2025 IEEE International Conference on
Future Machine Learning and Data Science (FMLDS)
Welcome to 2025 IEEE International Conference on
Future Machine Learning and Data Science (FMLDS2025),
02-05 November 2025 Los Angeles, USA
The Conference on Future Machine Learning and Data Science
The Conference on Future Machine Learning and Data Science, Los Angeles, 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 IEEE FMLDS2025
The IEEE 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 at least two independent referees. Accepted, registered, and presented regular papers will be published in the conference proceedings.
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, registered and presented in the conference will be published in the conference proceedings by IEEE Xplore.
