CIEIE-26 2026 - 27th ATHENS World Congress on Computational Intelligence, Energy & Industrial Engineering (CIEIE-26) June 3-5, 2026 Athens (Greece)

Website https://eaceee.erpub.org/conference/201 | Edit Freely

Category Computational Intelligence, Energy & Industrial Engineering

Deadline: May 15, 2026 | Date: June 03, 2026-June 05, 2026

Venue/Country: Athens, Greece

Updated: 2026-01-05 18:48:08 (GMT+9)

Call For Papers - CFP

Topics of Interest for Submission include, but are Not Limited to:

1. Computational Intelligence

Computational Intelligence focuses on sub-symbolic AI that can handle uncertainty and incomplete data.

Neural Networks (Deep Learning):

Convolutional Neural Networks (CNNs) for fault detection.

Recurrent Neural Networks (RNNs) and LSTMs for time-series energy forecasting.

Generative Adversarial Networks (GANs) for synthetic data generation in sparse industrial environments.

Fuzzy Logic Systems:

Type-1 and Type-2 Fuzzy Logic for control systems.

Fuzzy Decision-Making in uncertain industrial environments.

Evolutionary Computing:

Genetic Algorithms (GA) for multi-objective optimization.

Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO).

Differential Evolution for engineering design.

Hybrid Systems:

Neuro-fuzzy systems (ANFIS).

Evolutionary Neural Networks.

2. Energy Engineering

This domain focuses on the generation, distribution, and efficient use of power through CI-enhanced tools.

Smart Grid Management:

Demand Side Management (DSM) and response forecasting.

Grid stability and frequency control using CI.

Microgrid optimization and islanding detection.

Renewable Energy Systems:

Solar irradiance and wind speed prediction.

Maximum Power Point Tracking (MPPT) using fuzzy logic.

Optimal placement of wind turbines and solar farms.

Energy Storage & Battery Management:

State of Charge (SoC) and State of Health (SoH) estimation.

Optimization of thermal management systems.

Second-life battery application modeling.

Thermal & Nuclear Energy:

Combustion process optimization.

Heat exchanger network synthesis.

Nuclear reactor safety monitoring using pattern recognition.

3. Industrial Engineering & Operations

This domain applies CI to streamline manufacturing, logistics, and human-machine interaction.

Smart Manufacturing (Industry 4.0/5.0):

Digital Twins and Cyber-Physical Systems (CPS).

Additive Manufacturing (3D Printing) process optimization.

Real-time quality monitoring using machine vision.

Predictive Maintenance (PdM):

Remaining Useful Life (RUL) estimation of industrial machinery.

Vibration analysis and acoustic emission for fault diagnosis.

Supply Chain & Logistics:

Vehicle Routing Problems (VRP) using swarm intelligence.

Inventory management under stochastic demand.

Warehouse automation and robotics.

Human Factors & Ergonomics:

Cognitive workload assessment using CI.

Human-Robot Collaboration (HRC) safety protocols.

Biomechanical modeling of industrial tasks.

4. Integrated & Cross-Disciplinary Applications

Where the three fields overlap to create sustainable, autonomous systems.

Energy-Aware Manufacturing:

Scheduling production lines to minimize peak energy consumption.

Carbon footprint tracking and reduction via CI optimization.

Industrial Internet of Things (IIoT):

Edge computing for real-time energy data processing.

Cybersecurity in energy infrastructure and smart factories.

Soft Computing in Policy:

Life Cycle Assessment (LCA) of industrial products.

Energy market price forecasting and risk management.