Expertise
Multivariate Statistical Process Control
Theoretical foundations and applications of PCA and PLS methods for fault detection and diagnosis of both continuous and batch processes
Sensors reconstruction and “soft sensors”
By using machine learning methods and statistical methods to take advantage of the redundancy of information from various sources (sensors) to predict unknown variables.
Qualitative representation of signals and trends
Numeric to qualitative representations, signals as sequences of episodes.
Structured data mining
Machine learning methods, Pattern discovery algorithms in sequences, boosting, genètic algorithms, SVM, etc.
Case Based Reasoning (CBR)
To support decision-making based on previous experiences.
Data acquisition infrastructures
Scheduling and Resource Optimization
Heuristic and meta-heuristics methods (Simulated Annealing, Genetic Algorithms, Swarm-based methods)
Augmented automation
Man-robot cooperative interaction, educational applications with mobile robots.