14th International Conference on Machine Intelligence Theory and Applications (MiTA 2027)

February 11-18, 2027, Tasmania, Melbourne and Brisbane, Australia

Scope & Topics

14th International Conference on Machine Intelligence Theory and Applications (MiTA 2027) brings together researchers, academics, industry professionals, and experts working in machine intelligence theory, artificial intelligence, machine learning, and related computational fields.

The conference aims to provide an international forum for presenting recent research advances, innovative algorithms, theoretical developments, and practical applications in machine intelligence.

MiTA 2027 will feature plenary speeches, regular technical sessions, and special sessions covering a broad range of topics related to machine intelligence theory and applications. Participants who are unable to attend in person due to visa issues can also participate and present their work online.

Topics of Interest include, but are not limited to:

• Artificial Intelligence
• Machine Learning Theory
• Machine Learning Algorithms
• Neural Networks
• Connectionist Theory
• Neurodynamic Analysis
• Reinforcement Learning
• Autoencoders
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Generative Models
• Algorithmic Game Theory
• Cryptographic Applications
• Database Theory
• Computational Complexity
• Fuzzy Systems
• Fuzzy Sets and Fuzzy Clustering
• Fuzzy Classification
• Fuzzy Data Analysis
• Fuzzy Decision-Making
• Fuzzy Rule-Based Modeling
• Computer Vision
• Multi-Agent Systems
• Natural Language Processing (NLP)
• Information Technology
• Image Processing
• Software Engineering
• Mobile Computing
• Distributed Systems
• Recommendation Systems
• Evolutionary Computation
• Theory of Evolutionary Computation
• Evolution of Complex Systems
• Hybrid Evolutionary Computation Approaches
• GPU-Based Evolutionary Computation
• Evolutionary Transfer Optimization
• Multi-Objective and Many-Objective Optimization
• Constrained Optimization
• Data-Driven Evolutionary Computation
• Distributed Evolutionary Computation
• Large-Scale Optimization
• Evolutionary Computation in Multi-Agent Systems
• Evolutionary Computation with Data Privacy
• Real-World Evolutionary Computation Applications
• Data Structures
• Parameterized Complexity
• Streaming Algorithms
• Parallel Algorithms
• Algorithm Design
• Formal Languages
• Cryptography
• Theory of Security
• Network Security

Paper Submission

Researchers, academics, and industry professionals are invited to submit original research papers related to machine intelligence theory and applications.

Submissions may present theoretical contributions, innovative algorithms, experimental studies, computational methods, practical applications, or emerging developments in artificial intelligence, machine learning, optimization, evolutionary computation, and related areas.

Papers should be prepared using the IEEE conference paper format. The nominal paper length is 8 pages, including figures, tables, and references. Up to 2 additional pages are permitted subject to an overlength page charge. Papers must comply with the conference formatting requirements and will be evaluated through peer review.

Please refer to the official submission page for complete instructions:

MiTA 2027 Paper Submission Guidelines

Conference Program

MiTA 2027 will include plenary speeches, regular technical sessions, and special sessions covering machine intelligence theory, artificial intelligence, machine learning, optimization, evolutionary computation, computational complexity, and related research areas.

The main conference will take place in Tasmania from February 11-14, 2027. Workshops will follow in Melbourne on February 15-16 and Brisbane on February 17-18, 2027.

The conference will offer in-person participation, with online participation and presentation available for those unable to attend in person due to visa issues.

Important Dates