Conference Tracks (ICSC-AISF 2026)

Track 1: Next-Generation AI and Scalable Intelligent Computing

• Foundation Models and Large Language Models (LLMs)
• Generative AI and Agentic AI Systems
• Edge AI, Cloud AI, and Distributed Intelligence
• High-Performance and Scalable AI Computing
• AI Optimization, AutoML, and Neural Architecture Search

Track 2: Intelligent Software Engineering and AI-Driven Development

• AI-Assisted Software Development and Code Generation
• Intelligent Software Testing and Quality Assurance
• Model-Driven Engineering and Digital Twins
• Software Maintenance, Evolution, and Technical Debt Analysis
• AI for Requirements Engineering and Software Project Management

Track 3: Cloud Economics, FinOps, and Enterprise Transformation

• Cloud Cost Optimization and FinOps Strategies
• Multi-Cloud and Hybrid Cloud Management
• Enterprise Digital Transformation and Cloud Migration
• Sustainable Cloud Computing and Green Data Centers
• Cloud Governance, Compliance, and Resource Optimization

Track 4: Autonomous DevSecOps, Cybersecurity, and Trustworthy AI

• AI-Driven Cybersecurity and Threat Intelligence
• DevSecOps Automation and Secure Software Delivery
• Explainable, Responsible, and Trustworthy AI
• Privacy-Preserving AI and Federated Learning
• Blockchain, Zero Trust, and Secure Cloud Computing

Track 5: Explainable and Multimodal AI for Healthcare Innovation

• Explainable AI for Clinical Decision Support
• Multimodal AI for Medical Diagnosis and Prognosis
• AI for Personalized and Precision Medicine
• Healthcare Data Analytics and Predictive Intelligence
• Ethical, Fair, and Responsible AI in Healthcare

Track 6: Cloud-Enabled Healthcare and Digital Medicine

• Cloud-Based Electronic Health Record (EHR) Systems
• Telemedicine, Remote Patient Monitoring, and Digital Health
• Secure Healthcare Cloud Infrastructure and Privacy
• IoT and Wearable Technologies in Healthcare
• AI-Enabled Healthcare Information Systems

Track 7: AIoT for Smart Healthcare and Biodiversity Sustainability

• AIoT Applications in Smart Healthcare
• Smart Sensors, Wearables, and Ambient Intelligence
• AI for Environmental Monitoring and Biodiversity Conservation
• Precision Agriculture and Smart Ecosystems
• Sustainable Smart Cities and Intelligent Environmental Systems

Track 8: Agentic AI and Intelligent Medical Imaging Systems

• Autonomous AI Agents for Healthcare Applications
• Deep Learning for Medical Image Analysis
• Computer Vision in Medical Imaging
• Radiomics, Image Segmentation, and Disease Detection
• Human-AI Collaboration in Clinical Imaging

Track 9: Intelligent Neurohealth Systems and AI for Mental Health

• AI for Brain Disorder Diagnosis and Prediction
• Intelligent Neuroinformatics and Brain-Computer Interfaces
• AI-Based Mental Health Assessment and Monitoring
• Wearable Neurohealth and Cognitive Computing
• Digital Therapeutics and Personalized Mental Healthcare