27th ATHENS World Congress on Computational Intelligence, Energy & Industrial Engineering: CIEIE-26

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.