ISADES 2026: International Symposium on AI-Driven Engineering Systems
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Día de Entrega:
2026-04-25
Fecha de Notificación:
2026-05-20
Fecha de Conferencia:
2026-06-19
Ubicación:
Mbale, Uganda
Años:
2
Vistas: 430 Seguidores: 0 Asistentes: 0
Solicitud de Artículos
ISADES 2026 (International Symposium on AI-Driven Engineering Systems) is an academic conference held in Mbale, Uganda on 2026-06-19. The paper submission deadline is 2026-04-25. Acceptance notifications are sent on 2026-05-20.
Topics & Scope
Track 1: AI Foundations and Intelligent Systems
• Machine Learning & Deep Learning
• Reinforcement Learning
• Explainable AI (XAI)
• Generative AI
• AI Model Optimization
• Trustworthy and Ethical AI
Track 2: AI for Data Science and Decision Systems
• Predictive Analytics
• AI-driven Decision Support
• Time Series Forecasting
• Data Mining with AI
• Business Intelligence Systems
• AI in Financial Engineering
Track 3: AI in Communication and Networking
• AI for 5G/6G Networks
• Intelligent Routing
• Network Traffic Prediction
• Self-Organizing Networks
• AI-based Network Security
• Edge AI in Networking
Track 4: AI in Computational Methods and Optimization
• AI-based Optimization
• Metaheuristics with Learning
• Surrogate Modeling
• Simulation + AI Integration
• Hybrid Intelligent Algorithms
• Scientific Computing with AI
Track 5: AI in Electronics and Embedded Systems
• Edge AI / TinyML
• Intelligent Embedded Systems
• AI-enabled IoT Devices
• FPGA-based AI Acceleration
• Smart Sensors
• Real-time AI Systems
Track 6: AI in Software and Information Technologies
• AI-powered Software Engineering
• Intelligent Web Systems
• Cloud AI Platforms
• AI in DevOps
• Recommender Systems
• Human-AI Interaction
Track 7: AI for Cybersecurity and Privacy
• AI-based Threat Detection
• Anomaly Detection Systems
• Fraud Detection
• Privacy-preserving AI
• Adversarial Machine Learning
• Secure AI Systems
Track 8: AI in Energy and Power Systems
• Smart Grid Optimization with AI
• Load Forecasting
• Renewable Energy Prediction
• Fault Detection in Power Systems
• AI in Energy Management
• Electric Vehicle Systems
Track 9: AI in Robotics, Automation and Control
• Autonomous Systems
• Intelligent Control
• Robot Learning
• AI-based Industrial Automation
• Human-Robot Collaboration
• Swarm Robotics
Track 10: AI in Multidisciplinary Engineering Applications
• AI in Civil Engineering
• AI in Mechanical Engineering
• AI in Biomedical Engineering
• AI in Environmental Engineering
• Digital Twins
• Industry 4.0 / 5.0 Systems