Conference Information

ISADES 2026: International Symposium on AI-Driven Engineering Systems

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Submission Date:
2026-04-25
Notification Date:
2026-05-20
Conference Date:
2026-06-19
Location:
Mbale, Uganda
Years:
2
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Call For Papers

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
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