For detailed information, please feel free to contact: cuiyanwen@ewapulishing.cn
To better assist you, we kindly ask that you include your submission code in your email when sending us your manuscript: UWLB1DALFD9M

Introduction
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The 4th International Conference on Software Engineering and Machine Learning (CONF-SEML 2026) is a leading conference on software engineering and machine learning. CONF-SEML 2026 is open to international participants. It provides an excellent opportunity for scholars interested in artificial intelligence and information technology to share their findings and achievements, thus promoting communication and cooperation.

The goal of this conference is to bring together researchers and practitioners from academia and industry to highlight the importance of computing and data science as well as establish new collaborations in these areas. The conference looks for significant contributions to machine learning and computer applications in theoretical and practical aspects.

Publication
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Accepted papers of CONF-SEML 2026 will be published in Applied and Computational Engineering (EWA Publishing), ISSN: 2755-273X OR Procedia Computer Science (Elsevier), ISSN: 1877-0509 according to the research field, which will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Inspec, Google Scholar, CNKI and other databases for indexing. The indexing result will be determined by the conference proceedings in which the paper is included.

Important Dates
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Submission Deadline:June 19, 2026
Conference Date: June 26, 2026
Notification of Acceptance: 7-20 workdays

Topics of Interest
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We invite submission of papers focusing on all aspects of computing and data science ranging from theoretical foundations to novel models and algorithms. We focus on challenges and applications in the fields of computing, machine learning, artificial Intelligence and data science. The topics of interest include but are not limited to:

Machine Learning
-Data Mining in Heterogeneous Networks
-Deep and Reinforcement Learning
-Distributed and Decentralized Machine Learning Algorithms
-Human-robot Interface and Interaction
-Network Slicing Optimization
-User Behavior Prediction
-Machine Learning in Knowledge-Intensive Systems
-Machine Learning Methods and Analysis
-Mechanism Design and Applications
-Mobile Sensor Networks
-Modeling and Identification
-Multi-agent Systems
-Natural Language Processing
-Pattern Recognition and Classification for Networks
-Robotic Automation and Control

Computer Applications
-AI Architecture and Practice
-AI Model and Algorithms
-Artificial Intelligence in Modeling and Simulation
-Artificial Intelligence in Scheduling and Optimization
-Cloud Computing Architecture
-Computer Vision and Object Recognition
-Concurrent and Parallel Processing
-Coordination in Robotics
-Data Visualization and Modern Technologies
-Distributed Intelligent Processing
-Intelligence and Language
-Intelligent Wireless Communications
-Intelligent Wireless Sensor Networks
-Internet of Things
-Software Frameworks and Simulations

Software Engineering
-Advanced Topics in Software Engineering
-Computer-Supported Collaborative Work
-Computer Graphics and Human-Computer Interaction
-Decision Support
-Distributed Computing
-Knowledge-Based Systems and Formal Methods
-Languages and Formal Methods
-Managing Software Projects
-Modeling Software Architecture
-Multimedia and Visual Software Engineering
-Quality Management
-Search Engines and Information Retrieval
-Software Engineering Decision Making
-Software Engineering Practice
-Software Maintenance and Testing
-Web Engineering