Prof. Panagiotis G. Asteris
Professor, Computational Mechanics Laboratory
School of Pedagogical

Artificial Intelligence (AI) are methods that are poised to transform the way humans will interact with machines, and the role that machines will play in all spheres of human life. On the one hand, there is the exhilaration and excitement of the immense potential of these technologies to enhance and enrich human life, and on the other hand, there is fear and apprehension of a dystopian future where machines have taken over. These techniques are considered in the category of computer science, involved in the research and application of intelligent computer. Traditional methods for modelling and optimizing complex problems require huge amounts of computing resources, and computing-based solutions can often provide valuable alternatives for efficiently solving problems. Such techniques due to making non-linear and complex relationships between dependent and independent variables can be performed in the field of bioengineering with a high degree of accuracy. In this way, many new intelligence models can be introduced for different applications. This special season welcomes papers related to the application of various AI techniques such as Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector Machine (SVM), Relevance Vector Machine (RVM), Least Square Support Vector Machine (LSSVM), Genetic Programming (GP), Multivariate Adaptive Regression Spline (MARS), Minimax Probability Machine Regression (MPMR), Extreme Learning Machine (ELM), Deep Leaning (DL), Emotional Neural Network (ENN), Gaussian Process Regression (GPR),Random Forest (RM), Functional Network (FN), etc. in civil engineering. Hybrid and ensemble AI can be also adopted for solving various problems in civil engineering such as geotechnical engineering, concrete, structural engineering, water resources, environmental engineering, transportation engineering, etc. Hybrid machine learning models are developed based on metaheuristic optimization (MO). Various MO techniques (Genetic Algorithm (GA), Cat Swarm (CS), Grey Wolf (GW), Haris Hawks (HH), Artificial Bee Colony (ABC), Ant Colony Optimization (ACO), Ant Lion Optimization (ALO), Imperialist Competitive Algorithm (ICA), etc.) are applied for the development of hybrid IS. Interested authors can submit the papers related to various ensemble AI techniques such as random forest, gradient boosting, etc.

Authors should submit the manuscript on the following topics.

Submission of papers: 22 May 2022 (Hard deadline)
Notification of acceptance: 11 July 2022
Camera-ready papers: 25 July 2022
Registration & payment: 25 July 2022
Conference date: 28-30 November 2022