27th ATHENS World Congress on Computational Intelligence, Energy & Industrial Engineering (CIEIE-26) scheduled on June 3-5, 2026 Athens (Greece) is for the engineers, practitioners, scientists, researchers, scholars, and students from all around the world and it also includes the industry people to present ongoing research activities, and hence to foster research relations between Academia and industry. The conference is being organized by Emirates Research Publication (ERPUB) operting under Pilares D Elegancia LDA (Portugal). This conference provides opportunities for the delegates to share new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. All the submitted conference papers will be peer reviewed by the program/technical committees of the Conference.

Call for papers/Topics

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.