IEEE–2026 2nd International Conference on Advanced Machine Learning and Data Science

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 Researchers, academicians, and professionals from all over the world are invited to submit original, unpublished research papers from all perspectives, including theory, practice, experimentation, and review papers highlighting specific research domains for presentation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

▪Prof. Giuseppe Di Fatta

Free University of Bozen-Bolzano, Italy

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

May 10th, 2026

▪Notification Date

May 30th, 2026

▪Registration Deadline

June 10th, 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

amlds_conf@163.com

website: www.amlds.site