Foundations of Data Mining and Software Engineering
• Algorithms, Models, and Theory for Data Mining
• Foundations of Software Engineering
• Formal Methods, Verification, and Model Checking
• Programming Languages, Type Systems, and Semantics
• Neuro Symbolic AI and Logic Guided Learning
Machine Learning, AI and Knowledge Discovery
• Large Scale Machine Learning and Deep Learning
• Generative AI, LLMs, and Autonomous AI Agents
• Retrieval Augmented Generation (RAG) Systems and Evaluation
• Multimodal, Self-Supervised, and Transfer Learning
• Explainable, Trustworthy, and Responsible AI
• Knowledge Graphs, Knowledge Based Systems, and Reasoning
• Privacy Preserving ML (Federated Learning, Differential Privacy)
• Causal Machine Learning and Causal Discovery
AI for Software Engineering (AI4SE)
• AI Driven Code Generation, Completion, and Synthesis
• Automated Software Testing, Debugging, and Repair
• AI Assisted Refactoring, Optimization, and Maintenance
• Prompt Engineering and Prompt Based SE Workflows
• Benchmarking and Evaluation of AI Models for SE
• Autonomous SE Agents for Planning, Coding, Testing, and Deployment
• Human AI Collaboration in Software Development
Software Engineering for AI Systems (SE4AI)
• Engineering LLM Based Applications and AI Native Systems
• Guardrails, Hallucination Mitigation, and Safety Layers
• Data Centric AI and Data Quality Engineering
• MLOps, DataOps, and Continuous Delivery for ML Systems
• ML System Observability, Drift Detection, and AI Incident Response
• AI Governance, Risk, and Compliance Engineering
Data Driven Software Engineering
• Mining Software Repositories (MSR)
• Empirical Software Engineering and Evidence Based Methods
• Developer Productivity, Behavior, and Cognitive Analytics
• Socio Technical Systems and Collaboration Analytics
• Software Analytics and Data Driven Decision Making
• Technical Debt Detection, Prediction, and Management
• Continuous Experimentation, A/B Testing, and Causal Inference in SE
Software Architecture, Systems and Platforms
• Cloud Native Software Engineering and Distributed Systems
• Microservices, Serverless Computing, and Containerization
• Edge, IoT, and Embedded Software Systems
• Cyber Physical and Real Time Systems
• Observability, Telemetry, and Runtime Analytics
• Performance Engineering and Optimization
• Quantum Software Engineering and Quantum Programming Tools
Software Quality, Testing and Reliability
• Automated Test Generation, Fuzzing, and Mutation Testing
• Software Reliability, Resilience, and Dependability
• Software Maintenance, Evolution, and Reengineering
• Quality Assurance, Metrics, and Continuous Improvement
• Performance, Scalability, and Stress Testing
Security, Privacy and Trust
• Software Security and Vulnerability Detection
• Secure Software Supply Chains and DevSecOps
• Threat Modeling, Attack Simulation, and Security Testing
• Adversarial ML, Robustness, and AI Safety
• Trustworthy Software Systems and Compliance
Web, Search, Mobile and Emerging Platforms
• Web Scale Systems and Web Engineering
• Search Engines, Information Retrieval, and Recommendation Systems
• Mobile, Ubiquitous, and Context Aware Computing
• AR/VR, Immersive Systems, and Interactive Software
• Blockchain, Smart Contracts, and Decentralized Applications
Applications, Domains and Interdisciplinary Areas
• Data Mining Applications in Healthcare, Finance, Education, and Smart Cities
• Learning Analytics, Educational Data Mining, and AI in Education
• Sustainable and Green Software Engineering
• Multimedia Systems, Vision Driven Applications, and Multimodal Analytics
• Social Computing, Digital Ecosystems, and Human Centered AI

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.