7th International Conference on Machine Learning and Soft Computing (MLSC 2026) 

February 27 ~ 28, 2026, Vancouver, Canada

Scope

7th International Conference on Machine Learning and Soft Computing (MLSC 2026)  will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications Machine learning and Soft Computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. 

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 include, but are not limited to, the following

Machine Learning Foundations & Algorithms

·         Foundations of machine learning
·         Supervised, unsupervised, and semi supervised learning
·         Clustering, dimensionality reduction, and representation learning
·         Probabilistic models and Bayesian learning
·         Reinforcement learning and sequential decision making
·         Evolutionary, genetic, and bio inspired learning algorithms
·         Ensemble learning and model aggregation
·         Inductive logic programming and symbolic learning
·         Neuro symbolic and hybrid learning architectures
·         Multi strategy and multi agent learning
·         Automated knowledge acquisition and reasoning
·         Explainable, interpretable, and trustworthy ML


 Deep Learning & Neural Computation
 
 

·         Deep neural networks and advanced architectures
·         Generative AI and foundation models
·         Multimodal learning (vision–language–audio)
·         Graph neural networks and relational learning
·         Continual, transfer, and meta learning
·         Neural computing and biologically inspired models
 
 Natural Language, Vision & Intelligent Perception
·         Natural language processing and understanding
·         Machine learning for information retrieval
·         Computer vision, pattern recognition, and image/video analytics
·         Perception based intelligent decision systems
·         Multisensory and perceptual computing


 Soft Computing Foundations & Techniques
 
 

·         Fuzzy logic, fuzzy systems, and approximate reasoning
·         Stochastic, probabilistic, and uncertainty aware computing
·         Evolutionary computation and multi objective optimization
·         Morphic computing and biologically inspired soft computing
·         Soft computing for pattern recognition and intelligent decision making
·         Intelligent Systems & Agent Based Computing
 
 

Intelligent software agents and architectures

·         Multi agent systems and distributed intelligence
·         Cognitive and integrated learning architectures
·         Learning from instruction, demonstration, and interaction
·         Human centered and interactive intelligent systems


 Data Mining, Knowledge Discovery & Big Data Analytics
 
 

·         Data mining theory, algorithms, and applications
·         Social network analysis and mining
·         Large scale data analytics and distributed ML
·         Soft computing for Big Data and high dimensional data
·         Visualization of patterns, models, and complex datasets


 Optimization, Search & Evolutionary Intelligence
 
 

·         Global optimization and heuristic search
·         Multi objective evolutionary algorithms
·         Swarm intelligence and nature inspired optimization
·         Hybrid optimization frameworks combining ML and soft computing


 Applications of ML & Soft Computing
 
 

·         Bioinformatics, healthcare, and biomedical intelligence
·         Robotics, autonomous systems, and intelligent control
·         Finance, business intelligence, and decision support
·         Smart environments, IoT, and cyber physical systems
·         Computer graphics, animation, and creative AI
·         Industrial, scientific, and engineering applications


 Emerging Trends & Future Directions

·         Responsible, ethical, and fair AI
·         Green and energy efficient ML
·         Quantum machine learning and quantum inspired soft computing
·         Edge AI, TinyML, and on device intelligence
·         Advances in explainability, safety, and robustness

Paper Submission

Authors are invited to submit papers through the conference Submission System by January 10, 2026. 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 the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from MLSC 2026, after further revisions, will be published in the special issues of the following journals

Important Dates

·         Submission Deadline:  January 10, 2026
·         Authors Notification: February  10, 2026
·         Registration & camera - Ready Paper Due: February 17, 2026

 

Contact Us

Here's where you can reach us: mlsc@acsty2026.org (or) mlsc.conf@yahoo.com