2nd International Conference on AI, Machine Learning and Data Science (AIMDS 2025)

2nd International Conference on AI, Machine Learning and Data Science (AIMDS 2025) will be an exceptional virtual platform for sharing knowledge and research findings in the theory, methodology, and applications of AI, Machine Learning, and Data Science. AIMDS 2025 emphasizes both theoretical research and practical applications in these fields. The conference seeks high-quality papers that address all technical aspects of AI, Machine Learning, and Data Science. Submissions from academia, industry, and government are encouraged, covering both traditional and emerging topics, as well as innovative paradigms, with a strong focus on real-world problems, systems and applications.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:

1. 2
nd
International Conference on AI, Machine Learning and Data Science (AIMDS 2025)
December 18 ~ 19, 2025, Virtual Conference
https://aimds2025.org/index
SCOPE
2
nd
International Conference on AI, Machine Learning and Data Science (AIMDS 2025) will
be an exceptional virtual platform for sharing knowledge and research findings in the theory,
methodology, and applications of AI, Machine Learning, and Data Science. AIMDS 2025
emphasizes both theoretical research and practical applications in these fields. The conference
seeks high-quality papers that address all technical aspects of AI, Machine Learning, and Data
Science. Submissions from academia, industry, and government are encouraged, covering both
traditional and emerging topics, as well as innovative paradigms, with a strong focus on real-world
problems, systems and applications.
Authors are solicited to contribute to the conference by submitting articles that illustrate research
results, projects, surveying works and industrial experiences that describe significant advances in
the following areas, but are not limited to:
Topics of interest
AI and Data Science
 Big Data
 Big Data Model
 Bioinformatics and Biomedical Image Analysis
 Business Data
 Chat bots
 Chat GPT
 Computer Graphics
 Cyber Security and Privacy for Big Data
 Data Analytics
 Data Classification and Regression
 Data Management
 Data Mining
 Data Science
 Data Science and Big Data
 Data Science and Machine Learning
 Data bases
 Deep Learning
 Explainable Artificial Intelligence
 Forecasting
 Hybrid Machine Learning Systems for Data Science

2.  Improved Internet Search
 Learning in knowledge-intensive systems
Learning Methods and analysis
 Learning Problems
 Machine Learning
 Machine Learning and Data Mining
 Machine Learning Recommender systems
 Machine Translation
 ML in Music, Art and Leisure
 Motion and Tracking
 Natural Language Processing
 Neural Networks
 No-Code Environment
 Pattern Recognition
 Quantum Computing
 Reinforcement Learning
 Social Media, Social Network and Social Data
 Social Network Analysis
 Time Series Analysis
Paper Submission
Authors are invited to submit papers through the conference Submission System by November
01, 2025. Submissions must be original and should not have been published previously or be under
consideration for publication while being evaluated for this conference. The proceedings of nde
conference will be published by International Journal on Cybernetics & Informatics
(IJCI) (Confirmed).
Selected papers from AIMDS 2025, after further revisions, will be published in the special issue
of the following journals
 International Journal of Artificial Intelligence & Applications (IJAIA)
 Machine Learning and Applications: An International Journal (MLAIJ)
 International Journal of Data Mining & Knowledge Management Process ( IJDKP )
 Information Technology in Industry (ITII)
Important Dates
 Submission Deadline: November 01, 2025
 Authors Notification: December 02, 2025
 Registration & Camera-Ready Paper Due: December 08, 2025

3. Contact Us
Here's where you can reach us: [email protected] or [email protected]