Special Track on AI, Large Language Models, NLP, Knowledge Graphs, and Smart Intelligent Systems for Software Engineering and Advanced Applications (AI4SE 2026)
Artificial Intelligence continues to play a transformative role in shaping next-generation technological ecosystems. Recent breakthroughs in Large Language Models (LLMs), Generative AI, and Natural Language Processing (NLP) have accelerated the development of intelligent systems capable of advanced reasoning, language understanding, semantic knowledge representation, content generation, and humancomputer interaction.
These advancements are having a profound impact on software engineering by enabling intelligent automation in software development processes, including requirements engineering, code generation, software testing, debugging, software maintenance, defect prediction, and system optimization. AI-powered software engineering tools are increasingly becoming integral components in modern development environments and DevOps ecosystems.
Simultaneously, Smart Web technologies are evolving toward adaptive, semantic, context-aware, and personalized web environments that improve user engagement and system intelligence. Intelligent web systems now integrate machine learning, conversational AI, recommender systems, knowledge graphs, ontologies, semantic reasoning, and data analytics to support smarter digital services and applications.
The convergence of AI, semantic technologies, intelligent systems, and software engineering presents significant opportunities and research challenges for academia and industry alike. Emerging paradigms such as Retrieval-Augmented Generation (RAG), neuro-symbolic AI, multimodal LLMs, explainable AI, and intelligent decision-support systems are creating new possibilities for building scalable, trustworthy, and humancentered intelligent applications.
This track aims to explore these evolving directions and foster collaboration among researchers working on innovative theories, methodologies, architectures, frameworks, tools, and applications related to intelligent software systems and AI-powered web technologies.
This track welcomes original research papers, industrial experiences, case studies, and practical applications in, but not limited to, the following areas:
Artificial Intelligence
- Machine Learning and Deep Learning
- Explainable, Ethical, and Trustworthy AI
- Generative AI and Retrieval-Augmented Generation (RAG)
- Neuro-Symbolic AI and Hybrid Intelligent Systems
- Intelligent Decision Support Systems
- AI-driven Data Analytics and Knowledge Discovery
Large Language Models
- Prompt Engineering and Fine-Tuning Techniques
- Multimodal Large Language Models
- Efficient, Scalable, and Lightweight LLM Architectures
- Domain-Specific and Instruction-Tuned LLMs
- LLM Evaluation, Alignment, and Optimization
- Retrieval-Augmented LLM Applications
Natural Language Processing
- Conversational AI and Intelligent Chatbots
- Text Summarization and Text Analytics
- Question Answering and Information Retrieval Systems
- Arabic NLP and Multilingual Language Processing
- Sentiment Analysis and Opinion Mining
- Machine Translation and Cross-Lingual NLP
- NLP Applications in Healthcare, Education, and Business
Smart Web Systems and Semantic Technologies
- Semantic Web Technologies and Ontologies
- Knowledge Graphs and Intelligent Knowledge Representation
- Intelligent Information Retrieval and Semantic Search
- Intelligent Web Services and Personalization
- Adaptive and Context-Aware Web Applications
- Smart Recommender and Web-based Intelligent Systems
- Human-centered Intelligent User Interfaces
AI for Software Engineering
- AI-assisted Code Generation and Completion
- Automated Software Testing and Debugging
- Software Quality Prediction and Defect Analysis
- Intelligent Software Maintenance and Refactoring
- AI-driven Requirements Engineering and DevOps
- Intelligent Software Architecture and Optimization
AI Applications
- Smart Infrastructure and Digital Twin Systems
- Healthcare, Medical, and Financial AI Applications
- Cybersecurity, Threat Intelligence, and Anomaly Detection
- Intelligent Educational and E-learning Systems
- AI Applications in Industry, Business, and Smart Cities
- Intelligent Multimedia and Interactive Systems
- IoT, Edge AI, and Smart Environment Applications
All submissions for this special track must be written in English and conform to the Springer LNCS proceedings format with the following page limits: 15 pages for papers including references. Submitted papers will undergo a “double-blind” review process, coordinated by the Program Committee. To ensure anonymity of authorship, authors must ensure that authors’ names, affiliations, funding, and any other identifying information of authorship do not appear on the title page or elsewhere in the paper. Authors must provide the complete and final list of authors at the submission stage. No addition, removal, or change in the order of authors is allowed after submission.
Please use one of the following templates for the LNCS (Lecture Notes in Computer Science) format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
All paper submissions for this special track will be via Microsoft CMT (under “Special Track on AI, Large Language Models, NLP, Knowledge Graphs, and Smart Intelligent Systems for Software Engineering and Advanced Applications”).
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
| Submission Deadline (extended) | |
| Authors Notification (revised) | |
| Final Manuscript Due | 25 August 2026 |
*All deadlines are 23:59 Anywhere on Earth.
- Amjad Ratrout (Arab American University, Palestine) <[email protected]>
- Mohammed Maree (Arab American University, Palestine) <[email protected]>
- Ahmad Warad (Stardom University, Turkey) <[email protected]>
