, registered, and presented regular papers will be published in the conference proceedings by IEEE Xplore.


Conference Tracks


  • Future Machine Learning
  • Advancements of Machine Learning
  • Machine Learning in Engineering Applications
  • Pattern Recognition
  • Computer Vision and Graphics
  • Robotics and Automation
  • Bioinformatics and Biomedical Applications
  • Data Classification and Regression
  • Data Science and Big Data
  • Cyber Security and Privacy for Big Data
  • Knowledge Discovery, Integration and Transformation
  • Machine Learning in Social Media and Social Network
  • Machine Learning in Finance and Data Mining
  • Machine Learning in Internet of Things (IoT)



Publications


All the full papers submitted to FMLDS will be refereed by at least two independent reviewers based on the relevance of the conference, significance, technical quality, manuscript organization and uptodate references, and if accepted and registered will be published in the IEEE Xplore Digital Library.






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