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

CIEIE-26


Computational Linguistics Computational Mathematics



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.