ACTIVE
Updated 21st January, 2026
Conference
AMLDS 2026 : IEEE--2026 2nd International Conference on Advanced Machine Learning and Data Science
Conference Dates
July 21-23, 2026
Venue Location
Osaka, Japan
About the Conference
2026 2nd International Conference on Advanced Machine Learning and Data Science
Abbreviation: AMLDS 2026
Website: www.amlds.site
Date: July 21-23, 2026
Location: Osaka, Japan
AMLDS 2026 aims to enhance the state-of-the-art in Machine Learning and Data Science, as well as other promising areas of computing, by encouraging fresh, high-quality research discoveries and inventive solutions to tough machine learning challenges. Researchers, academicians, and professionals from all over the world are invited to submit original, unpublished research papers from all perspectives, including theory, practice, experimentation, and review papers highlighting specific research domains for presentation in the conference's technical sessions.
*PROCEEDINGS
-------------------
Accepted and presented papers will be included in IEEE Xplore and indexed by Ei Compendex, Scopus, etc.
*KEYNOTE SPEAKERS
------------------------
▪Prof. Witold Pedrycz, IEEE Life Fellow
University of Alberta, Edmonton, Canada
▪Prof. Loi Lei Lai, IEEE Life Fellow, IET Fellow
DRPT International Incorporated, Australia
More speakers are to be added...
*TOPICS
----------
We target contributions from both academia and industrials on the following topics, but not limited to:
⦁Machine Learning Foundations
Machine Learning System Design
Machine Learning Optimization
Supervised Learning
Unsupervised Learning
Reinforcement Learning
⦁Deep Learning and Data Engineering
Deep Neural Networks Optimization Algorithms
Deep Feedforward Networks
Regularization
Deep Convolutional Neural Networks
Deep Recurrent Neural Networks
⦁Machine Learning and Data Engineering
Machine Learning in Data Lakes
Machine Learning based Data Integration and Data Interoperability
Machine Learning Data Pipelines
Machine Learning based Data Streaming
Machine Learning Relating to Knowledge and Data Management
⦁Applications
Bioinformatics
Biomedical informatics
Computational Biology
Healthcare
Human Activity Recognition
*SUBMISSION
-----------------
1. Full Paper (Publication and Presentation)
2. Abstract (Presentation only)
Submission link: https://easychair.org/conferences/?conf=amlds2026
*IMPORTANT DATES
--------------------
▪Submission Deadline
February 10th, 2026
▪Notification Date
March 10th, 2026
▪Registration Deadline
March 30th, 2026
*AMLDS 2026 AWARDS
-------------------
▪Best Paper Award
▪Outstanding Paper Award
▪Best Student Paper Award
▪Best Oral Presentation Award
▪Best Poster Presentation Award
▪Best Reviewer Award
*VENUE
----------
Umeda Campus, Kansai University
Address: 1-5 Tsuruno-cho, Kita-ku, Osaka-shi, Osaka, 530-0014
*CONTACT
----------
Dr. Lily Van
[email protected]
website: www.amlds.site
Abbreviation: AMLDS 2026
Website: www.amlds.site
Date: July 21-23, 2026
Location: Osaka, Japan
AMLDS 2026 aims to enhance the state-of-the-art in Machine Learning and Data Science, as well as other promising areas of computing, by encouraging fresh, high-quality research discoveries and inventive solutions to tough machine learning challenges. Researchers, academicians, and professionals from all over the world are invited to submit original, unpublished research papers from all perspectives, including theory, practice, experimentation, and review papers highlighting specific research domains for presentation in the conference's technical sessions.
*PROCEEDINGS
-------------------
Accepted and presented papers will be included in IEEE Xplore and indexed by Ei Compendex, Scopus, etc.
*KEYNOTE SPEAKERS
------------------------
▪Prof. Witold Pedrycz, IEEE Life Fellow
University of Alberta, Edmonton, Canada
▪Prof. Loi Lei Lai, IEEE Life Fellow, IET Fellow
DRPT International Incorporated, Australia
More speakers are to be added...
*TOPICS
----------
We target contributions from both academia and industrials on the following topics, but not limited to:
⦁Machine Learning Foundations
Machine Learning System Design
Machine Learning Optimization
Supervised Learning
Unsupervised Learning
Reinforcement Learning
⦁Deep Learning and Data Engineering
Deep Neural Networks Optimization Algorithms
Deep Feedforward Networks
Regularization
Deep Convolutional Neural Networks
Deep Recurrent Neural Networks
⦁Machine Learning and Data Engineering
Machine Learning in Data Lakes
Machine Learning based Data Integration and Data Interoperability
Machine Learning Data Pipelines
Machine Learning based Data Streaming
Machine Learning Relating to Knowledge and Data Management
⦁Applications
Bioinformatics
Biomedical informatics
Computational Biology
Healthcare
Human Activity Recognition
*SUBMISSION
-----------------
1. Full Paper (Publication and Presentation)
2. Abstract (Presentation only)
Submission link: https://easychair.org/conferences/?conf=amlds2026
*IMPORTANT DATES
--------------------
▪Submission Deadline
February 10th, 2026
▪Notification Date
March 10th, 2026
▪Registration Deadline
March 30th, 2026
*AMLDS 2026 AWARDS
-------------------
▪Best Paper Award
▪Outstanding Paper Award
▪Best Student Paper Award
▪Best Oral Presentation Award
▪Best Poster Presentation Award
▪Best Reviewer Award
*VENUE
----------
Umeda Campus, Kansai University
Address: 1-5 Tsuruno-cho, Kita-ku, Osaka-shi, Osaka, 530-0014
*CONTACT
----------
Dr. Lily Van
[email protected]
website: www.amlds.site
Topics of Interest
Research papers are invited in, but not limited to, the following areas: