ISADES 2027 · July 2–3, 2027

Tracks & Topics

ISADES 2027 welcomes original contributions on artificial intelligence techniques and their applications in engineering systems, including, but not limited to, the following tracks.

Conference Tracks

Track 1

AI Foundations and Intelligent Systems

Core methods, models and theory underpinning intelligent systems, from classical machine learning to foundation models and autonomous agents.

  • Machine Learning & Deep Learning
  • Reinforcement Learning
  • Foundation Models & Large Language Models
  • Agentic AI & Multi-Agent Systems
  • Generative AI
  • Explainable AI (XAI)
  • Federated Learning
  • Self-Supervised & Few-Shot Learning
  • AI Model Optimization
  • Trustworthy and Ethical AI
Track 2

Computer Vision and Image Processing

Visual perception and image understanding for engineering applications, including inspection, monitoring and 3D sensing.

  • Object Detection & Tracking
  • Image Segmentation
  • Medical Image Analysis
  • Visual Inspection & Defect Detection
  • 3D Vision & LiDAR Processing
  • Video Analytics
  • Remote Sensing & Satellite Imagery
  • Pattern Recognition
Track 3

Natural Language and Speech Processing

Language and speech technologies, from large language models to speech and emotion recognition and multimodal interaction.

  • Large Language Models & Applications
  • Speech Recognition & Synthesis
  • Speech Emotion Recognition
  • Machine Translation
  • Text Mining & Information Extraction
  • Conversational Agents & Chatbots
  • Multimodal AI
  • Low-Resource Language Processing
Track 4

AI for Data Science and Decision Systems

Data-driven analytics, forecasting and decision support for engineering, business and financial systems.

  • Predictive Analytics
  • AI-driven Decision Support
  • Time Series Forecasting
  • Data Mining with AI
  • Big Data Analytics
  • Business Intelligence Systems
  • AI in Financial Engineering
  • Causal Inference
Track 5

AI in Communication and Networking

Intelligent communication systems and networks, including AI-native 6G, edge intelligence and network security.

  • AI for 5G/6G & AI-Native Networks
  • Semantic Communication
  • Intelligent Routing
  • Network Traffic Prediction
  • Self-Organizing Networks
  • UAV & Satellite Networks
  • AI-based Network Security
  • Edge AI in Networking
Track 6

AI in Electronics and Embedded Systems

Efficient AI on hardware: embedded and edge intelligence, IoT devices, accelerators and neuromorphic computing.

  • Edge AI / TinyML
  • Intelligent Embedded Systems
  • AI-enabled IoT Devices
  • FPGA-based AI Acceleration
  • AI Accelerators & Hardware-Aware Design
  • Neuromorphic Computing
  • Smart Sensors
  • Real-time AI Systems
Track 7

AI for Cybersecurity and Privacy

AI for detecting and preventing threats, and methods that make AI systems themselves secure and privacy-preserving.

  • AI-based Threat Detection
  • Anomaly & Intrusion Detection
  • Fraud Detection
  • Privacy-preserving AI
  • Adversarial Machine Learning
  • Secure AI Systems
  • AI for Digital Forensics
  • Security of Cyber-Physical Systems
Track 8

AI in Energy and Power Systems

Intelligent generation, distribution and storage of energy, from smart grids and microgrids to battery systems and electric mobility.

  • Smart Grid Optimization with AI
  • Load Forecasting
  • Renewable Energy Prediction
  • Fault Detection in Power Systems
  • Battery Management & State-of-Health Estimation
  • Microgrids & Energy Management
  • Electric Vehicle Systems
  • Carbon-Aware & Green Computing
Track 9

AI in Robotics, Automation and Control

Learning-based control and autonomy for robots, vehicles and industrial automation.

  • Autonomous Systems
  • Autonomous Vehicles & ADAS
  • Intelligent Control
  • Reinforcement Learning for Control
  • Robot Learning & Embodied AI
  • AI-based Industrial Automation
  • Human-Robot Collaboration
  • Swarm Robotics
Track 10

AI in Health and Biomedical Engineering

AI for diagnosis, monitoring and treatment, including biomedical signals, wearable systems and assistive technologies.

  • Clinical Decision Support
  • Biomedical Signal Processing (EEG, ECG, EMG)
  • AI-assisted Diagnosis
  • Wearable & Remote Health Monitoring
  • Rehabilitation & Assistive Robotics
  • Drug Discovery & Bioinformatics
  • Mental Health & Affective Computing
  • AI in Medical Devices
Track 11

AI in Computational Methods and Optimization

Learning-enhanced optimization, simulation and scientific computing for complex engineering problems.

  • AI-based Optimization
  • Metaheuristics with Learning
  • Surrogate Modeling
  • Simulation + AI Integration
  • Physics-Informed Machine Learning
  • Hybrid Intelligent Algorithms
  • Scientific Computing with AI
  • Quantum Machine Learning
Track 12

AI in Software and Information Technologies

AI across the software lifecycle and in information systems, cloud platforms and human-AI interaction.

  • AI-powered Software Engineering
  • AI Code Generation & Testing
  • Intelligent Web Systems
  • Cloud AI Platforms
  • AI in DevOps & MLOps
  • Recommender Systems
  • Human-AI Interaction
  • AI in Engineering Education
Track 13

Smart Manufacturing and Industry 4.0/5.0

AI-driven production systems: digital twins, predictive maintenance, quality control and human-centric Industry 5.0.

  • Digital Twins
  • Predictive Maintenance
  • AI-based Quality Control
  • Process Monitoring & Optimization
  • AI in Mechanical Engineering
  • Supply Chain & Logistics Optimization
  • Additive Manufacturing
  • Industry 4.0 / 5.0 Systems
Track 14

Smart Cities, Transportation and Environment

AI for sustainable infrastructure, mobility and environmental systems.

  • AI in Civil & Structural Engineering
  • Structural Health Monitoring
  • Intelligent Transportation Systems
  • Smart Buildings & Infrastructure
  • AI in Environmental Engineering
  • Climate & Environmental Monitoring
  • Water Resources Management
  • AI in Agriculture & Food Systems
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