Computational Intelligence in Emerging Technologies for Engineering Applications

Orestes Llanes Santiago received his Electrical Engineer degree from the Universidad Tecnológica de La Habana “José Antonio Echeverría” – CUJAE, Cuba, in 1981. From 1989 to 1994, he pursued graduate studies at the Universidad de Los Andes, Venezuela, where he completed a Master’s degree in Control Engineering (1990) and a PhD in Applied Sciences (1994). He is currently a Full Professor and Researcher at the Faculty of Automation and Biomedical Engineering at the CUJAE and Titular Member of the Cuban Academy of Sciences. His areas of interest are fault diagnosis in industrial systems, nonlinear control, inverse problems and computational intelligence with applications to control.Carlos Cruz Corona is an Associate Professor at the Department of Computer Science and Artificial Intelligence at the University of Granada, Spain. He obtained an Electronic Engineering degree (1986) from the Universidad Central de Las Villas, and a Master’s in Computer Science from the Universidad Tecnológica de La Habana José Antonio Echeverría, CUJAE (1995), both in Cuba, as well as a PhD from the University of Granada, Spain (2005). His fields of research include optimization, decision making, route personalization, and design problems.Antônio José da Silva Neto is a Full Professor at the Polytechnic Institute of Rio de Janeiro State University, Brazil. He holds Bachelor’s and Master’s degrees in Mechanical and Nuclear Engineering, respectively, both from the Federal University of Rio de Janeiro (1983, 1989), and a PhD in Mechanical Engineering from North Carolina State University, USA (1993). He is a Titular Member of the Brazilian National Academy of Engineering (ANE), and former president of the Brazilian Scientific Societies on Mechanical Sciences and Engineering (ABCM) and Computational and Applied Mathematics (SBMAC).  His main research interests are in heat and mass transfer, numerical methods, optimization, computational intelligenceand inverse problems.José Luis Verdegay is a Full Professor at the Department of Computer Science and Artificial Intelligence, University of Granada, Spain, where he received his Master’s in Mathematics (1975) and his PhD (1981). He is an IFSA member, IEEE Senior Member and Honorary Member of the Cuban Academy of Mathematics and Computation. His research interests are in soft computing, fuzzy sets and systems, decision autonomous systems, metaheuristic algorithms, and nature inspired systems.

• Uncertainty Analysis of a Near-field Acoustic Levitation System.- Uncertainty Quantification and Statistics of Curves and Surfaces.- Meta-heuristic approaches for automatic roof measurement in solar panels installations.- Solution of a Coupled Conduction-Radiation Inverse Heat Transfer Problem with the Topographical Global Optimization Method.- Towards Intelligent Optimization of Design Strategies of Cyber Physical Systems: Measuring Efficacy through Evolutionary Computations.- A Novel Approach for Leak Localization in Water Distribution Networks using Computational Intelligence.- Determination of Nano-Aerosol Size Distribution using Differential Evolution.- Estimation of Timewise Varying Boundary Heat Flux via Bayesian Filters and Markov Chain Monte Carlo Method.- Health monitoring of automotive batteries in fast-charging conditions through a fuzzy model of the incremental capacity.- Fault Detection and Isolation in Smart Grid Devices using Probabilistic Boolean Networks.- EvaluatingAutomated Machine Learning on supervised regression Traffic Forecasting Problems.- Multi-robot coalition formation and task allocation using immigrant based adaptive genetic algorithms.- Lidar and Non-Extensive Particle Filter for UAV Autonomous Navigation.- Quasi-optimization of the Time Dependent Travelling Salesman Problem by Intuitionistic Fuzzy Model and Memetic Algorithm.- Analyzing Information and Communications Technology national indices by using Fuzzy Datamining Techniques.