Welcome to the official website of the International Conference on Artificial Intelligence, Machine Learning and Big Data Engineering (ICAIMLBDE – 2023). The conference will be held at Macau,China on 25th-26th August 2023. The aim objective of ICAIMLBDE is to present the latest research and results of scientists related Artificial Intelligence, Machine Learning and Big Data Engineering topics. This conference provides opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up to date scientific field. The organizing committee of conference is pleased to invite prospective authors to submit their original manuscripts to ICAIMLBDE.

All full paper submissions will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. The conference will be held every year to make it an ideal platform for people to share views and experiences in Computer Science and Information Technology related areas.

Journal/Paper Publication: All registered conference papers will be published Conference proceeding (Having ISBN Number) and the extended versions of the papers will be published in related reputed Scopus/ SCI/WoS/UGC Care Listed international journals.

Call for papers

ICAIMLBDE is the premier forum for the presentation of new advances and research results in the fields of Artificial Intelligence, Machine Learning and Big Data Engineering (ICAIMLBDE) . The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

Artificial Intelligence

AI Algorithms
Artificial Intelligence tools & Applications
Automatic Control
Bioinformatics
Natural Language Processing
CAD Design & Testing
Computer Vision and Speech Understanding
Data Mining and Machine Learning Tools
Fuzzy Logic
Heuristic and AI Planning Strategies and Tools
Computational Theories of Learning
Hybrid Intelligent Systems
Information Retrieval
Intelligent System Architectures
Knowledge Representation
Knowledge-based Systems
Mechatronics
Multimedia & Cognitive Informatics
Neural Networks
Parallel Processing
Pattern Recognition
Robotics
Semantic Web Techniques and Technologies
Soft computing theory and applications
Software & Hardware Architectures

Big-Data Engineering

Innovative Cloud infrastructure for Big Data
Green, energy – efficient models and sustainability issues for Big Data
Resource scheduling, SLA, Fault tolerance and reliability for Big Data
Data Models for Big Data Analytics
Machine Learning techniques for Big Data
Index Structures for Big Data Analytics
Interaction Design for Exploratory Analytics
Large-scale recommendation systems and graph analysis
Big data security, privacy, and services
Big Data applications on heterogeneous architectures such as healthcare, surveillance and sensing, e-commerce, and etc