The IEEE International 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 held in a hybrid format, both physical and virtual. The physical venue is the Penrith Campus of Western Sydney University in Sydney, Australia. The virtual sessions will be conducted via Zoom.

All the papers submitted to IEEE FMLDS 2024 will be reviewed by at least two independent reviewers and if accepted it 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.


CONFERENCE THEMES


Future Machine Learning
• Explainable Artificial Intelligence
• Quantum Computing
• Big Data Model
• No-Code Environment
• Reinforcement Learning

Advancements of Machine Learning
• Improved Internet Search
• Chatbots
• ChatGPT
• Transportation Trends
• ML in Music, Art and Leisure

Pattern Recognition
• Fuzzy Logic, Learning Theory
• Reasoning with incomplete data
• Set Theory;
• Probabilistic Approaches Computing Paradigms
• Affective Computing
Computer Graphics
• Biometrics
• Aqua Farm
• Low- Level Vision and Image processing
Motion and Tracking
• Robotics
• Phase Array Antennae
• Applications of Radar
• Statistical Methods
• Testing and Performance Evaluation
Bioinformatics and Biomedical Image Analysis
• Bioinformatics
• Video Analysis and Event Recognition
• Signal Processing
• Support Vector Machine
• Bayesian Belief Networks
Data Classification and Regression
• Denoising
• Functional Recovery
• Interpretation and Approximation
• Spectral and Area Based Methods
• Data and Image Compression
Data Science and Big Data
• Cloud Computing
• High Performance Computing
• Scalable Computing
• Computations on GPU
• Information Retrieval
Cyber Security and Privacy for Big Data
• Cyber-attacks
• Cyber Security
Knowledge Discovery, Integration and Transformation
• Social Epidemiology, algorithms in Neuroscience
• Neuro-psychoanalysis
Social Media, Social Network and Social Data
• Classification of Diseases
• Cladistics
• Genomic Sequencing
• Developmental Biology
• Origin of Life
Financial Machine Learning and Data Mining
• Financial Engineering & Economics Applications
• Portfolio Optimization and Asset Allocation
• Algorithmic and Quantitative Trading
• Financial Data Analysis
Internet of Things
• IoT and Artificial Intelligence techniques
• IoT and Personal Data Protection
• Security and Privacy in IoT

KEY DATES

Closing date for paper submission: 31 July, 2024
Notification of acceptance/rejection to author: 16 August, 2024
Final (camera ready) paper due: 30 September
Early bird registration opens: 17 August, 2024
Conference date: 20 - 23 November 2024

KEYNOTE SPEAKERS

Professor Shui Yu, University of Technology Sydney, Australia
Professor Sanjay Jha, University of New South Wales, Australia
Professor Tanveer Zia, Notre Dame University, Australia
Professor Mohammed Bennamoun, University of Western Australia, Australia
Professor Tun-Wen Pai, National Taipei University of Technology, Taiwan
Dr Yoo Jang Hee, Electronics and Telecommunication Research Institute, Republic of Korea

AWARDS/GRANTS
• Full or Partial Travel Grant
• Full of Partial Registration Waiver
• WIE - Women in Engineering Award
• Best Paper Award

CO-ORGANIZERS

Western Sydney University, Australia
Charles Stuart University, Australia
Melbourne Institute of Technology, Australia
University of Notre Dame, Australia
University of Rajshahi, Bangladesh