Welcome to 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), 20-23 November, 2024, Sydney, Australia


The Conference on Future Machine Learning and Data Science, Sydney, 2024 (FMLDS-2024) will bring international and national experts in Artificial Intelligence, Computer Vision, Future Machine Learning Technologies and Data Science. The conference will be jointly organised by Global Circle for Scientific, Technological and Management Research (GCSTMR) as its 7th World Congress and IEEE NSW Section. GCSTMR endeavours to create a platform for young researchers to exchange ideas and share information with experts in their respective fields.

The conference will be held in a hybrid format, both physical and virtual. The physical venue will take place at Western Sydney University’s Penrith campus, well connected by rail and road to Sydney CBD. Prominent landmarks such as Sydney Harbour, Sydney Opera House and Harbour Bridge, along with the Blue Mountains World Heritage National Park, are easily accessible from the conference venue. The virtual sessions will be conducted via Zoom.

FMLDS-2024 will feature keynote addresses by world leaders in Machine Learning and Data Science both from industry and academia. It will cover a wide range of areas within Artificial Intelligence (AI), Computer Vision, Future Machine Learning Technologies, Pattern Recognition, Motion Tracking, Cyber Security, Bioinformatics, Internet of Things and Data Science research where leading researchers as well as new researchers and computer practitioners will be able to exchange their views and ideas. All the papers submitted to FMLDS-2024 will be reviewed by at least two independent reviewers and if accepted will be published in the IEEE Xplore Digital Library.


Conference Tracks


  • Future Machine Learning
  • Advancements of Machine Learning
  • Data Science and Big Data
  • Pattern Recognition
  • Computer Graphics
  • Motion and Tracking
  • Bioinformatics and Biomedical Image Analysis
  • Data Classification and Regression
  • Cyber Security and Privacy for Big Data



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 will be published in the IEEE Xplore Digital Library.

Selected papers with at least a 40% extension will be considered for publication in the Special Issue on Emerging Applications of Machine Learning in Smart Systems, provided they meet the journal's acceptance criteria.


Plenary / Keynote/ Invited Speakers


 Professor Shui Yu

Professor Shui Yu

University of Technology Sydney, Australia
Web Link
 Professor Sanjay Jha

Professor Sanjay Jha

University of New South Wales, Australia
Web Link
 Professor Tanveer Zia

Professor Tanveer Zia

Notre Dame University, Australia
Web Link
 Professor Mohammed Bennamoun

Professor Mohammed Bennamoun

The University of Western Australia, Australia
Web Link

Jointly Organised By






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